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    Software How-To

    The Women in Tech Show: A Technical Podcast

    A podcast about what we work on, not what it feels like to be a woman in tech.
    Hosted by Edaena Salinas, Software Engineer at Microsoft.
    Website: wit.fm

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    Latest Episodes:
    Leadership and Software Development (Shobana Krishnamoorthy) Mar 16, 2021
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    Subscribe: Apple Podcasts | Spotify | Android

    There are many paths to a career in technology. Shobana Krishnamoorthy, Senior Software Developer Lead at Microsoft, talked about her time growing up and learning to code with limited access to a computer. We also talked about her work and trajectory as a Software Developer Lead. At the end, we covered topics around the Grace Hopper Celebration, and open source mentorship.

    @techwomenshow

    Shobana Krishnamoorthy

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    Product Management (Tracy Mahnken) Mar 09, 2021
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    Subscribe: Apple Podcasts | Spotify | Android

    Product management is a core area that helps us build software products. Tracy Mahnken, Vice President of Product at NerdWallet, explained the different areas of product management. We talked about product experimentation, cross-discipline collaboration and market research. Tracy also talked about important skills to have in product management and leadership positions.

    @techwomenshow

    Tracy Mahnken

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    Technology in Language Learning (Maya Goodall) Mar 02, 2021
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    Subscribe: Apple Podcasts | Spotify | Android Technology impacts the way we learn new languages. Maya Goodall, Senior Director at Rosetta Stone, explained how different technologies are used in language learning. We talked about Lingual Learning, a company she co-founded to help students learn English. Maya explained the challenges students face and the importance of embracing heritage languages and diverse backgrounds. We also talked about her current work at Rosetta Stone, and how they’re using Artificial Intelligence in tools for language learning. @techwomenshow Maya Goodall Transcript ES: I’m Edaena Salinas, software engineer and host of The Women in Tech Show, a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show, go to wit.fm Technology impacts the way we learn new languages. Maya Goodall, Senior Director at Rosetta Stone, explained how different technologies are used in language learning. We talked about Lingual Learning, a company she co-founded to help students learn English. Maya explained the challenges students face and the importance of embracing heritage languages and diverse backgrounds. We also talked about her current work at Rosetta Stone, and how they’re using Artificial Intelligence in tools for language learning. Maya, welcome to The Women in Tech Show MG: Thank you so much for having me. I’m thrilled to be here. ES: I want to begin our conversation by talking about entrepreneurship. In 2012, you founded Lingual Learning along with Christy Shelley. This company was later acquired by Rosetta Stone, which is where you currently work. What was the main idea behind lingual learning? MG: The main idea behind legal learning was to help learners at school who are non-native speakers of English achieved parity with their native speaking counterparts. We built lingual learning ourselves because no one else was giving emergent bilinguals an opportunity to talk in class. We wanted to flip the traditional classroom model where the teacher does most of the talking and put the emergent bilinguals in the talking seat. ES: What’s usually the background of emerging bilinguals? MG: Traditionally, these students have been referred to as English learners, and we felt that was a deficit point of view, focusing on what the learner didn’t have rather than who they were becoming bilingual, we wanted our language to reflect our beliefs that heritage language has value and can be used to learn the second language. ES: Can you talk about some general statistics of emerging bilinguals? I want to get an idea of how big this project was. MG: Yes, well, about one in four students. By the year 2025 will be considered an emergent bilingual, and the interesting thing about that number is of those one in four, about 85% of those learners were actually born in the United States. Most people have this notion that emergent bilinguals are recent immigrants. Or they, you know, just arrived to the United States. But in fact, they’re usually American citizen, and they have had the benefit of growing up in a house where their parents are speaking another language to them, and they get to go to school and become bilingual there. It’s a large population and it’s going to continue to grow in the United States. ES: So you’re mentioning you’re starting Lingual Learning, particularly to tackle this this challenge. Back when you were starting it, what were the first signs that you saw to come up with an idea and to decide this is a viable company. MG: Yes, well, I came from the classroom. I was a classroom teacher and I taught in the United States Spanish actually, so ESL. So I taught in English and Spanish. And then I also taught English as a foreign language outside of the country. These two kind of definitions or points of view for second language acquisition really struck me. In California at the time, there was a law being passed called 227, which was the English only law because people were wondering whether or not students could learn how to read, write and speak in two languages at the same time. When I left the country and taught English as a foreign language, those teachers knew the answer that of course someone can learn how to read, write, and speak two languages at the same time. There was no disconnect there. They concerned themselves with how best to achieve that goal. So when I came back to the United States, I actually started working for a large traditional publisher, and it was there that I met Christy Shelly, my business partner. We were having conversations with educators across the nation about how to help their, then referred to as “English learners” because generally, there was something else going on and that was, the learners were expected to learn English, and also subject matter content like math, science, social studies at the same time. Most of the teachers were not trained for foreign language teaching or second language acquisition, so they were focusing exclusively on the subject matter, sort of skipping over the language teaching. We saw this to be a problem over and over again as we visited and spoke with administrators in the United States. That’s how we knew that this was something that we wanted to tackle. Christy also is an educator, so we both had that mission always in mind, and through talking with so many people trying to help their learners do two things at once, learn content subject matter in English. We knew it’s something we wanted to dedicate ourselves to. ES: Earlier you mentioned that to approach this, you wanted to shift the focus away from more traditional approaches, like having the teacher constantly talking to the students. Can you talk about key differences in the learning approach? MG: The traditional approaches follows this idea that if you do a lot of speaking or create input for the learner, they will naturally start to understand that input and then they will create their own output. They’ll start speaking and that traditional view is really based on native language learning. So if you think about a baby and its caregivers and if they are talking and singing and producing language, the baby will learn that language. In fact, our brains are wired for it. So the idea was that for the second language we could follow the same course of action provide lots of input that the learner could understand and eventually they would create their own output. But what we know is that second language learning isn’t exactly the same as first language learning, and you actually have to give instruction for the second language, which is great, and it’s also viable to use the first language as in teaching, we call that background knowledge. If the learner has any sense or understands the subject that you’re going to teach them, you sort of create a hook on to what they already know, and then a bridge to the new subject. So in this case, all the learners already know a language, so we can use that as a hook, create a bridge, and help them learn the second language. ES: Speaking in a little more detail about this, but I like the analogy that you mentioned of the bridge and the hook. Bringing this back to the company. Can you talk about some of the solutions that you were building at the company. MG: For Lingual Learning what we were doing was building opportunities for the students to actually practice speaking. We used particular types of scaffolding, which is breaking language down for the learner in English, so that they could, the teachers could hand over that language and have the learners create it for themselves. What we were finding is that teachers were so used to doing all of the talking, that they didn’t actually give the learners time to practice speaking. When you’re learning a second language. You need a lot of time for repetition. You need a lot of think time. There’s a lot of mental processing going on, and traditionally the classroom is a very fast place. And teachers weren’t necessarily allowing the students all the time they need to digest new language information and then create it again in new utterances for themselves. So we really wanted to make that easy. We wanted to have a step by step flow that the teachers could follow that they could feel good about. One of the concerns we heard over and over again is: how will I know that my learners are actually talking about what they’re supposed to be talking about? So we really wanted to ease the teachers burden with that and create a step by step flow so that whenever the teacher stopped to listen to the learners, they could know exactly what to listen for if they heard that, then they could move on to the next group, let’s say. But we really wanted to build in that speaking practice time for the learners so that they could digest the new language. ES: Sounds like you were building a lot of activities and curriculum and guidance around this, right? MG: That’s right. ES: How big was the team at the time? MG: The team at the time was started with Christiane myself, so it was just the pair of us we actually designed All of the activities and curriculum and then we started working with other people on a contract basis. We were very lucky people were really aligned with our mission and People gave us a lot of their time for free and helped us think through some of the activities and the curriculum and do some of the writing, but the majority of all of the work was done by Christy and I. We had the good fortune of being able to take our curriculum directly to the schools and work with hundreds of teachers, actually, we got a lot of feedback from the teachers. We learned a lot from them about implementation and because we were so small, we were able to take that research basically that they were giving us and apply it immediately to our curriculum. So we had a symbiotic relationship with the teachers and administrators, the campuses that we were working with. And we were able to take their information, apply it directly into what we were doing, and make sure that we had a positive outcome. ES: I really like this because it’s a clear example of you built a company in an area that you have already been working on, got exposure internationally and then. You are basically solving a problem that you are constantly seeing. MG: Yes, that’s right. That was our goal. We were trying to solve a problem that people were clamoring about actually. So in the United States there’s another term for emergent bilinguals, an that’s called long term English learners. And when you have a student who starts kindergarten and is labeled or identified as an English learner and then gets to about the 5th grade and hasn’t progressed in their English language proficiency, they then get a new label of long-term English learner, and we knew that we wanted to help solve that problem. We know that it’s possible for learners to become bilingual. And we know that something was missing and that missing piece we saw over and over again was this opportunity for speaking practice. ES: In 2017, the company was sold to Rosetta Stone. How did this conversation start? MG: Well, Christy and I knew that we had a mission ourselves in terms of how many learners lives we wanted to affect. So we had a goal and we knew that in order to achieve that goal we were going to have to partner with a larger company or get funding. And that’s because we knew we had actually always had the idea to be an edtech company, and in fact had first started our platform online when we approached our first customer and they asked us for our curriculum, they told us they didn’t have the online infrastructure in their school district to support it that way, and they asked us to actually go back and print out the lessons for them. And so we did, and so that took us down a print road that we were not expecting. We had always kept in mind though that we wanted to be edtech. And we wanted to be able to, you know, affect more students lives through technology. So 2017 was about five years after we founded, and we knew that it was time for us to broach that subject again. We attended incubators and some other places within the ecosystem to see who might be a good fit for us and the very first person we met was the President of Lexia. So Lexia Learning and Rosetta Stone are sister companies and at the time they were looking for away to reach into the emergent bilingual market. And so it was perfect timing. We both have the same mission which is to help learners and change their lives through the power of literacy and language education. So it felt very serendipitous and like the right fit from the very beginning. ES: One thing I’m also curious about is, when these conversations are starting to happen and you’re both on the same page, and it seems like you are targeting the same goal. Then we have to move on to the next phase, which is how is that acquisition going to happen? What were some things that you and your partner were thinking about in terms of do we need to negotiate? Did you negotiate, or how did you prepare for this situation? MG: Yes, we did negotiate and the negotiation process took about a year, so it was not a quick turn around. We had our legal representation help us with our negotiations. We also reached out to former colleagues who we knew had been through negotiations themselves, so just ask questions and help us think through what types of questions to ask and you know what types of things to look for. So slowly, overtime, the negotiations took place an honestly every step of the way felt right. It felt good. There was no time where we felt unsettled or thought that maybe this wasn’t the right thing. It was just a matter of getting the details right, but we really, because of the alignment and because basically of the technology assets that we knew we would have access to, we were really excited about the process. ES: Can you talk about some of the key learnings during this negotiation process? You’re mentioning you’re leveraging a lot your network, getting feedback from other people that have been in this situation, was there something that surprised you or that you were glad you were told? MG: Oh that’s great. Well, I think the most surprising thing is that negotiations don’t have to be difficult or scary. In fact, it’s you know like minded people trying to reach an agreement so that everybody, at least in our case, so that everybody could win and get what they wanted and for us, because we’re in education, the ultimate goal is to make sure that we have this opportunity to create, you know, curriculum that is going to help the learner. All of us have that same mission to serve the learner. So I think it made these negotiations possibly a little easier because we have kind of an altruistic goal along with the rest of the goals that we’ve got. ES: You’re currently senior director at Rosetta Stone. You started working here after that acquisition. They are mostly known for their language learning products. Me personally, I used them a lot growing up, so I have very fond memories of them. Can you talk in more detail what Rosetta Stone is all about now? MG: Yes, so one of the reasons that we’re Christy and I are both with Rosetta Stone is because they wanted to purchase our intellectual property and they wanted to keep us on board to help build out the program. So we, again just kind of illuminates, our relationship with the company was very good from the beginning. So Rosetta Stone, you know has been around since 1992 and their original mission. It was, you know, very much what our mission is and to help students or learners of any age really become bilingual, learn that second language. For us, at Lingual Learning and Christy and I, in particular that bilingualism helps promote the cause of peace in terms of just being able to communicate with more people, having better problem solving skills and really you know, just…

    Full show notes at the publisher

    Advertising at Google (Sissie Hsiao) Sep 21, 2020
    Show notes

    Subscribe: Apple Podcasts | Spotify | Android Google’s main source of revenue is digital advertising. Sissie Hsiao, VP of Display, Video and App Advertising at Google, explained what digital advertising is and its workflow. We also talked about the role of Machine Learning in advertising and tackling invalid activity. Sissie then explained her path to a leadership role. @techwomenshow Sissie Hsiao Sponsors Transcript ES: I’m Edaena Salinas, software engineer and host of The Women in Tech Show, a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show go to wit.fm. Google’s main source of revenue is digital advertising. Sissie Hsiao, VP of Display, Video and App Advertising at Google, explained what digital advertising is and its workflow. We also talked about the role of Machine Learning in advertising and tackling invalid activity. Sissie then explained her path to a leadership role. Sissie welcome to The Women in Tech Show. SH: Thanks, I’m so excited to be here and thank you for inviting me to this. ES: It’s great to have you on the show. I’m excited as well. First, I want begin talking about technology. This is something that has been a part of your life since you were a kid. One example is gaming, which you have been doing since you were six years old. What was your introduction to gaming? SH: Yeah, I have really fond memories of gaming and I’m embarrassed to say that I still am a gamer. I Identify myself as one. My first recollection was watching some kids play, you know, the first versions of Mario on a Nintendo console. I think that was around when I was six. I begged my parents for one and ever since then, I grew up playing video games and that really influenced my decision or actually last minute decision to go into computer science. I thought that using code to create like a world and a story and characters was just so fascinating and very creative and said that’s been a defining part of why I chose this field. I always thought I would essentially make video games someday in my career I didn’t get around to that, but I did the next best thing which is to build products and businesses that support game developers. Right now I build a lot of essentially a business around helping app developers, not just game developers, lots of developers, but we have a lot of clients who are app developers, who are game developers, help them find relevant users who would love their games. An also help them monetize their games through advertising. I’m really happy that even though you know I didn’t get around to making games in my career, I’ve been able to build great products and services in support of that vertical. ES: You mentioned that gaming influenced you to pursue a career in computer science and technology. You also mentioned that it was sort of a last minute decision, what was the other field you were considering in studying? SH: My father is a professor in the field of finance, so, it was senior year in high school, I was thinking about becoming a business major for my undergrad, and one day I woke up and I just had an epiphany, which was like, why can’t I go into computer science instead and worry about getting an MBA later, was the plan. The irony is I never got around to getting the MBA, but you know the process was very much a snap decision and again prior to that I had never really written any code. I think lots of girls growing up in my generation were not exposed to coding in the areas of computer science. You know, going through regular public schools here in the US, and so it was a bit of a last minute decision and I have to say a really very very good one because it ended up being a field that really much suits my passions, which is just, I love that technology is so open ended and it’s so dynamic, you know I can think of all the advancements in the past ten, twenty years. Most of the very interesting advancements to how you know how we live, behave, work, all of those things, influencing humanity, being advanced in the areas of technology. Technology is something that I feel like is such a powerful tool that you know can exponentially improve everything around how humans operate and work every day, bring it to my job right now. Our mission using technology is to help keep the Internet free. An open through advertising through making sure that advertisers can find their users. They’re making sure that publishers who create content can monetize their content so that it can be free. For users and for users to find relevant services, but also to have access to free content. But it’s just one way that it’s really powerful thing that there’s a free Internet that everybody has. You know equal unfair access to content in a very open way. An again that couldn’t have been made possible without, the technology advancements that we’ve all been building through our careers. ES: Let’s talk a bit more about digital advertising first. For people not very familiar with how advertising works, I want to get a general idea of the workflow and some of the pieces involved. I know it’s it’s a very broad field and there are many use cases. Can you give an example scenario of how advertising works from releasing an ad to seeing the outcome sort of? What are the pieces in this technology and in this process? SH: Yeah, sure. Well there’s firstly what we call the ecosystem and then I can talk about the steps in how an ad works like the life of an ad. Really the ecosystem, it is three primary constituents. There’s one group of people, I’ll call them advertisers. Really they’re businesses and businesses what they want to do is they want to find customers. So whether that’s your local restaurant that wants to find customers or a travel site that wants to find customers, there’s a bunch of customers. SH: Roughly they’re businesses, and what they want to do is buy ads. The second constituent is obviously the user. This is the user that the business wants to attract. This is the user that’s using the Internet every day. Surfing websites using apps, etc. And then the third constituent we don’t talk a lot about is what we call the publisher, and the publisher is typically you can think of it as small as a blogger on a website all the way up to the New York Times. A very, very big publishing house, an in apps land. It’s people that make games, but essentially, people who create content, and typically because that content is freely accessed the way that the content creators are compensated is often through putting ads on their content in order to drive some revenue for, you know, the services that they’re offering, which is free content free access to services and apps and games and so forth. So really, there’s a symbiotic relationship between advertisers, users and publishers. The publishers get paid for their space roughly. And advertisers are essentially trying to attract users through advertising. So it’s a very well balanced and elegantly designed ecosystem and within that an advertiser, let’s just say I am a developer of new yoga app and I want to make sure that people who love yoga, who might subscribe to my yoga service in the app, have access and know about this app because finding a service and finding your users is actually really hard. You want to attract the right users to your app, not the ones who might not be interested, but you also need to evangelize your app and get it out to people. So you might go to one of the tools that we built something called App Install Campaigns and you might say: I have a yoga app, I want to find users, I’m willing to pay X dollars per install. And in our case we’ve used machine learning to essentially automate all of the processes of what happens after that fact. So there’s a lot of parts of ads that involves, like where do I want the ads to show? What do I want that to look like and say how much I should I pay for this ad if I’m trying to drive a $1 install and only 1% of the users will click, another, you know small percentage of those will actually install. How much should I pay and that involves a lot of machine learning and prediction models and so forth. And also prediction models to determine, for example, who I should not to show the ad to. There are many users in the world who probably are not going to be in the market for a yoga app and it would be wasting the advertisers dollars in showing those users the ad. So process of buying that ad and then figuring out all the pieces and so forth is done through the tools like ours that we provide to advertisers. And that’s what my team builds everyday is how to make those ads really affective. Very beautiful. Very appropriate, very relevant to users, and also making sure that we’re hitting the business objectives that the advertisers are telling us. ES: And you’ve been this space at Google since 2008, which is about 12 years. What do you find interesting about working in advertising? SH: Yeah, I think the most interesting thing is that you know digital advertising, which is roughly advertising that lives on the Internet. I mean, prior to the Internet, you know I’m old enough to remember that you know advertising was, you know 32 second commercials in between breaks on TV that you were watching some show for 30 minutes. But digital advertising arose as part of the rise of Google and search and models for finding things on the Internet. That might be things that you need. And what’s fascinating is that it is definitely a very dynamic space. So, for example, the product that I talked about, which is app campaigns, we took a very different approach to buying advertising which was basically taking what was prior to that, a very manual process where the advertiser has to essentially manually input what ads they want, where they want the ads to show how much they want to pay for each of the ads, which is very manual, very grunt work involved. Hiring lots of people to push lots of buttons and look at lots of dashboards all the time. And interpret data and then you know two knobs to moving that to a machine learning model and of course machine learning is a huge area of technology. Applying it to advertising and building one of the largest revenue driving implementations of machine learning is really interesting. That’s been one technology change that you know when we’ve applied it to advertising, which is a perfect problem to apply it to because it’s very data driven. It’s very well modeled in terms of the math in what the outcomes you want, but just building that at a massive scale has been extremely interesting, and seeing the results be, demonstrably better has been very gratifying. SoI would say that digital advertising, even though it feels like it’s been around forever, it hasn’t. And the dynamic part of the business lends itself to technical innovation like the machine learning I talked about, but also Business Innovation. I think there’s new models to be introduced in digital advertising that my team continues to innovate on. That’s what keeps it interesting. It’s not a solved problem. There’s lots of areas that can be improved and improved in non incremental ways. It improved in much more dynamic and larger steps like the machine learning one that I talked about. ES: And Google’s main source of revenue is advertising. I was going to ask you about characteristics of how Google approaches it. I’m getting a really good idea from you. There’s machine learning involved, a lot of automation. I was looking at how to set up app ad campaigns and I did see what you’re describing where it just says you don’t need to design the individual ad, just provide resources, provided text and behind the scenes we’re seeing through this automation, the tools are able to experiment and provide different formats of vets and then measure what works. I’m getting the sense of an A/B testing approach and all this is done on behalf of the person that wants to publish the ad, right? SH: Yeah, exactly. As you can imagine there’s many layers of machine learning algorithms in the background, really dynamically trying to figure out how to. Place ads, and yeah, we’re very proud of this product. I think it’s just a demonstration of how technology can be a new technology that is now becoming. You know, even more advanced can be applied to. I’ll call it a space that had one model of solution which is more manually tuned advertising and really completely rethinking it and reshaping it. ES: When we develop software, we think a lot about our end user, but also we think about malicious users and how the tools and technologies that we build can be misused. In digital advertising one of the scenarios that I saw was in the form of invalid activity and I did see that there are also tools that Google provides to stop invalid activity. Can you give some context around this scenario? And why it’s important to look at it in advertising? SH: Yeah, sure, I think that invalid activity or a class of spam and fraud and abuse of the systems is an issue that certainly, digital advertising has as well as many other technical systems. I think in the early days of Google, for example, we needed to make sure that people weren’t spamming our search rankings through different techniques to make their websites show up higher, for example. I think in digital advertising because there is a monetary trade of value because the ads themselves have value and the clicks have value and the conversions the purchases have value, there’s a business that’s willing to value those with a certain dollar amount, there’s always going to be people who then figure out how to trick or provide implementations of the systems that then are more abusive. So you brought up invalid traffic. That’s a technique to pretend like there’s real traffic where there isn’t. Maybe through bots or other things like that, which then causes a payment to be issued incorrectly to non real humans. So those are just examples. I think that it’s an area that we actually have a lot of systems. Internally we have a whole team of people who focuses on this topic and make sure that when we do buy ads on behalf of advertisers that we’re buying good traffic. That of course relies on lots of again machine learning. Other techniques really smart engineers who are constantly trying to measure where the flow of bad traffic might come from, and what techniques are being used to spoof and then to detect and not for example, render our ads on that kind of inventory. ES: Exactly, and like you’re mentioning, this is an on going process, kind of analogous to spam email, where attackers or users find new ways to create different kind of spam email and then we constantly, behind the scenes, have systems learning about this new ways and sort of tackle them and improve these tools right? SH: Exactly, yeah, it’s never fully done because there’s always more to do, and there’s always more creative techniques that are being used by the spammers. ES: Your current role is VP of Display, Video and App Advertising at Google. What are some important qualities for this role? SH: My role that I took on over a year ago now, our mission is to keep the Internet open and free while balancing the needs of users, publishers and advertisers. And we take that really seriously to heart. And so I think just as any leader you have to have a mission, number one and number 2 really believe in it and make sure that all of your goals and your team are aligned behind that. Specific to Display Video and Apps Advertising, it’s a really broad set of customers. So our display customers are very different than our apps, customers and so forth. So thinking about what kind of products and services are needed to, for example, on the app side, helping app developers find users through app installs. There’s a lot of commonalities to, for example, a display advertiser who’s trying to find a user to convert on their website.…

    Full show notes at the publisher

    Technology and Engineering at Intel (Huma Abidi) Sep 16, 2020
    Show notes

    Subscribe: Apple Podcasts | Spotify | Android

    Intel Corporation is one of the largest semiconductor chip manufacturers in the world. Since then, it has expanded and built technologies in other domains. Huma Abidi, Senior Director of AI Software Products at Intel, talked about the semiconductor and microprocessor. We also talked about technologies developed in Artificial Intelligence and Machine Learning. At the end, Huma explained her path to an Engineering Manager role.

    @techwomenshow

    Huma Abidi

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    Transcript

    ES:

    I’m Edaena Salinas, Software Engineer and Host of The Women in Tech Show, a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show go to wit.fm.


    Engineering Leadership (Kate Reading) Sep 09, 2020
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    Subscribe: Apple Podcasts | Spotify | Android

    Leadership in engineering is about driving product development, helping engineers elevate their careers, mentoring, managing conflict, among many other things. Kate Reading, Engineering Manager at Asana explained her path from Software Engineer to Engineering Manager. We talked about her experience in this role and its characteristics. Kate also explained the transition to a remote team because of the COVID-19 pandemic. We also talked about her work in the Platform Integrations team at Asana.

    @techwomenshow

    Kate Reading
    Kate Reading

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    Design Principles to Combat Domestic Abuse (Lesley Nuttall) Sep 01, 2020
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    Subscribe: Apple Podcasts | Spotify | Android Since the outbreak of COVID-19, domestic violence against women and girls has increased. UN Women released a report with this information earlier this year. Lesley Nuttall, who works at IBM Security Labs, gave an overview of the statistics for domestic abuse. She also explained how technology is misused to intensify domestic abuse. Later we talked about her article “Five Technology Design Principles to Combat Domestic Abuse”. Lesley highlighted the importance of thinking about these concepts when we work on software and other technologies. @techwomenshow Lesley Nuttall Sponsors Transcript ES: I’m Edaena Salinas, software engineer and host of The Women in Tech Show, a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show go to wit.fm. Since the outbreak of COVID-19, domestic violence against women and girls has increased. UN Women released a report with this information earlier this year. Lesley Nuttall, who works at IBM Security Labs, gave an overview of the statistics for domestic abuse. She also explained how technology is misused to intensify domestic abuse. Later we talked about her article “Five Technology Design Principles to Combat Domestic Abuse”. Lesley highlighted the importance of thinking about these concepts when we work on software and other technologies. Leslie Nuttall, who works at IBM security labs, is joining us today. Leslie, welcome to the women in tech show. LN: Thank you, it’s a pleasure to be here. ES: I want to talk with you today about domestic abuse and how technology has an impact in this. Particularly because I saw you wrote an article titled 5 technology design principles to combat domestic abuse before we get into detail about what those design principles are, I first wanted to begin with some context around domestic abuse, and some statistics about it. What have been some recent findings that you’ve seen on this? LN: Yeah, so I mean, domestic abuse is basically about control an and it doesn’t discriminate, so anyone of any gender, race, religion, age, sexual orientation can be a victim or a perpetrator. LN: But having said that, statistically it does appear that the majority of domestic abuse is a gendered crime. I have some UK crime statistics from 2018 and they showed that 92% of defendants in domestic abuse related prosecutions were actually men and 66% of the victims were recorded as female. Well, I mean the other bits were that 13% were male and 21% of the prosecutions victims, they weren’t actually recorded, so it is at a prevalent issue. And here in the UK, it’s actually estimated that one in five people experience domestic abuse in their lifetime, but for women that actually rises to one in three. And in other countries around the world, it’s it’s also prevalent in the United States, one in three women have experienced physical violence from an intimate partner, whereas in parts of sub Saharan Africa, partner violence is thought to be a reality for 65% of women, and it’s just everywhere, and even in the EU wide survey they indicated that 22% of women have experienced violence by a partner. And of course it varies in different countries, but it’s just everywhere unfortunately. And there was a UK news investigation particularly related to Tech facilitated abuse, and that was I think it was at the beginning of the year and they found that there was an 1800% increase in alleged cyber stalking offenses between 2014 and 2018. I think it was so we know that domestic abuse is a prevalent issue, and while that hasn’t changed, maybe the tools of their trade has, unfortunately. ES: As of June of this year, there are regions still around the world that are on lockdown because of the COVID-19 pandemic. How has this affected domestic abuse? LN: Yeah, you’re right. I mean, it’s what’s deeply worrying is that there was a UN report that came out a little while ago, and it was exploring the impact of COVID-19 on on women and that in particular highlighted a trend of increased abuse. Because basically when homes are placed in lockdown. There under more strain and that unfortunately exacerbates the situation, and there was another report. I think it was a UN population fund and they assumed a 20% increase in abuse all around the world and it’s become so widespread that the UN chief made a call for measures to address this, and I think he said it was a, and I quote “horrifying global surge in domestic violence”. And some other statistics, here in the UK we have a charity called Refuge and the run the National Domestic Abuse Helpline. And they saw that during lockdown, 60% more people were calling the helpline. And they had a 950% increase in traffic to their website. So it has definitely exacerbated the situation. But the way that technology is being used to enforce control during lockdown, it may have actually shifted focus. So it’s potentially less likely that perpetrators might be tracking your location or your calendars. But they may be using other techniques more, such as maybe monitoring video chats, or using smart home devices for manipulation. And often victims who are in this lockdown situation have no means of escape or they have limited support during the time. So it seems to be easier for abusers to gain that control. ES: What are other examples that you know of about how technology is misused? LN: Gosh, there are a lot unfortunately. So pretty much, any tool can become a weapon in the wrong hands. And that’s also the same with technology. Some of the typical examples we give, at home I have a connected doorbell, and within the app I can see who is at the door, and it also tells me of any movement outside. It’s a really great piece of tech because it was built with safety in mind. But I could use it to monitor and track my family because I get these instant notifications the moment any attempt is used to leave the home. So it can be used in both ways if coming and going. And then another example, so when you share your location of your device, it will often, LN: I think if not all the time, share your battery level and now that seems like a really innocuous piece of data and it can actually be quite useful, because if you’re suddenly if you’re on public transport, say or driving. LN: And your partner sees you suddenly stop moving. It isn’t because you’ve had an accident is because your phone died. But with that small piece of information in the hands of an abuser, the victim can’t escape that relentless barrage of abuse. You know, just by turning off their phone and telling a little white lie that their battery had died. LN: Because the abuser will know instantly that they’d lied and that could lead to an escalation in abuse. So I mean, there’s loads of other. There’s other examples could be spyware for surveillance. You can mirror devices so that you can see exactly what the person is doing on their phone or their device with your device. Bombarding with abusive messages, harassment, social media, financial monitoring, smart home devices. It just the list goes on, unfortunately. ES: In that article that I mentioned earlier, you talk about this investigation from the UK and how they found people are reporting their experiencing technology facilitated abuse. Is what you’re describing right now, the various examples, is this what technology facilitate abuse consists of and what it means. LN: Yes, so technology facilitated abuse is basically using technology for malicious purposes and I use that word. I mean, we know that technology is increasingly coming apart of our lives, I mean, and there can be immense benefits in the home to that can safeguard us. It can ease our routines and enrich our experiences.But you can also use that technologies and in a jewel app kind of way they can be used to make the abuser appear or seeing they can know everything. So all knowing and to the victim they can appear all powerful and that makes them feel vulnerable, powerless and they also for that they can’t escape and that nowhere is safe. ES: I’ve read different kinds of stories around this. Some of them have been about what you’re describing. Others have been people finding ways to get out of situations like they would order a pizza, and they put a note there that to call the police and that kind of stuff. So it’s. It’s also what you’re saying that there are pros and cons of the technology that’s everywhere right now, right? LN: Exactly, yes, and technology definitely can be used to help. I mean, there’s quite a few apps already out there that can be used to help victims or survivors find help or call for help if they need to. But yes, it can also be the other way where our technology is manipulated and that’s basically what these design principles were all about is raising awareness that, unfortunately, even though you have all the best intentions when you’re creating your technology, people will find ways of leveraging it to cause harm. So if you had that in the back of your mind right from the beginning, and you built your technology from the ground up, you know we’re thinking of that kind of bad actor use case. Then hopefully we’ll make it more resistant and you know, maybe even a bit safer people. ES: Exactly. In this article you begin this way, you talk about domestic abuse, some statistics, then some examples on how technology is being misused. Then you begin to present this idea of the five principles of products before we talk in detail about those, I wanted to ask, in your opinion, if you thought the companies or the people that developed technology, should they take responsibility of the fact that products that they build are being used to facilitate domestic abuse? LN: Yeah, it’s a good question. Because I mean, I firmly believe that, there are few of us in the technical community that intentionally create technology that causes harm, but it’s possible that we’re disconnected from the unintended effects of our creations. And when we started this initiative an we were looking at what’s available to help people in these kind of abusive relationships where technology is being used against them. Like I said, there’s quite a lot out there already to help them. How do I do set my phone up so that the privacy settings are how I would like them? Or you know how? What should I remove? What should I add so there’s a lot of like app like that out there, but that puts the onus on you and me. The end user to keep ourselves safe. I don’t think we’ll ever get away from that, but I would like to put some of the onus on on. Yes, the technology or the creators of the technology for us to think about that and how we can make life easier or safer for you and me. The end user. So that’s the aim anyway. ES: Let’s talk now about the five principles. The first one that you present is promoting diversity. Can you explain why this principle is important, particularly for what we’re talking about, developing technology and thinking how it can be used by abusers? LN: Yeah, definitely. So I guess often when we’re developing a new technology, we we have target users in mind, but they might not be the only type of users that actually end up using our systems and often unexpected users utilize our apps or or our systems in unexpected ways. So if we have a diverse design and development team. That actually broadens the understanding of user habits and so it allows you to have a greater exploration of use cases. Both the positive, the ones that you’re targeting maybe, but also the negative. And in this case it would be. How could it be used by a bad actor who’s trying to abuse, and so a nice example here is where you have location data that’s embedded in images. So if you’ve developed an image sharing app and maybe you haven’t considered that, children might be using your app, so you haven’t put that use case through your system and you haven’t thought about that. Maybe they would inadvertently share that image with somebody and they would then know their location. So in this particular scenario, let’s say we had parent and child who were escaping an abusive relationship, the parent doesn’t necessarily want to, you know, restrict their child from talking to the other parent and maybe they’re doing some homework one evening and their parent, the estranged parent, asks for an image of their homework to help them if they don’t realize the child is too young, maybe to understand the wording used in the privacy settings. They don’t realize that their location is included in that image or they think it’s a photo and then the strange partner then knows exactly where they are and you know they might have to scramble and run away. But if you had someone in your team that had maybe that experience or had read about these principles or had that experience and they could share that with the rest of the team. You would then try and include children in your in your target users. ES: The other one that you talk about is guaranteeing privacy and choice. What are current issues that you have seen of how privacy settings are presented? LN: Yeah, so this is all about making it easy for us to make active, informed decisions about our privacy settings. So often you might see little small red buttons on there, or maybe they’ll be phrases like advanced settings. And that can be quite intimidating, and it’s also if you have a big large green button or a little red advanced settings. It’s kind of quite obvious which one you’re going to choose and which ones easier and which ones more understandable, but you might not understand the consequences of that choice so, so that’s quite important, so I’ll give you one other point on that aspect. It’s about your default privacy settings. They’re very important because often when people you know don’t go towards the advanced settings or don’t go towards a small red button, they will choose the default settings and you need to make sure you factor in all these different kinds of scenarios. So I’ll give you a kind of a personal example, but it’s not quite domestic abuse related, but it gives a good explanation of why we might want to have appropriate default settings. So my husband, he went for a run in the local forest and he uses one of those fitness apps that keep track of your running and everything. So we set it up and then he went running through the forest and he and he passed another lady runner as he was going past didn’t think anything of it did his 5K. He came back and passed her again at the car park and then once he got home he showed me it popped up and said oh it looks like you were running with this lady. Would you like to connect with her and because her default settings were set as default everything was open. He could see you know who she was. It could see the links with social media. He could see what group she was in. She happened to be in a mom’s running group, so he knew she was a mother. She only had a few followers so he could tell by the surname who the husband was on his settings like me. Everything is locked down. Yeah, so she has no idea that he’s seen all that information about her, so that’s just a really simple case where you know default settings, everything’s open. And maybe that’s not the right choice for every every app. ES: Exactly, yes, because sometimes I get it that some applications their whole purpose might be to connect and you can meet new people. So if everybody has locked their information, there’s nothing to see. So I get it why some might choose to leave everything open by default, but a lot of times this is misleading or I’ve encountered cases where the option to not share is greyed out and the text is very small and it doesn’t even look like it’s a button, but it’s a button, so it’s like they’re trying to guide you to choosing what they want you to choose. LN: Exactly, and sometimes a lot of apps now because of wearables, and you know…

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    Podcast Technology (Brenda Salinas) Aug 25, 2020
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    https://media.blubrry.com/thewomenintechshow/wintshow.files.wordpress.com/2020/08/s2e1-brenda-salinas.mp3 Subscribe: Apple Podcasts | Spotify | Android Digital journalism enables us to reach a wider audience that traditionally we might not have been able to reach. Brenda Salinas, Audio Content Strategist at Google explained what digital journalism is and its impact. We talked about advancements in audio technology particularly in podcasting. Brenda explained how artificial intelligence can be used to index podcast topics an allow people to discover content. We also talked about several software systems in podcasting and how the field has improved. Brenda also gave an overview about her trajectory in digital journalism. Brenda Salinas @techwomenshow Sponsors Transcript ES: I’m Edaena Salinas, software engineer and host of The Women in Tech Show, a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show go to wit.fm. Digital journalism enables us to reach a wider audience that traditionally we might not have been able to reach. Brenda Salinas, Audio Content Strategist at Google explained what digital journalism is and its impact. We talked about advancements in audio technology particularly in podcasting. Brenda explained how artificial intelligence can be used to index podcast topics an allow people to discover content. We also talked about several software systems in podcasting and how the field has improved. Brenda also gave an overview about her trajectory in digital journalism. Brenda Salinas Baker is joining us today. Brenda, Welcome to The Women in Tech Show. BS: Thanks for having me. ES: You have a background in journalism, in digital journalism. You’re currently an audio content strategist at Google. First I want to begin with your opinion of what digital journalism means. BS: When I hear digital journalism for me it’s the ability to reach listeners in audio readers in text to reach audiences that in traditional journalism, we wouldn’t be able to reach right? So before if you were a newspaper Reporter. Your newspaper circulated in your city and every once in a while maybe you’d get a syndicated article in the national paper, but that was rare. And in radio, if you were a local radio reporter, your voice only carried as far as that FM or AM signal. And now with podcasting. With digital platforms, you’re able to reach audiences all over the world on their own time, and I think it really amplifies the power of our voices. ES: Throughout your career your held various roles. One of the early ones in your career began with being the recipient of the NPR Kroc fellowship. Can you explain a little bit what this was? BS: Sure, so growing up all I ever wanted to do was be a storyteller. I come from a very rich oral storytelling tradition and I started listening to NPR when I was about 14 or 15 because my teachers at school would talk about a story that they heard and I always wanted to be in the know. So I made my mom. My mom was a teacher at my school and we would always listen to the radio together on our way into school. And you know, instead of listening to the pop station I made us, listen to NPR. And when I heard the voice of women who sounded like me. Lulu Garcia Navarro Maria Hinojosa, Latino women who pronounced their names the way that I pronounce my name and told stories about their communities that really lit a spark in me and I thought, you know, I’ve always wanted to tell stories I’ve always wanted to write. I think I want to tell stories on the radio. And when I was in University, I studied economics and during the summers I interned at my local public radio station in Houston, Houston public media, and I loved every second of it. I would beg reporters to let me carry their kits so we could go out on stories. I got to report a couple of my own stories as well. And the general manager at Houston public media told me, hey, there’s this fellowship for recent graduates at NPR at the national level, I think you should go for it, and we’ll make sure to recommend you. And so I applied. I applied in December. I got the call in April that I was one of ten finalists. And we all went to NPR from all over the country. So after I did a yearlong fellowship at NPR, which was really, it was kind of my Graduate School. It was kind of my journalism school. I went to New York to work on a national show with my Idol, Maria Hinojosa. The show is called Latino USA and I was a producer and Reporter there. So after I left KUT to be a Reporter, I did it for about 10 months and it was going really well. And then Steve Henn, that Reporter that senior Reporter that I had met at this training, called me to say that he was starting his own company, and by then I was thinking of starting my own production company in Austin. And he said, well, why don’t you come help me start my company? It’s a personalized radio company. I want you to be the founding producer so you know he sold me on the idea. The company was called 60dB and it was a personalized radio app where you would get an onboarding where you got to say you know who are your favorite radio broadcasters. What are your favorite topics? And then you would get a playlist of short stories. So not podcasts length. You would get like the NPR newscasts and then you would get what we would call traditional news magazine packages. So stories that are from 2 to 7 minutes long and you would get a long playlist of those. And then if you want it you could do like a podcast at the end of that experience, and then when I was at 60dB at this personalized radio company where I was filing stories. You know every day we had this platform and it actually inspired the Google Podcast Manager Platform. But more on that later. So we had this platform where I could see a graph. And see where my listeners had dropped off and skipped the story that I was telling. So I could see bad tape. I could see when I wrote something badly when something wasn’t clear I could see a dip in that graph and through filing stories every day and then looking at the audience retention graph I was able to improve dramatically as a storyteller, like for example, my completion rates, my average completion rates were like at 80%, and I wanted them to be higher and Steve, my editor told me, hey, like, why don’t you try this breathing technique that I learned back in the day? I think it might really help you. So I was like OK, I’ll try it for a week. I did that in every single story an my completion rates shot up by 7 percentage points. So I was really able to AB test my stories, be able to use that editorial muscle, but then also combine it with data analysis to improve as a storyteller, and there’s a through line between that and the work that I do at Google because that company, as you may know, spoiler that company got acquired by Google in 2017 and we became a part of the Google Podcasts family, and so many of the product’s that we made now sort of influence the things that we do at Google and I’m able to use that same data analysis with editorial content insights to help partners on our platforms reach their audiences in in better ways. ES: You are talking about very interesting points about leveraging technology, data science, data driven decisions in journalism, to craft stories, to evaluate how your stories are being listened. Another thing I saw that you worked on was crowd sourcing through social media stories. Can you explain the idea behind crowd sourcing stories via social media? BS: Yeah, absolutely. So this is more popular now than it used to be. But back in the day when Twitter and Facebook were new, journalists would mostly used those social media platforms to promote their own stories. So you would see a lot of tweets from journalists saying hey, I just filed this story, check it out, and then people would retweet or comment or whatever. And so it was very much an afterthought, and I started particularly at Latino USA when we had this very strong brand. This very strong platform figuring out that we could actually use social media in the reporting process to find sources and find stories and have that conversation. Not just be omni directional right? Not just be hey, here’s this voice on the radio telling you a story, but actually we’re real people and you can tell us stories and maybe they’ll make it on to the show. Or maybe they’ll just influence our decision making. And so I started Latina USA being in charge of the social media there and thinking of it, not just as an afterthought to promote our work, but actually to build a community that helped us source information and now that’s becoming a lot more popular throughout digital media, I would say, but particularly in the audio space, there are a lot of podcasts who have voicemail setup. You know where you can call a Google. It’s usually Google number, but we can call a phone number. And leave a voicemail, leave a story, and sometimes those stories make it into your favorite podcasts and being able to influence a content maker directly like that really helps you feel like you’re in a community of people who understand you and who see the world in a similar way than you do, and I think that’s really powerful. I think the best podcasts create these worlds around them that really help people feel like they found a spiritual home. ES: Earlier you were talking about working in freelance for some time, then later working on this company 60dB, which eventually got acquired by Google an A lot of it became part of the Google Podcast Manager Program. Can you talk about this platform? BS: Yeah, so Google thinks of audio in a really comprehensive way and it’s kind of different than other tech companies that are experimenting in the audio space. So let me explain it to you this way. The way that podcasts are distributed you know this, but maybe your listeners not all your listeners do is through a standard called an RSS or Real Simple standard. So it’s basically like a really ugly looking script on the back end and it’s open so that different, we call them podcatchers, but different podcast apps crawl all the RSS feeds and then index them, right? So you know, there’s a bunch of different podcast apps you know, and Google podcasts is a pod catcher. In that way we crawl RSS feeds that unless they’re blocked, we surface them on our platform. It used to be that within an RSS feed, you know, it has all this information. It has meta tags, it has title, it has an image, and there’s always an MP3 file. And that’s the audio file that gets distributed. Well, it used to be that a company like Google had no way of knowing what was in that MP3 file. It was virtually a black box, so the only way we had of organizing that information was through the meta tags. You’d say: this is a comedy podcast. This is a religion podcast. This is a sports podcast. Because of AI because of machine learning, automatic transcription software has gotten so good and so cheap that a company with the computing power that Google has can use that automatic transcript to figure out what exactly is being said in that MP3, an index it. The way that we would index a web page on Google search or a news article on Google News. So we’re using that automatic transcript that happens almost instantly. ES: And this transcript, like you’re saying, they’re mostly used to get more insight into what people are talking about in the podcast. The transcript itself is not published, right? BS: No. You can kind of see the transcript if you are YouTube user and you turn on captions, you can get a transcript of those captions on YouTube. But on the podcast, honestly, the transcripts are pretty messy. They’re not super readable, they make mistakes. You know if you say things with a certain accent, it might not catch it. But what it is really good at is in what we call entity detection, so it knows what Kardashian you’re talking about. It knows what sports event you’re talking about, and that helps us match like with like and see how different entities how different you know nouns are related to each other. In this web of worldwide information. ES: Exactly, I don’t know how it happens behind the scenes, but I could see how you are transcribing words with machine learning, and I’m guessing there’s probably like a probability of how confident the system is that certain word was said . And then based on that we get more insight into the content than just metadata that people manually put, so I think it’s really good. BS: Correct, so it’s exactly it’s the same technology that Google News uses to index information. It’s the same, but there’s this added step where we go from the MP3 file to this transcript that almost acts like a dummy web page on our back end and then that is what’s indexed on our internal infrastructure so that we can really understand what is being said and you can see this in Google podcasts, but you can also see it in another product that we have called Your News Update. So Your News Update is the evolution of 60dB, that company that we had that got acquired so it’s a short form playlist of news that’s personalized to you, mostly on your location and some of your interests so you know, Google probably knows what sports teams you like, ’cause you look up the scores constantly. Things like that. So in this product, the way that you access it, anyone can access it. You tell the Google assistant play me the news and you can do that even on an iPhone if you download the Google Assistant app, I think it’s pretty cool. It’s a different way to get the news. It doesn’t sound quite as like cohesive as if you were listening to the radio because you’re getting news from all different sources, but you might be surprised what you get to listen to. ES: So you were just talking about using AI to transcribe podcasts to have a better idea of what they’re talking about. Earlier you also talked about this company 60dB where you’re getting more insights on how your story is doing in terms of listenership where they’re dropping off. Potentially brainstorm why that might be and make improvements. Are there other examples of useful analytics that can help drive future story development? BS: Yeah, so if you have a podcast you automatically have access to a product called Google Podcast Manager, so it’s kind of similar. If you ever go to Google Maps and you look at an address and it says claim this business, have you ever seen that on Google Maps? It’s the same thing, but you can claim your RSS feed using the same email that you have to that you use to set up your RSS feed on whatever hosting provider so you can claim your RSS feed on Google podcasts and automatically get 30 days of data on how listeners engage with your content. So it tells you where they listening on a Google Nest at Google Smart Speaker. Or were they listening to it on a mobile device and that kind of information I think is really useful, but for me the most useful thing is getting that second by second drop off rate and Aggregated Drop off rate so you can see you know did I have a good introduction or maybe the story was too long and people only listen to half of it and you can use those analytics to tell better stories so? I really think as a storyteller you should be able to make interesting content about whatever story topic you’re interested in, because there’s a reason why you are interested in it and it’s just about communicating to your listener that passion. ES: At the beginning you touched a bit on having diverse voices on radio. I could definitely relate to that. I’m also a Latina and even I hesitated launching this podcast because I thought my accent had to be perfect, like the people on TV that I had. It’s always this, I think certain type of American English that I had seen in the media in the US, I hadn’t been exposed to more Latino voices. Can you talk about how this is changi…

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    Technology Journalism (Kara Swisher) Jul 21, 2020
    Show notes

    https://media.blubrry.com/thewomenintechshow/wintshow.files.wordpress.com/2020/07/s1e6-kara-swisher.mp3 Subscribe: Apple Podcasts | Spotify | Android Technology has a big impact in our society. Some examples from the last decades are, the internet, personal computers, smart phones, and social media. Kara Swisher, a Technology Journalist, has been covering tech since the 1990s. We talked about what the panorama was like when she was first starting out as a reporter back then in Silicon Valley. We also talked about the impact of technology in journalism. Kara also talked about the lack of underrepresented folks in tech, and observations she’s made throughout her career. Kara Swisher Transcript [00:00:00] ES: I’m Edaena Salinas, Software Engineer and host of The Women in Tech Show a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show go to wit.fm. Technology has a big impact in our society. Some examples from the last decades are, the internet, personal computers, smart phones, and social media. Kara Swisher, a Technology Journalist, has been covering tech since the 1990s. We talked about what the panorama was like when she was first starting out as a reporter back then in Silicon Valley. We also talked about the impact of technology in journalism. Kara also talked about the lack of underrepresented folks in tech, and observations she’s made throughout her career. Before we move on with the interview. I’m really excited to announce that season 1 of the 5 minute mentor podcast is available. This is a podcast where you’ll get advice from prominent people in tech, authors, journalists, artists and more. Go to mentors.fm for more information about the show. Thank you. Kara, welcome to the women in tech show. [00:01:140] KS: Thank you. [00:01:14] ES: You’re a technology journalist. You’ve been covering tech since the mid 90s. throughout your career, you’ve interviewed top technology executives, how do you prepare for these interviews? [00:01:26] KS: Well, you know, I’ve been covering them for a long time. So I know a lot. I don’t spend hours and hours preparing because I’ve been covering them for 20 years. And so you know, I keep up on the news, I do a lot of reporting, I tend to know a lot of them pretty well. And I’m pretty up to speed on the stuff they say publicly and what I know to be true privately. And so, you know, it’s been an ongoing education for me for that many years. And so it’s a little probably easier for me than others because I sort of anticipate what they’re going to say and I try to sort of get them to tell the truth about what’s really going on. [00:01:57] ES: What motivates you to do the kind of work that you do? I know you’ve been doing it for over 20 years. [00:02:03] KS: You know, I just really think technology is when the most important force in the world. The top, the wealthiest, most powerful people in this world are now technology people, for the most part it used to be oil or other businesses that we’re sort of at the forefront right now, technology is one of the most critical parts of, of our world. I mean, right now, most of the tech companies are worth more than almost all the countries of the world, at least four fifths of the country, the world GDP is smaller than the value of some of these companies. And so, and they’re also accountable and elected for the most part. I just think it’s really interesting to write about the impact that technology has on the world right now, because it’s the most important force in the world right now. [00:02:42] ES: And you went through that shift of seeing it become powerful force and a lot of wealthy people are in this area, from the people that you’ve interviewed or previous investigations, was there something that you’ve considered particularly revealing? [00:02:57] KS: It depends on the person really depends on the time depends on the time period that I was covering. I mean, Microsoft, for example, has changed rather drastically from a very malevolent force in tech. And so a company that many people felt was dangerous to one that is quite doing a lot of good for the tech world and has a much better image than other companies. So it just changes over time. [00:03:20] ES: Looking back, do you have any, regrets or something that you wish you had us different in any of the interviews that you’ve done? [00:03:29] KS: I guess. It’s kind of a massive amount of people I’ve interviewed just even on my podcast, I’ve interviewed 600 people and before that, hundreds and hundreds and hundreds more. So you know, I think I’ve pretty much one of the hallmarks that I have is I do ask people the questions I want to know and I don’t feel regretful from doing that. [00:03:47] ES: Since you were covering tech very early on, and you got to talk to a lot of people that were running companies that were pretty small at the time that now became pretty big like Amazon and Yahoo. And at that time some people were skeptical about what they were building? Do you remember what it was like or what you were thinking at the time when you’re covering this emerging game changing technologies? [00:04:13] KS: Well, you know, I always thought they were going to be big. I think the reason I started covering them was because I really felt like they were going to be massive the whole time. And so I always thought that this technique was sort of like the beginning of radio or the beginning of television or the advent of electricity. I always thought this was going to be big. And so even though they were small companies at the time, I really did. I think I understood probably more than others, how big these companies were going to be. So I think I really did always have a sense of what was going to happen. [00:04:43] ES: One of the things, characteristic of the tech industry is the lack of underrepresented people, is this something that stood out to you since the beginning when you were covering this? [00:04:54] KS: Well, I’ve been writing about that issue for a long time. Its lack of diversity, lack of women, people of color, Different people, it’s sort of a monolithic, tech is largely white male controlled and operated for a long time. And while there are other people in it, the leaders, the owners, the the money is all, it’s all the same group of people. And so I’ve always said, this is a problem, because any homogeneous society has, you know, problems of bad teeth or whatever, you know, genetically, you don’t want to have a homogeneous society. And so I’ve always felt like the lack of diversity has been a real lot of the problems of tech are relate directly to the fact that it’s homogeneous. And so I’ve talked a lot about that is a lack of representation on the board’s lack of representation. It’s in the top parts of the company, and things like that. And so I think it’s critically important, you know, especially as we move forward, that we have much more representation of different people. And I’m not just talking about women or people of color, I’m talking about age, economic background, political background, and I think it’s very important to have diversity because it leads to better products at the Two products that are more considered in. So I think that’s really important. [00:06:03] ES: In 2018, you said that you hadn’t seen much change in this area. And in your opinion, it wasn’t really a priority for the industry. Do you think that has changed in the last two years? [00:06:16] KS: I do not. I think it still remains the same homogeneous society. I think it’s absolutely the same. And I think there’s still not enough women in power that some people color and power, there’s still not enough women, people of color on the cap table. It’s just it continues to be the same old, same old. [00:06:31] ES: Do you have any particular recommendations on how this could be like something that you wish they would do? [00:06:40] KS: Well, no, they should hire more women, they should hire more people of color. I mean, they seem resistant to the idea of doing it and they don’t seem to want to do it. I think the way I do it is I do it from my perch where I say have you noticed that 70% of the management is men, white men, very few Asian few Asian men, there’s fewer Indian. I try really hard to point out the what is the obvious for most people’s point of view, which is that it’s just simply not diverse enough that leads to problems. I really do believe the issues are around any of the social networks is because the people in power have never experienced what others experience. And I think they’re not as aware as they can be. And they can’t be as empathetic as they can be. [00:07:22] ES: Are you optimistic about this? [00:07:20] KS: No, I don’t know. They can only change it if they change it. And there’s no reason for them to change it right now. They don’t have any impetus. But if you look at the top echelons of all these tech companies, it’s virtually the same person, or very similar people. [00:07:37] ES: Technology, in particular, the internet, which is something that you started covering early on, has changed journalism significantly. One of the big shifts was going from print to digital, but there have been other changes in this area. Can you talk about some of the ways in which technology has impacted journalism, from your experience? [00:07:58] KS: Well, I mean, everything’s going Digital and you know, from everything from the business plan, the advertising business has sort of fallen out the bottom of it and they make less money. The distribution platforms have changed how people get their news, they get them from Facebook. And Facebook is an enormous distributor of news. They don’t take any responsibility for that news that they distribute, you know, every aspect. You know, the way people report how quickly the report the use of Twitter, every single aspect of journalism has changed dramatically in the good parts, that it’s more accessible than ever at the bad parts. It’s more accessible than ever, which means any liar can get on there and put out false information. [00:08:36] ES: Yes, and this is something I’ve been talking to recently with a lot of local journalists here in San Francisco, where they’re saying the ads model that has sustained journalism for over 200 years is dying. [00:08:47] KS: The model for journalism has changed over a lot of time. I mean, the big advertising plays were like that before. They’re very different, how they used to get money by subscription, and then it was by advertising and then back to subscription, but there’s always been, you know, journalism has been a difficult profession no matter what song but right now, what’s happening are these massive structural changes around the business model of the distribution model that are very hard to combat at once. And journalists don’t have the technological background to compete in that regard. [00:09:14] ES: What do you think can be done to help this though? [00:09:17] KS: Well, I don’t know. Much can be it’s like small businesses right now. But in the pandemic, it’s really hard. I mean, how do you compete with these massive platforms, you can’t create your own platform, you’re all in different places, look at local news, they can’t compete by themselves. You can’t mount a technological challenge to bigger sites, you know, I think you have to get smaller, it’s going to contract and then you have the issue of not not enough journalists covering some very serious issues now that now To be honest, a lot of previous journalism had a lot of sloppiness to it. And a lot of like, not all of it was good. But the fact matter is, there could be a lot of more people thriving in the old system than the new one. [00:09:54] ES: So you’re mentioning some of the journalism wasn’t very good? [00:09:57] KS: Well, I just saying there’s sort of a romantic idea that every was so good, there was a lot of sort of mediocre journalism done for a long time, you know, that just wasn’t challenging. And there’s a lot more really great investigative stuff going on now, but it’s still the challenge that the business model and the distribution model faces makes it very hard for even the very best to compete. [00:10:19] ES: One thing I saw in your ethics statement is that you say the following, and I’m just gonna start quoting: “Honoring a long term commitment to high standards of journalism is key to the success of my work”. In your opinion, what are some of the characteristics to high standards of journalism? [00:10:360] KS: Well, I’d say fairness, accuracy, I think point of view is all right to have come to a conclusion. I don’t a lot of people just don’t think this but I do. I think as a journalist, you can say, you know, just like President Trump last night saying he was taking hydroxychloroquine you can say this is bad. And here’s the reporting on it. Like before, you’d say here’s the reporting on it, and you wouldn’t make a conclusion. today. I think it’s very fair and important. To listeners or readers or whatever audience you have to say, This is nuts what he’s doing right. So it’s okay to base analysis on good reporting, and come to a conclusion. I think that’s something I’ve been doing for a long time. So I think it’s really important to shoot to the basic tenets, which is Fairness and Accuracy but not shy away from having a point of view. I’m not calling it opinion because opinions not necessarily based on fact, but having a point of view based on factual reporting. [00:11:26] ES: One last thing that I like asking us on the show at the end is, if they have any advice for young professionals, their advice can be you know about anything you see for your career, or just general life advice that you would like to say, [00:11:40] KS: Oh, well, I have a lot of advice. I have a lot of children. So I always tell them my life advice. I think it’s really important to not be frightened, so easy right now in the pandemic to be frightened about your future and things aren’t going to turn out isn’t that there’s always a chance to single person can make a great deal of change and you yourself as a younger person in an early in a career can make Take a lot more risks than you do I find too many young people are risk averse, or they’re worried about what comes next. They’ve spent their whole life on the wheeled dribble wheel of achievement, and they don’t realize they can step off at any time and find new things that might risk failure. And I think that’s all right. And I don’t think we teach our kids enough about that the idea of risking things and trying new ideas and trusting your instincts. I think we keep them often too much on the same pathway. And I think there’s a quote, he says, paths are made by walking, which means just walk in the direction you want to walk, and you will find your path. And I think that’s the most important thing is giving people permission to say no to things and I don’t think enough people say no, I say no all the time. So I’m used to ‘No’, but I think it’s really important to be able to not be quite as inflexible in your career, especially at the earliest part. [00:12:48] ES: Well, Kara, thank you for coming on the show. It’s been great having you. [00:12:52] KS: Thank you. @techwomenshow Sponsors

    Full show notes at the publisher

    Abie Award Series: Cyber Crime (Laura Mather) Jul 15, 2020
    Show notes

    https://media.blubrry.com/thewomenintechshow/wintshow.files.wordpress.com/2020/07/s1e5-laura-mather.mp3 Subscribe: Apple Podcasts | Spotify | Android Fighting cyber criminals is a challenging task. Laura Mather, Cyber Security expert, talked about her time at eBay fighting cyber criminals in the early 2000s. Laura explained different attacks that she saw and how these were being tackled back then. We also talked about Silver Tail Systems, a company she co-founded in 2008 to build systems that other companies could use to fight cyber criminals. Laura also explained the challenges of getting funding and how the panorama is changing for entrepreneurs. In 2017 Laura was the recipient of the Abie award for technology entrepreneurship. Abie Awards are presented by AnitaB.org, a global nonprofit with a goal of reaching 50/50 gender equity in tech by 2025. Abie awards honor and celebrate women who have led technical innovations and made a notable impact on business or society through technology. This episode is part of a series of show that highlight the work of previous Abie Award Winners. Laura Mather @techwomenshow Transcript ES 0:00[00:00:00] ES: I’m Edaena Salinas, software engineer and host of the women in tech show, a podcast about what we work on, not what it feels like to be a woman in tech. For more information about the show go to wit.fm Fighting cyber criminals is a challenging task. Laura Mather, cyber security expert, talked about her time at eBay fighting cyber criminals in the early 2000s. Laura explained different attacks that she saw and how these were being tackled back then. We also talked about Silver Tail Systems, a company she co-founded in 2008 to build systems that other companies could use to fight cyber criminals. Laura also explained the challenges of getting funding and how the panorama is changing for entrepreneurs. I want to point out that this interview was recorded at the end of April and a lot has changed since then. We started to see more conversations about funding to underrepresented group. I followed up with Laura about this, and I included her latest thoughts at the end of the show, when we discuss this topic. In 2017 Laura was the recipient of the Abie award for technology entrepreneurship. Abie Awards are presented by AnitaB.org, a global nonprofit with a goal of reaching 50/50 gender equity in tech by 2025.. Abie awards honor and celebrate women who have led technical innovations and made a notable impact on business or society through technology. This episode is part of a series of show that highlight the work of previous Abie Award Winners. Before we move on with the interview. I’m really excited to announce that season 1 of the 5 minute mentor podcast is available. This is a podcast where you’ll get advice from prominent people in tech, authors, journalists, artists and more. Go to mentors.fm for more information about the show. Thank you. Laura Mather, welcome to the women in tech show. [00:02:03] LM: Thank you for having me. [00:02:04] ES: Today we’re going to talk about cybersecurity a lot, which is an area that you’ve worked on since you were early in your career. First, I want to begin with the panorama at the time you finished school. You completed a PhD in Computer Science in 1998 at the University of Colorado, can you talk about what it was like coming out of school into the tech industry back then? [00:02:29] LM: Sure. I started my career at the National Security Agency, which was fairly interesting. I’ll be honest, though, all of the really hot topics were being worked on in places like Silicon Valley. So there I was in DC and doing interesting work. I liked feeling like I was helping the government and helping our country. But I was super envious of the folks who were on the west coast. I felt like they had the most interesting problems to tackle that their work had a lot of impact. So that was a way to start my career that felt like I wasn’t really starting that I was just kind of getting my feet wet in an area that I had some interest in, but not a ton of interest. And mostly I was looking west and feeling very envious of the folks that were on the west coast. [00:03:27] ES: So you’re mentioning you’re in DC working at the NSA. And then after that you moved to work at Encyclopedia Britannica, right? [00:03:36] LM: I did. Yeah. I actually interviewed for a bunch of jobs in Silicon Valley. One of them was at a company called Infoseek, which was a precursor to Google. This was 1999. Google wasn’t around yet. And I interviewed for the position of Infoseek. I interviewed with Britannica for a position there, so I was definitely exploring my options at the time. [00:04:02] ES: Can you give some context around Britannica and what people were doing at the time? This is early 2000s, right? [00:04:11] LM: Yeah. I think my first day was January 6 of 2000. A lifetime ago. I was working for britannica.com. Britannica had started their online presence a couple of years earlier, but really wanted to understand the users of their website at britannica.com. My job was to delve into the data, look at how people were clicking through the websites, what queries they were doing, what results they would get from those queries, whether or not they would stick around whether or not they would pay us and try and really get an understanding of that kind of trend data. It was essentially web trends for the Britannica website. Web trends had just gotten started right around 2000. I didn’t even know about them when Britannica hired me. So I built a very rudimentary version of web trends for britannica.com. [00:05:15] ES: After that is when you started really diving into cyber security at eBay in specific, and I’ve heard you mentioned in the past that somehow they put together NSA and your online experience at Britannica, and it seemed like a perfect fit for cyber security. Can you talk a bit about this? [00:05:37] LM: Yeah, eBay was getting targeted by cyber criminals at the time. Prior to eBay, the cyber criminals had really focused on AOL if anyone listening to this remembers a company called AOL. They were the main focus of the cyber criminals until eBay came along and then the criminals saw a real treasure trove of opportunity to steal money from people using the eBay platform. Now the executives at eBay, realized that this activity was new. No one had done this before. No one had used a website to steal money from people. And because of that, they didn’t know who to hire to go after these folks. They wanted to hire law enforcement. But when you talk to people in law enforcement, especially in 2003, those people had no experience with online. You talked to people who worked online, those people had no experience dealing with criminals. And the poor executives at eBay, were tearing their hair out saying who do we hire to do this? The fact that I had experience with the National Security Agency, so I had some experience understanding the way people think when they’re trying to evade others etc. And then I had done this work for britannica.com essentially trying to understand you behavior on the britannica.com sites that look like about as close as they were going to get to someone who could possibly look at this problem with, you know, a little bit of experience. And so the fact that if I were to map out my whole career from PhD to NSA to Britannica, it looks like this jagged line, and yet that jagged line fit exactly into what eBay wanted, which was fortuitous for me for sure. [00:07:29] ES: Exactly. And once you join eBay, and you start figuring out how to tackle this online criminals, and there are all these attacks coming, can you give some examples of the kinds of attacks that we’re seeing? [00:07:44] LM: Yeah, the eBay platform, unfortunately, made it so that cyber criminals could find ways to steal money from people. The biggest attack vector we like to call it was what we call second Chance offers and there literally are things on the eBay platform called the second chance offer. But what the criminals love to do is they love to see that an auction happened for usually a fairly high priced item, something around the 1000 to $2,000 price range. And they would look at the bidders because eBay was very transparent. They wanted all the bidders to see who else had bid and how much to make sure that people trusted that it was real people bidding that they were, you know, in the midst of a legitimate auction. The criminals would then look at the person who didn’t win the auction but had the second highest bid. And their whole goal was to get that person’s email address, reach out to them and say, Hey, I noticed that you bid 1800 dollars on a Rolex, guess what I have that exact same Rolex and all that. I’ll give it to you for 1500 dollars. Now granted, they didn’t have the Rolex. The other part of the eBay platform that was not ideal for protecting our users was that when someone purchase something, the winner of the auction would send the money to the seller, and when the seller received the money, then they would send the item so if you’re a criminal, you could say to someone I have that Rolex just send me 1500 dollars and as soon as I receive your money, I’ll send you the Rolex. Now an unwary, or sorry, uneducated or unaware eBay user might get very excited about this. I’m gonna get that watch. I want it and it’s only 1500 dollars. They send the 1500 dollars and guess what they never hear from the other person again, the suppose it seller. So it was my job to prevent that type of criminal activity and I’ll say that it was not at all an easy job. The criminals were tenacious, the criminals didn’t have to QA the stuff that they built. They could launch any tool that they wanted into cyberspace immediately. And they would find very creative ways to try and steal money from eBay users. [00:10:23] ES: And during this time, were you trying to generalize a system or a way in which you could prevent this attack? Or was it mostly on the go like, you see this attack, and then you try to craft a solution for it? [00:10:36] LM: In the beginning, it was very much on the go, you know, we’re seeing this functionality on the website being used to target eBay users. We’re going to fix that and then the criminals would always respond after I was only there three years, but after maybe a year and a half, we started to get a little bit smarter about should we think about how if we shut off this attack vector, where are they going to go next? And how do we prevent that? And in fact, by the time I left, we tried to be much smarter and say, if they’re gonna go anywhere, we actually would really like it. If they went over here, maybe because there’s not very many users there. And we could let those users know or maybe because the users on this other functionality are much more savvy about these criminals right there, we would think about that. And we would try to actually push the criminals because we knew they weren’t just gonna walk away and be done. But if we could try and encourage them to go to a place where either we already knew is protected, or maybe was much less damaging for eBay users. We tried to even get that sophisticated about how we responded to them. [00:11:51] ES: And I’ve heard you mentioned in other talks that toward the end, it was so much work you you kind of were overworked, right and then you left? [00:12:00] LM: Absolutely, I mean, there’s a really challenging mindset in security, which is again, the, the criminals are never going to give up. There was a tough situation personally, where I would be sitting at work, and it would be 7:30 at night. And I would think to myself, I could write up this next business requirements document to try and prevent the, you know, this horrible thing that is happening to eBay users. And I can stay for two more hours to do that. Or I could go home and let this horrible thing happen to eBay users for an extra day. And that can be a very draining decision making process, especially day after day after day. And then finally to eBay as any business does had to prioritize. Are they going to put resources towards security and protecting users or are they gonna put resources towards new users and new functionality. And I think it we had also gotten pretty good at our jobs. And so the losses due to security had gone down quite a bit. And that made the business think maybe we don’t need to invest in this thing called security because that seems to be going okay. For now, anyone who’s actually in security will recognize that that usually means you’re about to have a spike in some kind of incident because the minute you stop investing, the criminals know it, and they go after you. But it can be very hard, as a security professional to have the business tell you what you’re doing is not super important. So we’re not investing in that. Thank you very much for what you have done though. [00:13:45] ES: Exactly. And one thing I like from your trajectory is that you were overworked and then you leave. But you’re still thinking about this space, and In 2008, you co founded Silver Tail Systems, where you are bringing a lot of your experience from your days at eBay fighting cyber criminals. And at this moment, you are taking a step back to think about systems that you would need to fight attacks at eBay and how other companies online could potentially use these tools. Can you describe some of the main ideas behind the system and this company? [00:14:27] LM: Yeah, absolutely. I noticed two things after I had stepped back from eBay for a few months. The first thing that I noticed was the attacks we saw to eBay. We’re starting to target other companies and that has something to do with how well we did at eBay. The criminals are happy to go after the weakest link. And if there is a strong defense in one part of the internet, they’re happy to go find a place that does not have quite as strong a defense, that’s actually a good return on investment for their time. And so stepping back from eBay, I went to work for a company called MarkMonitor. And MarkMonitor protected many different companies from something called phishing. And because I got to talk to all these companies, whether it was banks or e commerce companies, and it definitely was not at the level we were seeing at eBay, but I start to hear some of the same stories that I had heard from eBay users of, “hey, you know, I’m at this bank, and we’ve got this weird thing happening where you know, our forgot my password functions, getting a lot of traffic”. And that’s not what we would expect and, you know, just different stories like that. And I realized, wow, criminals are really diversifying, and they’re going after any place where they can make some money. So that was one realization I had. Once I realized that the key was to start thinking about if I can do eBay all over again? What type of system would I build? Because I had three years of headache and different obstacles that I had to overcome and why not build it the way I wished it had, it would have ended up but start from that place. And what we realized when we built the system for Silver Tail was that you need something very flexible, that is monitoring things in real time that is giving alerts in real time. And that can also respond essentially, within minutes at the most, maybe even seconds. Because again, these criminals are constantly revising their attacks, constantly looking for new ways to deal with this, constantly looking for new ways to steal money. And if we could build a system that could be as agile as the criminals, that’s it What you want to arm our customers with at silver tail? And so that was what we built. [00:17:05] ES: So you found that in terms of the system components, the ability to monitor in real time and was it to update things quickly is what helped be on par with criminals? [00:17:19] LM: Absolutely. So to know, wi…

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