In this episode, (26 min. long) we talk with Jaime Teevan, chief scientist for Microsoft’s Experiences and Devices, where she’s charged with creating the future of productivity. She also developed the first personalized search algorithm used by Bing and introduced microproductivity into Microsoft Office. 

This conversation centers around a report by Jaime Teevan and her colleagues at Microsoft, which is what they believe to be the world’s largest synthesis of findings related to how people’s work practices have evolved since the start of the pandemic. She gives insights into our “New Normal” — and what our “Next Normal” may look like, too.  And she tells us how web science has informed this research. Most of us have felt the effects of the pandemic on the way we work, but Jaime breaks down why. To hear all this and more, listen to this episode.

Click here for this episode’s transcript, and click here for this episode’s show notes.

For this episode, (29 min. long) we talk with Danny Weitzner, a proud founding member of the Web Science Trust who will be a keynote speaker at the upcoming 2021 ACM Web Science virtual conference. He’s a 3Com Founders Principal Research Scientist at MIT Computer Science and Artificial Intelligence Laboratory and also the founding director of the MIT Internet Policy Research Initiative. His research interests include accountable systems, privacy, cybersecurity and online freedom of expression.

During this conversation, Danny takes us back to the start of web science and explores challenges that are both old — but still relevant— and new. He talks specifically about what approaches we can take to address privacy on the web. For example, you may have heard of the panopticon, but do you know what countervailance means? Do you know why accountability is so important to privacy? Danny can explain. Most of all, he points out how crucial web science is to solving these problems. To hear about all this and more, listen to the full episode!

Click here for this episode’s transcript, and click here for this episode’s show notes.

Ravindran (Ravi) Balaraman is our guest for this episode (23 min. long). He is the Mindtree faculty fellow and a professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Madras. And he also heads the Robert Bosch Centre for Data Science and Artificial Intelligence at IIT Madras, which is the leading interdisciplinary AI research center in India and India’s first lab to join the Web Science Trust Network of laboratories from around the world. His research is pushing the boundaries of reinforcement learning, social network analysis, and data text mining. 

In this episode, Ravi explains the unique challenges that India faces in web science, including how displaced migrants feeling alienated from the Web. He also explains some solutions, like increasing access to devices with local languages programmed in. And Ravi talks about the importance of AI and how that can help or hurt in pursuits of different social goods, as well as just how explainable AI could get. To hear about all this and more, listen to the full episode!

Click here for this episode’s transcript, and click here for this episode’s show notes.

Our guest for this episode (28 min. long) is Eszter Hargittai, who is a professor and holds the chair of the Internet Use and Society in the Department of Communication and Media Research at the University of Zurich,  where she also heads the Web Use project research group. She’s also one of the most cited web science researchers in the world. Her research focuses on the social and policy implications of digital media, especially how differences in people’s web skills and digital literacy influence what they do online. 

During this conversation, Eszter gets into why she wishes people would use the term “digital inequality” more, as well as how it means something different than “digital divide.” She describes her research on how people’s web skills vary, including her findings dealing with disability status and age. Eszter also discusses why she feels it’s important to explore the challenges of studying web science, as well as have people shared how they overcome those difficulties, a topic on which she has (co-)edited three books. Plus, she shares a peek into what she’s writing right now: a book about web use and COVID-19, which is based on a large data collection effort across three countries that she and her team completed in last April. To hear about about all this and more, listen to the episode!

Click here for this episode’s transcript, and click here for this episode’s show notes.

Our guest for this episode (29 min. long) is Deen Freelon, an associate professor in the School of Media and Journalism at the University of North Carolina in Chapel Hill.  His research ranges from political expression through digital media to data science to computational methods. He has also served as principal investigator on grants from the Knight Foundation, the Spencer Foundation and the US Institute of Peace. Not only does Deen make intellectual contributions to the fields of web science, communication studies, and more, but he also focuses on engaging and helping the general public with his insights.

In this conversation, Deen tells us why it is so important to incorporate identity into web science research, and how that has influenced his own work. That includes his recent article on Black-presenting trolls, and why disaggregating ideology from race was crucial to his insights. Deen also discusses the difference between disinformation and misinformation, as well as why there needs to be more research into left-leaning disinformation. And he describes what tools he’s created to help other researchers as well as the general public — coming up are developments to his “filter map” project. To hear about about all this and more, listen to the episode!

Click here for this episode’s transcript, and click here for this episode’s show notes.