Mobility network modeling explains socioeconomic and racial inequality in COVID infection rates and informs reopening strategies

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Emma Pierson

Microsoft Research

In this paper, we develop a model of COVID spread that uses dynamic mobility networks, derived from US cell phone data, to capture the hourly movements of millions of people from local neighborhoods (census block groups, or CBGs) to points of interest (POIs) such as restaurants, grocery stores, or religious establishments.

Digital Life Seminar | No. 5

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Serge Egelman

International Computer Science Institute | University of California, Berkeley

Serge Egelman is Research Director of the Usable Security & Privacy Group at the International Computer Science Institute (ICSI) and also holds an appointment in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley.

Digital Life Seminar | No. 6

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Lee McGuigan

Cornell Tech | Digital Life Initiative

Lee McGuigan is a Research Fellow at Cornell Tech’s Digital Life Initiative. He is interested in various entanglements of information, technology, markets, and culture. His ongoing work looks at knowledge infrastructures and logistical processes in advertising and media industries.

Digital Life Seminar | No. 7

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Joshua A. Tucker

New York University

Joshua A. Tucker is a Professor of Politics, an affiliated Professor of Russian and Slavic Studies, and an affiliated Professor of Data Science at New York University. He is also the Director of NYU’s Jordan Center for Advanced Study of Russia; a co-director of the NYU Center for Social Media and Politics (CSMaP), and the Social Media and Political Participation (SMaPP) lab; and a co-editor of the award winning politics and policy blog The Monkey Cage at The Washington Post.

The Platform Insurgency: Does Urban Tech Have an Ethics Problem?

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Joint seminar with the Urban Tech Hub & Digital Life Initiative

Cornell Tech

Much of urban tech exploits today’s most ethically-charged technologies and business practices—such as indiscriminate location tracking, facial recognition, and gig work to fundamentally reprogram how urban systems function. As these failures become clearer, and broader awareness of systemic injustice in society grows, how can the emerging field of urban tech clarify choices between right and wrong?

Digital Life Seminar | No. 9

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Congzheng Song

Cornell Tech

Congzheng Song is a Computer Science Ph.D candidate at Cornell University working with Prof. Vitaly Shmatikov. His research interests are in security and privacy in machine learning. His past works identified a range of privacy leakages, either intentionally or unintentionally, when training and deploying machine learning models computed on sensitive user data.

Digital Life Seminar | No. 10

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Samar Sabie

Cornell Tech

Samar Sabie is a fourth year Information Science PhD student at Cornell Tech minoring in Science and Technology Studies (STS). Given the conflictual nature of coexistence in multicultural societies, her dissertation investigates two questions.

Digital Life Seminar | No. 11

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Robin Berjon & Ido Sivan-Sevilla

New York Times | Cornell Tech

Robin Berjon is an expert in Web technology with almost two decades’ worth of experience in both Web development and driving standardisation efforts, notably within W3C. He is in charge of data governance at the New York Times. Ido Sivan-Sevilla is a political scientist and postdoctoral fellow at Cornell Tech’s Digital Life Initiative (DLI).