Responsible DS+AI Speaker Series: Ágnes Horvát

Ágnes Horvát is an assistant professor of Communication and Computer Science (by courtesy) at Northwestern University. Her research lies at the intersection of computational social science, social computing, and communication. Using interdisciplinary approaches and data science, her research group, the Lab on Innovation, Networks, and Knowledge (LINK), investigates how networks induce biased information production, sharing, and processing on digital platforms.

Papers and links:

Hao Peng, Daniel Romero and Emőke-Ágnes Horvát. Dynamics of cross-platform attention to retracted papers. Proceedings of the National Academy of Sciences, 119 (25) e2119086119, 2022

Orsolya Vásárhelyi, Igor Zakhlebin, Staša Milojević and Emőke-Ágnes Horvát. Gender inequities in the online dissemination of scholars’ work. Proceedings of the National Academy of Sciences, 118 (39) e2102945118, 2021 

In the Responsible Data Science and AI Speaker Series, we discuss topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays from 9:00-10:00 a.m. Central Time on Zoom. The event is open to the public, and everyone is welcome to attend! To join a session, go to the current week's session, click the "access" link, and then the "PARTICIPATE online" button. Recordings of past talks can be found next to "access" if available. This series is hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS). If you have any questions, please contact Jana Diesner.

If you are interested in this speaker series, please subscribe to the speaker series calendar: Google Calendar or Outlook Calendar.