Organizers

Yuanxi Fu is a PhD student in the School of Information Sciences at the University of Illinois at Urbana-Champaign. She received her MS in bioinformatics (2021) and PhD in chemistry (2015) from the University of Illinois at Urbana-Champaign and BS in chemistry from Nanjing University in China (2008). Her research interest is reasoning and argumentation in science. She is currently working on her dissertation titled “Unreliablity Propagation in Science: Conceptual Foundations and Mitigation Measures.”

Dr. Rodrigo Dorantes-Gilardi is a Associate Research Scientist and part-time Lecturer at Northeastern University. His research at NetSI centers on Network Science with applications in biology and the science of science. He currently work in the team of Albert-László Barabási, where they study the impact of biotechnology in science and innovation. Using computational methods, his work involves studying the factors that influence impact & recognition in creative fields.

Dr. Sarah Bratt is an Assistant Professor at the University of Arizona College of Information Science (iSchool). Her research lies in scientific collaboration networks in biomedicine and social science data repositories (e.g. ICPSR), published in venues including Quantitative Science Studies, Journal of Informetrics, and Scientometrics. Dr. Bratt holds a Ph.D in Information Science and Techology and an M.S. in Library and Information Science from Syracuse University and served as a Research Fellow at the Laboratory of Innovation Science at Harvard (LISH) and Teaching Fellow at the iSchool Inclusion Institute (i3).

Dr. Akrati Saxena is an Assistant Professor at the Computer Science and AI department of the Faculty of Science at Leiden University. Her research interests include Social Network Analysis, Complex Networks, Computational Social Science, Data Science, and Fairness. Her current research is focused on understanding inequalities in complex networks and algorithmic fairness in network and data science. She is interested in understanding and modeling the impact of affirmative actions and international policies on the collaboration network.