Sotabase

Career

· Assistant Professor, University of California, Berkeley2021–
· Junior Fellow, Harvard Society of Fellows2019–2021
· PhD in Computer Science, Cornell University2015–2019
· Master of Advanced Studies in Pure Mathematics (Part III of the Mathematical Tripos), University of Cambridge2014–2015
· Bachelor of Arts in Mathematics, Harvard University2009–
· Master of Science in Applied Mathematics, Harvard University

Publications (55)

Can cascades be predicted?
The Web Conference · 2014
849
cited
Simplicial closure and higher-order link prediction
Proceedings of the National Academy of Sciences of the United States of America · 2018
573
cited
Artificial Intelligence and Journalism
Journalism & Mass Communication Quarterly · 2019
246
cited
Roles for computing in social change
FAT* · 2019
236
cited
Breast Cancer Screening, Incidence, and Mortality Across US Counties.
JAMA Internal Medicine · 2015
189
cited
Fairness, Equality, and Power in Algorithmic Decision-Making
Conference on Fairness, Accountability and Transparency · 2021
166
cited
Systematic review and meta-analysis of depression, anxiety, and suicidal ideation among Ph.D. students
Scientific Reports · 2021
157
cited
Narratives and Counternarratives on Data Sharing in Africa
Conference on Fairness, Accountability and Transparency · 2021
97
cited
Long-Distance Spin-Spin Coupling via Floating Gates
Physical Review X · 2011
92
cited
Opinion Dynamics with Varying Susceptibility to Persuasion
Knowledge Discovery and Data Mining · 2018
92
cited
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Conference on Empirical Methods in Natural Language Processing · 2023
85
cited
Fair Division via Social Comparison
Adaptive Agents and Multi-Agent Systems · 2016
57
cited
Mechanism design for social good
SIGAI · 2018
56
cited
Difficult Lessons on Social Prediction from Wisconsin Public Schools
Conference on Fairness, Accountability and Transparency · 2023
39
cited
Using Search Queries to Understand Health Information Needs in Africa
International Conference on Web and Social Media · 2018
36
cited
Reimagining the machine learning life cycle to improve educational outcomes of students
Proceedings of the National Academy of Sciences of the United States of America · 2023
27
cited
Mitigating Overexposure in Viral Marketing
AAAI Conference on Artificial Intelligence · 2017
25
cited
Opinion Dynamics Optimization by Varying Susceptibility to Persuasion via Non-Convex Local Search
ACM Transactions on Knowledge Discovery from Data · 2021
22
cited
Subsidy Allocations in the Presence of Income Shocks
AAAI Conference on Artificial Intelligence · 2020
22
cited
A Truthful Cardinal Mechanism for One-Sided Matching
ACM-SIAM Symposium on Discrete Algorithms · 2019
20
cited
Sotabase
Rediet Abebe | Researcher Profile | Sotabase | Sotabase