Rediet Abebe, Jon Kleinberg, and S. Matthew Weinberg Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI '20). [PDF]
Maximilian Kasy and Rediet Abebe Workshop on Participatory Approaches to Machine Learning (ICML '20).
Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, and David Robinson Proc. of the Conference on Fairness, Accountability, and Transparency (FAT* '20); Preliminary version in the Privacy Law Scholars Conference (PLSC '19). [PDF]
Course: CMU AI & Society, U Washington Computing and the Developing World, UC Boulder Human Centered ML
Other Highlights: Library of Congress Report, Montreal AI Ethics Institute research highlight, Computer Science and Civil Society @ Stanford
Rediet Abebe, Richard Cole, Vasilis Gkatzelis, and Jason D. Hartline
Proc. of ACM-SIAM Symposium on Discrete Algorithms (SODA '20). [PDF]
Rediet Abebe, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou Remy, and Swathi Sadagopan ACM Collective Intelligence Conference (CI '20). Preliminary versions in Privacy Law Scholars Conference (PLSC '20); Contested Data Academic Workshop at Data and Society, 2020; 3rd Workshop on Machine Learning for Development (NeurIPS '19).
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, and H. Andrew Schwartz
Proc. of the International AAAI Conference on Web and Social Media (ICWSM '19). [PDF]
Preliminary version in the Workshop on ML for the Developing World (NeurIPS '17);
NBER Conference on Machine Learning in Health Care (NBER).
Media Coverage: Forbes, MIT Tech Review, VentureBeat, Search News, Cornell Research Feature, and Cornell Chronicle
Course: UC Berkeley Big Data and Development
Meredith Broussard, Nicholas Diakopoulos, Andrea L. Guzman, Rediet Abebe, Michel Dupagne, and Ching-Hua Chuan
Journalism & Mass Communication Quarterly (JMCQ). July 2019. [PDF]
Rediet Abebe and Kira Goldner
ACM SIGAI AI Matters. 4.3, October 2018. [PDF]
Media Coverage: Communications of the ACM and MIT Tech Review.
Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg
Proceedings of the National Academy of Sciences (PNAS). November 2018. [PDF]
Media Coverage: Futurity, Cornell Chronicle
Rediet Abebe, Jon Kleinberg, David Parkes, and Charalampos E. Tsourakakis
Proc. of the 24th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining (KDD '18). [PDF]
Rediet Abebe and Kira Goldner
ACM SIGecom Exchanges. 16.2, June 2018. [PDF]
Rediet Abebe, Lada Adamic, and Jon Kleinberg
Proc. of the 32nd AAAI Conference on Artificial Intelligence (AAAI '18). [PDF]
Proc. of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18). [PDF]
Rediet Abebe, Jon Kleinberg, and David Parkes
Proc. of the 16th Intl. Conference on Autonomous Agents and Multiagent Systems (AAMAS '17). [PDF]
Reading Courses: University of Toronto, Social and Economic Networks Reading Group, University of Waterloo, AI Multiagent Systems Group, IJCAI '19 Tutorial
Preliminary version in Electric Flows, Graph Laplacians, and Algorithms Workshop (ICERM '14).
Charles Harding, Francesco Pompei, Dmitriy Burminstrov, H. Gilbert Welch, Rediet Abebe, and Richard Wilson
JAMA Internal Medicine, Sept. 2015. [PDF]
Media Coverage: The Huffington Post, Vox, FiveThirtyEight, Forbes, U.S. News, The Washington Post, The New Yorker, NPR, L.A. Times, MinnPost, Medical News Today, Tech Times, Baltimore Sun, ... , and even the Onion! It was also ranked 79 on the Altmetric Top 100 Academic Articles of 2015. This rank measures research articles across numerous fields that have gotten the most attention in media forums and social networks.
Luka Trifunovic, Oliver Dial, Mircea Trif, James R Wootton, Rediet Abebe, Amir Yacoby, and Daniel Loss
Physical Review X, Jan. 2012. [PDF]
Dissertation and Theses
Rediet Abebe Cornell University, 2019. (Doctoral Dissertation) Recipient of SIGKDD Dissertation Award & SIGecom Dissertation Award (honorable mention)
Rediet Abebe University of Cambridge, 2014. (Master's Thesis)
Rediet Abebe Harvard University, 2013. (Bachelor's Thesis)