Gerdus Benade
Assistant Professor, Information Systems
Gerdus Benade is an assistant professor in the Information Systems department. His research considers questions at the intersection of computer science and economics, like making group decisions under uncertainty and the fair division of resources in dynamic settings. He is particularly interested in applications of optimization and computational social choice to traditionally political issues like voting, participatory budgeting and political districting or gerrymandering.
Selected Research Presentations
Benade, G. Achieving Rawlsian justice in food rescue, COMSOC International Seminar Series on Social Choice, Virtual, 2024
Benade, J. , Sahoo, N. Stability, Fairness and the Pursuit of Happiness in Recommender Systems, Workshop on Information Technologies and Systems (WITS), Copenhagen, Denmark, 2022
Benade, J. Stability, fairness and the pursuit of happiness in recommender systems, WITS – Workshop on information systems and technologies, Copenhagen, Denmark, 2022
Benade, J. Dynamic Fair Division with Partial Information, Dagstuhl workshop – computational social dynamics, Wadern, Germany, 2022
Benade, J. Stability, fairness and the pursuit of happiness in recommender systems, EconCS seminar series, Harvard University, 2022
Benade, J. Dynamic Fair Division with Partial Information, Tufts Graph algorithms and computational social choice seminar series, 2022
Benade, J. Participatory budgeting designs for the real world, Dagstuhl workshop: Algorithms for participatory democracy, Wadern, Germany, 2022
Publications
Benade, J., Nath, S., Procaccia, A., Shah, N. (In Press). “Preference elicitation for participatory budgeting”, Management Science
Benade, J., Psomas, A., Procaccia, A., Kazachkov, A., Zeng, D. (2023). “Fair and efficient online allocations”, Operations Research
Benade, J. (2023). “Achieving Rawlsian justice in food rescue”, https://dl.acm.org/doi/proceedings/10.1145/3617694
Benade, J., Procaccia, A., Tucker-Foltz, J. (2023). “You can have your cake and redistrict it too”, Proceedings of the 24th ACM Conference on Economics and Computation, 2023
Fairstein, R., Benadè, G., Gal, K. (2023). “Participatory Budgeting Designs for the Real World”, Proceedings of the AAAI Conference on Artificial Intelligence, 37 (5), 5633-5640
Benade, J., Psomas, A., Halpern, D. (2022). “Dynamic Fair Division with Partial Information”, Advances in neural information processing systems
Benade, J., Ho-Nguyen, N., Hooker, J. (2022). “Political Districting without Geography”, Operations Research Perspectives, 9
Benadè, G., Hooker, J. (2019). “Optimization Bounds from the Branching Dual”, INFORMS Journal on Computing
Benade, J., Goelz, P., Procaccia, A. (2019). “No stratification without representation”, ACM
Benade, G., Kazachkov, A., Procaccia, A., Psomas, C. (2018). “How to Make Envy Vanish Over Time”, Proceedings of the 2018 ACM Conference on Economics and Computation 593-610
Benade, J., Nath, S., Procaccia, A., Shah, N. (2017). “Preference elicitation for participatory budgeting”,
Murrell, B., Weighill, T., Buys, J., Ketteringham, R., Moola, S., Benade, G., du Buisson, L., Kaliski, D., Hands, T., Scheffler, K. (2011). “Non-Negative Matrix Factorization for Learning Alignment-Specific Models of Protein Evolution”, PLoS ONE, 6 (12), e28898-e28898