معرفی
Gerdus Benade is an Assistant Professor in the Information Systems department at Boston University's Questrom School of Business and a Junior Faculty Fellow at the Rafik B. Hariri Institute for Computing and Computational Science & Engineering. His research sits at the intersection of computer science and economics, focusing on making group decisions under uncertainty and the fair division of resources in dynamic settings.
- Boston University, Questrom School of Business (Current)
- Carnegie Mellon University, Tepper School of Business (PhD)
- Stellenbosch University (MSc)
Benade's research primarily explores computational social choice, fair division and discrete optimization, with particular interest in applications to traditionally political issues like voting, participatory budgeting and political districting or gerrymandering. His work spans theoretical foundations of fair allocation mechanisms and practical implementations addressing real-world problems in democratic decision-making processes. He has made significant contributions to understanding how to achieve Rawlsian justice in food rescue systems, develop fair redistricting algorithms that balance optimization with partisan fairness, and design participatory budgeting methods that work effectively in practical settings.
Analysis of Benade's recent publications reveals a consistent trajectory toward increasingly practical applications of computational social choice theory. While early work focused on theoretical foundations of fair division and social welfare functions, recent papers address concrete implementation challenges in participatory budgeting, political redistricting, and food distribution systems. His research demonstrates a distinctive approach that bridges theoretical computer science with real-world policy implications, particularly in democratic processes where computational methods can enhance fairness and representation.
Benade's work has been recognized through presentations at major conferences including the ACM Conference on Economics and Computation (EC), NeurIPS, and AAAI. His research on political redistricting has been mentioned in The Washington Post, and his work on sortition was featured in Bloomberg.
Benade has advised on projects involving Amazon's supply chain optimization technologies and collaborated with researchers at institutions including Harvard University and the MGGG Redistricting Lab. His teaching includes Machine Learning for Business Analytics courses at Boston University.
As a Junior Faculty Fellow at the Rafik B. Hariri Institute, Benade contributes to interdisciplinary research at the intersection of computing and societal challenges, working alongside researchers addressing complex problems through computational approaches.
