Gerdus Benade

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.

Research Interests

Computational social choice and fair division. Recommender systems. Discrete optimization.

Education

• Carnegie Mellon University Pittsburgh, PA
  PhD in Operations research (Tepper School of Business) 2014–2019
  MSc Operations Research (Tepper School of Business) 2014–2016
• Stellenbosch University Stellenbosch, South Africa
  MSc Operations Research (cum laude) under JH van Vuuren 2013–2014
  BScHons Operations Research (cum laude) 2012
  BSc Mathematics and Operations research (cum laude) 2009–2011

Teaching

• Machine Learning for Business Analytics
• Machine Learning for Business Analytics (winter MBA intensive)
• Synthesizing Digital Efforts to Deliver Better Outcomes, co-taught with Gene Cornfield.
• Machine Learning for Business Analytics
• Machine Learning for Business Analytics
• Machine Learning for Business Analytics (winter MBA intensive)
• Synthesizing Digital Efforts to Deliver Better Outcomes, co-taught with Gene Cornfield. (New cloud computing component!)
• Machine Learning for Business Analytics
• Machine Learning for Business Analytics (winter MBA intensive)
• Machine Learning for Business Analytics

Selected Publications

• Benade, J., Gal, K., Fairstein, R. (In Press). "Participatory Budgeting Design for the Real World", Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence
• Benade, J., Psomas, A., Halpern, D. (In Press). "Dynamic Fair Division with Partial Information", Advances in neural information processing systems
• Benade, J., Nath, S., Procaccia, A., Shah, N. (In Press). "Preference elicitation for participatory budgeting", Management Science
• 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
• 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