Ronen Gradwohl
Ronen Gradwohl

Assistant Professor of Managerial Economics & Decision Sciences

Print Overview

Ronen Gradwohl joined the MEDS department at the Kellogg School of Management in 2009 after obtaining his Ph.D. in computer science and applied mathematics from the Weizmann Institute of Science. His current research focuses on issues of privacy and transparency in strategic interactions.

Areas of Expertise
Applied Probability
Game Theory
Mechanism Design

Print Vita
PhD, 2009, Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
MSc, 2005, Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
BSc, 2003, Electrical Engineering and Computer Science, College of Engineering, University of California, Berkeley, high honors

Academic Positions
Senior Lecturer, Managerial Economics & Decision Sciences, Kellogg School of Management, Northwestern University, 2009-present

Print Research
Research Interests
Game theory; Large games; Probability; Protocol design; Fault tolerance

Gradwohl, Ronen. Forthcoming. Voting in the Limelight. Economic Theory.
Gradwohl, Ronen and Rann Smorodinsky. Forthcoming. Perception Games and Privacy. Games and Economic Behavior.
Gradwohl, Ronen and Omer Reingold. 2014. Fault Tolerance in Large Games. Games and Economic Behavior. 86: 438-457.
Gradwohl, Ronen and Eran Shmaya. 2015. Tractable Falsifiability. Economics and Philosophy. 31(2): 259-274.
Dziuda, Wioletta and Ronen Gradwohl. 2015. Achieving Cooperation under Privacy Concerns. American Economic Journal: Microeconomics. 7(3): 142-173.
Gradwohl, Ronen, Noam Livne and Alon Rosen. 2013. Sequential Rationality in Cryptographic Protocols. ACM Transactions on Economics and Computation. 1(1)
Gradwohl, Ronen and Omer Reingold. 2010. Partial Exposure in Large Games. Games and Economic Behavior. 68(2): 602-613.
Gradwohl, Ronen, Omer Reingold, Ariel Yadin and Amir Yehudayoff. 2009. Players' Effects under Limited Independence. Mathematics of Operations Research. 34(4): 971-980.
Gradwohl, Ronen, Moni Naor, Benny Pinkas and Guy N. Rothblum. 2009. Cryptographic and Physical Zero-Knowledge Proof Systems for Solutions of Sudoku Puzzles. Theory of Computing Systems. 44: 245-266.
Gradwohl, Ronen and Amir Yehudayoff. 2008. t-Wise Independence with Local Dependencies. Information Processing Letters. 106: 208-212.
Gradwohl, Ronen, Salil P. Vadhan and David Zuckerman. 2006. Random Selection with an Adversarial Majority. Proceedings of the 2006 Annual International Cryptology Conference. 26: 409-426.
Gradwohl, Ronen, Guy Kindler, Omer Reingold and Amnon Ta-Shma. 2005. On the Error Parameter of Dispersers. Proceedings of the 2005 International Workshop on Randomization and Computation. 9: 294-305.
Gradwohl, Ronen and Omer Reingold. 2008. Fault Tolerance in Large Games. Proceedings of the 2008 ACM Conference on Electronic Commerce. 9: 274-283.
Working Papers
Gradwohl, Ronen and Timothy Feddersen. 2016. Persuasion and Transparency.
Gradwohl, Ronen. 2014. Privacy in Implementation.
Conference Proceedings
Gradwohl, Ronen. 2017. "Voting in the Limelight." In EC'17.
Gradwohl, Ronen. 2017. "Information Sharing and Privacy in Networks." In EC'17.
Gradwohl, Ronen. 2009. "Rationality in the Full-Information Model." vol. 7.
Gradwohl, Ronen. 2008. "Fault Tolerance in Distributed Mechanism Design." In WINE, vol. 4.
Gradwohl, Ronen. 2008. "Price Variation in a Bipartite Exchange Network." In proceedings of 1st International Symposium on Algorithmic Game Theory, vol. 1, SAGT.

Print Teaching
Full-Time / Evening & Weekend MBA
Business Analytics I (DECS-430-5)
This course was formerly known as DECS 430-A/DECS 430-B
This course is equivalent to the MMM core course MMM Business Analytics (DECS-440) Analytics is the discovery and communication of meaningful patterns in data. This course will provide students with an analytics toolkit, reinforcing basic probability and statistics while throughout emphasizing the value and pitfalls of reasoning with data. Applications will focus on connections among analytical tools, data, and business decision-making.

Full-Time students are required to complete the Business Analytics Prep Course

Part-Time Students are required to complete the Business Analytics Prep Course

Static Optimization in Economics (MECS-560-1)
This course provides essential tools for those planning to create or apply economic theory. The course can be divided very broadly into optimization, fixed-point theory, and introduction to probability theory. More specific topics include: linear programming, Kuhn-Tucker conditions, Brouwer and Kakutani fixed-point theorems, supermodularity, and basics of probability and Lebesgue measure while illustrating uses in finance, game theory, general equilibrium, and matching.