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Jason D Hartline

  • 2650 Citations
20012020

Research output per year

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Personal profile

Research Interests

Professor Hartline's research introduces design and analysis methodologies from computer science to understand and improve outcomes of economic systems. Optimal behavior and outcomes in complex environments are complex and, therefore, should not be expected; instead, the theory of approximation can show that simple and natural behaviors are approximately optimal in complex environments.

Education/Academic qualification

Computer Science, PhD, University of Washington

… → 2003

Computer Science, MS, University of Washington

… → 2000

Computer Science, BS, Cornell University

… → 1997

Electrical Engineering, BS, Cornell University

… → 1997

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Grants

Participant Support Costs

Hartline, J. D.

National Science Foundation

9/15/19 → 8/31/22

Project: Research project

    • HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .

    Hartline, J. D., Auerbach, E. J., Berry, R. A., Canay, I. A., Guo, D., Horowitz, J. L., Makarychev, K., Vijayaraghavan, A. & Wang, Z.

    National Science Foundation

    9/15/19 → 8/31/22

    Project: Research project

    • REU: AitF: Mechanism Design and Machine Learning for Peer Grading

    Hartline, J. D.

    National Science Foundation

    9/1/17 → 8/31/21

    Project: Research project

    • AitF:Mechanism Design and Machine Learning for Peer Grading

    Downey, D. C., Hartline, J. D. & O'Rourke, E. M.

    National Science Foundation

    9/1/17 → 8/31/21

    Project: Research project

    • AF: Small: Non-revelation Mechanism Design

    Hartline, J. D.

    National Science Foundation

    7/1/16 → 6/30/20

    Project: Research project

    • Research Output

    A truthful cardinal mechanism for one-sided matching

    Abebe, R., Cole, R., Gkatzelis, V. & Hartline, J. D., Jan 1 2020, 31st Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2020. Chawla, S. (ed.). Association for Computing Machinery, p. 2096-2113 18 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms; vol. 2020-January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Inference from auction prices

    Hartline, J., Johnsen, A., Nekipelov, D. & Wang, Z., Jan 1 2020, 31st Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2020. Chawla, S. (ed.). Association for Computing Machinery, p. 2472-2491 20 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms; vol. 2020-January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Dashboard mechanisms for online marketplaces?

    Hartline, J. D., Johnsen, A., Nekipelov, D. & Zoeter, O., Jun 17 2019, ACM EC 2019 - Proceedings of the 2019 ACM Conference on Economics and Computation. Association for Computing Machinery, Inc, p. 591-592 2 p. (ACM EC 2019 - Proceedings of the 2019 ACM Conference on Economics and Computation).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Efficient computation of optimal auctions via reduced forms

    Alaei, S., Fu, H., Haghpanah, N., Hartline, J. D. & Malekian, A., Jan 1 2019, In : Mathematics of Operations Research. 44, 3, p. 1058-1086 29 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Introduction to the Special Issue – Algorithmic Game Theory – STOC/FOCS/SODA 2012

    Devanur, N. R., Hartline, J. D. & Roughgarden, T., Jan 1 2019, In : Games and Economic Behavior. 113, p. 1-3 3 p.

    Research output: Contribution to journal › Editorial

    1 Scopus citations