Explore our events, and discover upcoming workshops and symposia you might be interested in attending. Be sure to add our Google Calendar to stay up-to-date on IDEAL events.

March 25, 2020
  • IDEAL Quarter Commences (Spring 2020: Inference and Data Science on Networks)

    March 25, 2020
    2233 Tech Dr, Evanston, IL 60208, USA

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March 26, 2020
March 27, 2020
  • Postponed: 6th Annual Conference on Network Science and Economics

    March 27, 2020 - March 29, 2020 | 
    Gleacher Center, 450 Cityfront Plaza Dr, Chicago, IL 60611, USA

    This year’s conference, sponsored by the National Science Foundation with additional support from the University of Chicago Booth School of Business and the Becker Friedman Institute will feature a special session on Networked Markets on the first day. The following two days of the conference will run with parallel sessions on all topics in the series’ broader theme of networks in economics, including (but not limited to):

    • learning in networks
    • selling information
    • interfirm networks
    • diffusion
    • strategic marketing and influence maximization
    • peer effects
    • homophily
    • network centrality
    • networks in international trade
    • networks of alliances and conflict
    • financial networks
    • models of network formation
    • games on networks
    • exchange and intermediation

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April 2, 2020
  • Canceled: IDEAL Quarter Welcome Reception (Spring 2020: Inference and Data Science on Networks)

    April 2, 2020 | 5:00 pm - 6:30 pm
    Farmhouse Evanston, 703 Church St, Evanston, IL 60201, USA

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April 13, 2020
  • Postponed: IDEAL Workshop: Computational vs Statistical Tradeoffs in Network Inference

    April 13, 2020 | 9:00 am - 1:00 pm
    Mudd 3514

    Researchers in diverse communities like economics, social science, and computer science have been studying network models for a long time as a way of understanding the impact of interconnections between various entities on their actions. The recent trend in availability of fine grained data makes it possible to use these network models to infer network structure based on the observations of actions of these entities. However, the inherent high-dimensionality of the hypothesis class makes such inference challenging without substantial unrealistic assumptions on the network structure. These challenges lead to several new and exciting statistical and algorithmic questions at the interface of network science, econometrics and machine learning. The workshop will cover some of the advances in the last decade on understanding trade-offs between statistical and computational efficiency for many algorithmic learning problems on networks. The speakers are Andrea Montanari (Stanford), Liza Levina (Michigan), Edoardo Airoldi (Temple). Ankur Moitra (MIT).

    More details:

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June 13, 2020
  • IDEAL Quarter Concludes (Spring 2020: Inference and Data Science on Networks)

    June 13, 2020
    2233 Tech Dr, Evanston, IL 60208, USA

    See Google calendar