DSE2023 Summer school and conference theme: Deep Learning for Solving and Estimating Dynamic Models

DSE summer school will equip early and mid-stage PhD students with tools and hands-on computational instruction in deep learning applied to solving and estimating dynamic models, thereby closely integrating economic and econometric theory in empirical work.

The summer school will consist of 4 days of lectures and will run alongside with 2 days conference in dynamic structural econometrics. The conference brings together top junior and senior researchers from the field to discuss recent advances in theoretical and applied work.

Important dates

  • March 1 Applications portal opens
  • May 1 Submission deadline
  • June 1 Admission and acceptance decisions
  • August 1 Registration deadline
  • August 21-26 DSE 2023 summer school
  • August 24-25 DSE 2023 conference

Application and registration links

DSE submissions are handled by Conference Maker and Headhunter websites.

Apply to attend the DSE2023 summer school course

Submit paper to DSE2023 conference program

Tuition fee

Upon registration the admitted students will have to pay the fee of 250 CHF (about 260 $USD).

There will be a limited amount of hotel rooms available for admitted students (upon a first come first serve basis).

Invited speakers and lecturers

Lecturers of the summer school and invited conference speakers include:

Hui Chen

Hui Chen
Massachusetts Institute of Technology

Jesús Fernández-Villaverde

Jesús Fernández-Villaverde
University of Pennsylvania

Semyon Malamud

Semyon Malamud
AEPFL, Swiss Finance Institute

Sanjog Misra

Sanjog Misra
University of Chicago Booth School of Business

Whitney Newey

Whitney Newey
Massachusetts Institute of Technology

Rafael Sarmiento

Rafael Sarmiento
Swiss National Supercomputing Center

John Stachurski

John Stachurski
Australian National University

Yucheng Yang

Yucheng Yang
Princeton University, University of Zurich

2023 organizers

Felix Kubler

Felix Kubler
University of Zurich

Core organizers

Fedor Iskhakov

Fedor Iskhakov
Australian National University

Robert A. Miller

Robert A. Miller
Carnegie Mellon University

John Rust

John Rust
Georgetown University

Bertel Schjerning

Bertel Schjerning
University of Copenhagen


Nuvolos

DSE 2023 is grateful for the support from Nuvolos — the collaborative computational workspace for researchers and students alike. With Nuvolos, DSE students will have elastically scalable compute resources ready to hand and can do their work directly in the browser.

Collaborative Computational Workspaces


We look forward to having you for DSE2023 in Lausanne in August!

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