Recent Advances in Info-Metrics Research

Where & When

April 8, 2021
Venue: Virtual

Workshop Objectives and Topics

In honor of Shannon's 105 th Birthday, and in celebration of our recently edited book Advances in Info-Metrics: Information and Information Processing across Disciplines (Chen, Dunn, Golan, Ullah, OUP, 2021), we will have a one-day online workshop to discuss recent advances in info-metrics and information-theoretic inference. The workshop will focus on info-metrics in the 21st century: recent advances, open questions and directions for future research within an interdisciplinary perspective. The aims of the workshop are to provide a forum for the dissemination of new research in all areas of info-metrics and to stimulate discussion between researchers, and students, across fields.
The workshop will consist of invited talks, papers’ presentations, a graduate student session and a panel discussion.

Topics of interest include (but not limited to)

  • Modeling and Inference
  • Applied Info-Metrics Inference
  • Philosophy of info-metrics
  • Causal Inference and info-metrics
  • AI, Machine Learning, Deep Learning and info-metrics
  • Covid-19 and info-metrics
  • Inequality and info-metrics

Program Committee

Invited Speakers

Bin You (UC Berkeley)

Karl John Friston (University College London)

Confirmed Speakers and Panelists

Min Chen (Oxford)

Michel J. Dunn (Indiana University, Bloomington)

Amir Erez (Hebrew University)

John Harte (UC Berkeley)

Nataly Kravchenko-Balasha (Hebrew University)

Robin Lumsdaine (American U)

Essie Maasoumi (Emory)

Mateu Sbert (University of Girona)

Michael J. Stutzer (U. Colorado, Boulder)

Wojciech Szpankowski (Purdue)

Assaf Zaritsky (Ben Gurion University)


Center for Science of Information

Endorsed By

International Statistical Institute

International Statistical Institute

Other Promoters

Entropy Journal

Rimini Center for Economic Analysis