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

Confirmed Invited Speakers and Discussants




Call for Participation

Contributed Sessions:

We encourage interested researchers from across disciplines to submit papers. All papers (and topics) must be related to info-metrics.

Student Sessions:

We encourage interested students from across disciplines to submit papers to be presented at a special Students’ Session.

What to Submit?

Complete, or draft, papers are preferred, but detailed abstracts are also acceptable.

All submissions should be sent to the two co-chairs:
Amos Golan
Aman Ullah

Submission Deadline:
Monday, January 25.