The overall objective of this workshop is to continue the study of the foundations of info-metrics and information processing across the sciences.
The objective of this workshop is to continue the exploration into the basics of info-Metrics and entropic inference. In that workshop we focus on Info-Metrics in the natural sciences, study the state of information-theoretic estimation and data analysis in some areas of the natural sciences, and then discuss the implications of info-metrics in the natural sciences to the social sciences in general and to economics, econometrics, statistics and finance in particular.
Info-Metrics across the Sciences
Information Processing across the Sciences
Entropic Inference across the Sciences
Ariel Caticha (SUNY Albany) – Co-Chair Amos Golan (American U.) – Co-Chair Nicholas M. Kiefer (Cornell) Raphael D. Levine (The Hebrew U. and UCLA) Robin Lumsdaine (American U.)
Ariel Caticha (SUNY Albany) Duncan Foley (The New School for Social Research) Nathan Harshman (AU) John Harte (UC Berkeley) Yuichi Kitamura (Yale) Raphael D. Levine (The Hebrew U. and UCLA) Ilya Nemenman (Emory U.) Teddy Seidenfeld (Carnegie Mellon) Peter J. Steinbach (NIH, CIT, CMM) David Wolpert (NASA) Victor Yakovenko (U. Maryland)