George Judge (University of California-Berkeley) Current Research Quantitative basis for reasoning in the context of an economic system that is stochastic, dynamic, and seldom in equilibrium The hidden dynamics of non-linear economic time series A probability basis for recovering information regarding unknown and unobservable micro processes Network tomography Forthcoming/Recent Publications Implications of the Cressie-Read family of additive divergences for information recovery, Entropy (with Ron Mittelhammer). An information theoretic approach to understanding the micro foundations of macro processes, Theoretcal Economics letters (with Sofia Villas). Econometric information recovery, Journal of Econometrics. Econometric theory interview, Journal of Econometric Theory.