This white paper was prepared by the participants of the fall 2016 long program Understanding Many-Particle Systems with Machine Learning. Interactions between many constituent particles, i.e. quarks, electrons, atoms, molecules, or materials, generally give rise to collective or emergent phenomena in matter. Even when the […]

Prepared by Michael C. Ferris, University of Wisconsin (summarizing comments from workshop participants).  A workshop related to Optimization and Equilibrium in Energy Economics was held at IPAM on January 11-15, 2016. It was based on the premise that design and decision problems in electrical power […]

The data driven analysis of culture is now a reality, and calls for substantial investment in the emerging field of Culture Analytics. Culture Analytics simultaneously studies the dynamics of culturally informed interactions between people, and the cultural expressive forms that result from these interactions, and […]

This white paper on the recent progress and remaining open questions related to IPAM’s long program Traffic Flow Management was written by the participants of the program and edited by Daniel Work and Benjamin Seibold.  Read the full report. Introduction Transportation research is currently at […]