Dr. Forrest is a Professor in CIDSE and Center Director in the Biodesign Institute. She studies the biology of computation and computation in biology.
Dr. Adami obtained his Ph.D. and M.A. in theoretical physics from the State University of New York at Stony Brook, as well as a Diploma in Physics from Bonn University (Germany). His main research focus is Darwinian evolution.
Everywhere modern humans went, they constructed their own ecological niche by eliminating competitors. How did this relatively young species accomplish so much in so little time? Join Curtis Marean in this discussion.
Dr. Susan Rosenberg’s group reports phylogenetically deep translational discovery of fundamental, conserved biology in the bacterium E. coli.
Physical emergence-crystals, rocks, sandpiles, turbulent eddies, planets, stars-is fundamentally different from biological emergence-amoeba, mice, humans-even though the latter is based in the former.
Join us for coffee, cookies, and an interesting discussion at this month’s Coffee@Beyond! This month's talk, which will be delivered by Michael Lynch, is titled "Evolution is Not Simply Natural Selection".
If AI succeeds in eclipsing human general intelligence within decades, as many AI researchers predict, then how can we make it the best thing ever to happen to humanity?
Past Workshops hosted by The Beyond Center for Fundamental Concepts in Science
Several authors have argued that causes differ in the degree to which they are ‘specific’ to their effects. Woodward has used this idea to enrich his influential interventionist theory of causal explanation. Here we propose a way to measure causal specificity using tools from information theory. We show that the specificity of a causal variable is not well defined without a probability distribution over the states of that variable.
The origins of life likely required the cooperation among a set of molecular species interacting in a network. If so, then the earliest modes of evolutionary change would have been governed by the manners and mechanisms by which networks change their compositions over time. For molecular events, especially those in a pre-biological setting, these mechanisms have rarely been considered. We are only recently learning to apply the results of mathematical analyses of network dynamics to prebiotic events.