2011 CI Speaker Series: Computation Knowledge SynthesisFebruary 25, 2011
In the past, scientific computation was relegated to the analysis of data from discrete experiments and observation, and later the simulation of natural phenomena and the production of high-throughput experiments and observation. Emerging computational tools are now beginning to help scientists excavate, extract and organize legacy knowledge locked in layers of publications.
This context of increasingly computable questions and answers poses novel opportunities for computation to help science reason, generate questions and formalize regularities. This extends the reach of computation from analysis to hypothesis – from looking for anticipated patterns in nature to identifying intelligent algorithms that can anticipate those patterns . This series showcases research at the frontier of these exciting efforts.
Location: SEARLE 240A
Kevin Bretonnel Cohen, University of Chicago, Pharmacology
Bing Liu, University of Illinois, Chicago, Computer Science
Hod Lipson, Cornell University, Engineering
Mark Newman, University of Michigan, Center for Complex Systems
Gary King, Harvard University, Government and Institute for Quantitative Social Science
David Blei, Princeton University, Computer Science
Walter Fontana, Harvard University, Systems Biology
Albert-Lászlo Barabasi, Northeastern University