2011 CI Speaker Series: Computation Knowledge Synthesis

February 25, 2011
A 2011 Computation Institute Speaker Series that highlights advances in the use of computation to reason over human knowledge and generate path-breaking insights, hypotheses and conclusions.

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 [1]. This series showcases research at the frontier of these exciting efforts.

Location: SEARLE 240A

January 24
Kevin Bretonnel Cohen, University of Chicago, Pharmacology

February 7
Bing Liu, University of Illinois, Chicago, Computer Science

March 7
Hod Lipson, Cornell University, Engineering

April 4
Mark Newman, University of Michigan, Center for Complex Systems

May 9
Gary King, Harvard University, Government and Institute for Quantitative Social Science

June 2
David Blei, Princeton University, Computer Science

FALL 2011

October 3
Walter Fontana, Harvard University, Systems Biology

Albert-Lászlo Barabasi, Northeastern University