The document discusses the growth of data-intensive science and the need for new computing infrastructures to manage the large amounts of data being produced. It covers three perspectives on infrastructure: grid computing which enables sharing of distributed resources over the internet, data centers which provide integrated storage and computing services, and e-science which combines grids, collaboration tools, and data analysis services. Examples are given of different scientific domains using these infrastructures.

1. New computing platforms for data-intensive science Ian Foster Computation Institute Argonne National Lab & University of Chicago

4. Growth of Genbank (1982-2005) Broad Institute

6. New problem solving methodologies <0 1700 1950 1990 “ Applied computer science is now playing the role that mathematics did from the 17th through the 20th centuries: providing an orderly, formal framework and exploratory apparatus for other sciences” – G. Djorgovski Empirical Data Theory Simulation

8. More data does not always mean more knowledge Folker Meyer, Genome Sequencing vs. Moore’s Law: Cyber Challenges for the Next Decade, CTWatch , August 2006.

12. Grid technology

13. NAE Grand Challenges

14. The future of multi-site data integration: An example fMRI Are positive symptom schizophrenics associated with more severe superior temporal gyrus dysfunction? Receptor Density ERP Web PubMed, Expasy, Brain Map, Etc. Structure Clinical Portal

15. caBIG: sharing of infrastructure, applications, and data. Aggregation in cancer biology Globus

16. As of Feb 16 , 2009 123 participants 104 services 65 data 39 analytical

18. Children’s Oncology Group clinical imaging irials (Erberich)

21. Understanding interactions between human and natural systems IPCC Emissions scenarios Numerical Simulations IPCC 4 th Assessment 2007 IPCC process: Bill Collins, LBNL Mitigation Adaptation

22. A C ommunity I ntegrated M odel for E conomic a nd R esource T rajectories for H umankind ( CIM-EARTH ) Dynamics, foresight, uncertainty, resolution, … Agriculture, transport, taxation, … Data (global, local, …) (Super) computers CIM-EARTH Framework Community process Open code, data www.cim-earth.org

23. Alleviating Poverty in Thailand: Modeling Entrepreneurship Consider only wealth, access to capital Consider also distance to 6 major cities Rob Townsend, Tibi Stef-Praun, Victor Zhorin Match High Low

25. Thank you! Computation Institute www.ci.uchicago.edu