1. The Challenge of Historical Data: Research and Institution-Building for a World-Historical Data Resource Patrick Manning University of Pittsburgh

3. Pathbreaking work: challenges and contributions An essential target: historical data up to the global level on social issues and human-natural interaction Advanced ontology: addressing space, time, topics, scale, metadata Unifying social-science theory: linking disciplines, scales, addressing missing data Advanced applications: crowd-sourcing, data mining Visualization: multivariate, multidimensional relationships in social affairs

5. 9:45Data and Visualization Ample interdisciplinary data and a new spatial platform reveal the possibilities for global analysis. “Disease, Climate, and Demography in the United States” Wilbert van Panhuis (Public Health, Pitt) and Daniel J. Bain (Geology, Pitt) “Disease and Demography in British India” Siddharth Chandra (Asian Studies, Michigan State University) “WorldMap: Geospatial Infrastructure for Collaboration” Ben Lewis (Center for Geographic Analysis, Harvard University) Comment: Donald Burke, Dean, Graduate School of Public Health, U. of Pittsburgh 11:15Break 11:30Towards a World-Historical Dataverse Infrastructure Infrastructure based on crowd-sourcing to facilitate world-historical data collection, consolidation, and analysis “Historical Data Integration based on Collective Intelligence” Vladimir Zadorozhny (Information Science, Pitt) “World-Historical Dataverse: Research Challenges” Hassan Karimi ((Information Science, Pitt) “Challenges of Data Mining” Carlos Sanchez (Dietrich School of Arts & Sciences, Pitt) Comment : Ron Larsen, Dean of the School of Information Science, U. of Pittsburgh 12:30 Lunch

6. 1 :30Theory and Education. The project links many areas of intellectual work and offers unique learning opportunities. “Linking Social Science Theories” Patrick Manning (History, Pitt), with students from Interdisciplinary Methodology – Jeremy Burton (LIS), Sharon Quinsaat (Sociology), Peter Wood (Theatre) Graduate study: Interdisciplinary Methodology  International Affairs (4)  Library & Info. Science (3)  Communications  Linguistics  Political Science  Public Health  Sociology  Slavic language  Statistics  Theatre  History “Prototyping World-Historical Dataverse Components: Class Project in CS 1630” Liz Marai (Computer Science, Pitt) and Evan McCullough. “Toward a World of World-Historical Data” Ruth Mostern (History, University of California – Merced) Comment: Rush Miller, Dean and Director, University Library System, Pitt 2:30 Closing Remarks 3:00 Reception