SOCIALIZING "BIG DATA": Collaborative Opportunities in Computer Science, the Social Sciences, and the Humanities

Tuesday, January 15, 2013 - 12:00pm to 1:00pm

 

SOCIALIZING "BIG DATA":  

Collaborative Opportunities in Computer Science, the Social Sciences, and the Humanities

(Slideshare version of Richard's talk is available here.)

RICHARD MARCIANO

University of North Carolina at Chapel Hill

 

Tuesday, January 15, 2013

12:00 PM

The Franklin Humanities Institute "Garage" 

(C105, Bay 4, Smith Warehouse - map & directions)

Co-sponsored by the Franklin Humanities Institute and Social Science Research Institute

Light lunch provided

Harnessing the “data deluge” is promoting new conversations between disciplines.  Prof. Marciano and his collaborators have been pursuing research in a number of areas including: big cultural data, access to big heterogeneous data, records in the cloud, federated grid/cloud storage, visual interfaces to large collections, policy-based frameworks to automate content management, and distributed cyberinfrastructure to enable data sharing.  But more importantly, innovative technical approaches require the convergence of creative insights across computer science, the social sciences, and the humanities.  This talk touches on these topics and highlights a new collaboration with partners at Duke.

 

Richard Marciano is a professor in the School of Information and Library Science at the University of North Carolina at Chapel Hill, Director of the Sustainable Archives and Leveraging Technologies (SALT) lab, and co-director of the Digital Innovation Lab (DIL). He leads development of "big data" projects funded by Mellon, NSF, NARA, NHPRC, IMLS, DHS, NIEHS, and UNC. Recent 2012 grants include a JISC Digging into Data award with UC Berkeley and the U. of Liverpool, called "Integrating Data Mining and Data Management Technologies for Scholarly Inquiry," a Mellon / UNC award called "Carolina Digital Humanities Initiative," which involves the translating of big data challenges into curricular opportunities, and an NSF award on big heterogeneous data integration.

He holds a B.S. in Avionics and Electrical Engineering, and an M.S. and Ph.D. in Computer Science, and has worked as a postdoc in Computational Geography. He conducted interdisciplinary research at the San Diego Supercomputer at UC San Diego, working with teams of scholars in sciences, social sciences, and humanities.

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