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$5.1 Million Awarded for Delving into Big Humanities and Social Science Data(Targeted News Service Via Acquire Media NewsEdge) WASHINGTON, Jan. 15 -- The Institute of Museum & Library Services issued the following news release: The Institute of Museum and Library Services and nine international research funders from four countries today announced the winners of the third Digging into Data Challenge. The international competition is designed to develop new insights, tools, and skills in innovative humanities and social science research using large-scale data analysis. Fourteen international teams representing Canada, the Netherlands, the United Kingdom, and the United States will receive grants totaling approximately $5.1 million to investigate how computational techniques can be applied to "big data." Their work will address the evolving nature of humanities and social sciences research, which often relies on massive multisource datasets. Each team represents collaborations among scholars, scientists, and information professionals from leading universities and libraries in Europe and North America. The first round of the Digging into Data Challenge was held in 2009 and the second in 2011. Previous Digging into Data research projects received international attention. The 2013 winners were selected from among 69 applications and address a wide variety of topics. IMLS's contribution of $424,591 supports American researchers from three of the fourteen teams: the Missouri Botanical Garden, the University of Wisconsin-Madison, and the University of South Carolina, whose projects are described below: Mining Biodiversity (Missouri Botanical Garden; University of Manchester, U.K.; Dalhousie University, Canada) aims to transform the Biodiversity Heritage Library into a next-generation social digital library resource to facilitate the study and discussion (via social media) of legacy science documents on biodiversity by a worldwide community and to raise awareness of the changes in biodiversity over time in the general public. The project will integrate novel text mining methods, visualization, crowdsourcing, and social media into the BHL. Project Arclight: Analytics for the Study of 20th Century Media (University of Wisconsin-Madison; Concordia University, Canada) will apply the same computational analytics used by data mining companies to identify people who are "trending" to study film and media history. A web tool will be built with open source technologies that will analyze roughly two million pages of public domain publications from the Media History Digital Library and the Library of Congress Chronicling America collection. Trees and Tweets: Mining Billions to Understand Human Migration and Regional Linguistic Variation (University of South Carolina; Aston University, U.K.) will analyze contemporary U.S. and U.K. Twitter data for regional variation in linguistic forms and link the patterns of variation with migration in both countries. The goal is to understand how linguistic variation is shaped by migration in both the past and present. Descriptions of all fourteen funded projects and additional information about the competition can be found at www.diggingintodata.org. TNS 30BautistaJude 140118-4606811 30BautistaJude (c) 2014 Targeted News Service |