Articles with keyword "Digging into Data"
Digging in Data Challenge grant projects develop and explore technologically inventive and computationally creative research methods that drill into massive data sets to arrive at new questions and surprising answers.
An independent council that studies critical issues for libraries and archives has concluded that the advanced computational techniques that are necessary to extract useful data from huge collections will require humanities scholars to fundamentally alter their definition of research.
One Culture: Computationally Intensive Research in the Humanities and Social SciencesA Report on the Experiences of First Respondents to the Digging Into Data Challenge
June 12, 2012. Today, at the Joint Conference on Digital Libraries in Washington, DC, the Council on Library and Information Resources (CLIR) released One Culture: Computationally Intensive Research in the Humanities and Social Sciences. This report culminates two years of work by CLIR staff involving extensive interviews and site visits with scholars engaged in international research collaborations involving computational analysis of large data corpora. These scholars were the first recipients of grants through the Digging into Data program, led by the NEH, who partnered with JISC in the UK, SSHRC in Canada, and the NSF to fund the first eight initiatives. The report introduces the eight projects and discusses the importance of these cases as models for the future of research in the academy.
To read the full report, along with supplementary case studies of each project, please visit the CLIR website.
Today, fourteen teams representing Canada, the Netherlands, the United Kingdom, and the United States were named the winners of the second Digging Into Data Challenge.
A few months ago, Harvard’s J.B. Michel and Erez Lieberman-Aiden, along with colleagues from Google and elsewhere, made quite a splash with their cover article in Science on “Quantitative Analysis of Culture Using Millions of Digitized Books.”