Modern biological research relies on big data analytics. Vast reservoirs of memory and powerful computing ability mean machines find patterns and make meta-analyses and even predictions for scientists.
Articles on Data science
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City dwellers have better access to more information about the people and places around them than ever before, but it has never been more difficult to preserve privacy as a result.
Preventing crime before it happens, while saving resources, sounds like a great use of big data. But these calculated probabilities raise big questions about civil liberties.
Analyzing big data sets holds the promise of big insights. But the axiom “garbage in, garbage out” is particularly apt, since conclusions can be only as good as the raw data itself.
Today’s world is drenched in data, and we need the best tools to help us understand and use it.
Top contributors
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Acting director of the School for Data Science and Computational Thinking, Stellenbosch University
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Reader in Sociology, Cardiff University
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Research associate in environmental governance, Cardiff University
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Professor of Information Sciences, University of Tennessee
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Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science, University of Michigan
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Professor in science and technology studies, Cardiff University
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Senior Research Fellow | Program Leader for Digital Innovation and Data Analytics, Swinburne University of Technology
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Emeritus professor, University of Technology Sydney
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Arizona State University
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Professor of Computing Science, Director of the Digital Institute, Newcastle University
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Research Fellow, National Institutes of Health
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Demographer, POLIS Centre for Social Policy Research, Australian National University
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Associate Professor, Department of Entomology; African-American Studies, University of Illinois Urbana-Champaign
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Professor of Media and Communication, Director, Social Innovation Research Institute, Swinburne University of Technology
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Senior Lecturer in Music, Lancaster University