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Exploring Big Data: Research Initiatives in STEM, Social Informatics, and Digital Humanities

Join experts William H. Hsu, Michael Wesch, and Mark Crosby at the Big Data Summit Spring 2014 at K-State as they delve into the interdisciplinary applications of big data in STEM, social informatics, and digital humanities. Discover how big data transforms research and education through methods such as analytics, data mining, and visualization. Learn about local resources, opportunities in computing, and the future of digital ethnography. Engage with expert insights at K-State's Laboratory for Knowledge Discovery in Databases and beyond.

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Exploring Big Data: Research Initiatives in STEM, Social Informatics, and Digital Humanities

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  1. Big Data Summit Spring, 2014 Big Data at K-State: Research Initiatives in STEM, Social Informatics, & Digital Humanities William H. Hsu (Computing & Information Sciences) Michael Wesch (Sociology, Anthropology, & Social Work) Mark Crosby (English) Hsu: Laboratory for Knowledge Discovery in Databases (KDD Lab) Wesch: Digital Ethnography @ Anthropology Crosby: Digital Humanities This talk is: http://bit.ly/kstate-BigData-S2014-02 Handout:K-State Big Data For more info: @kstate_bigdata(Twitter), kstatebigdata@gmail.com Resources:http://bit.ly/kstate-BigData Big Data course: CIS 490/690/890, fall 2014

  2. Big Data is Already Here! • Where is “Here” and Since When? • K-State: Local Resources • Twitter: @kstate_bigdata • Facebook, LinkedIn • Everywhere (Ubiquitous Data, Computing) • Aspects: Practice, Applications, Research, Education • Methods: Visualization, Analytics, Data Mining, etc. • Informatics as Applied Computing: Building Blocks • Systems: Info Technology – Hardware & Software • Data, Information, & Knowledge Management • Analytics

  3. Big Data is Ubiquitous & Interdisciplinary Computational Medicine, Heath, & Biology (Bioinformatics & Medical/Health Informatics) http://portal.ncibi.org/gateway/ Digital Arts http://bit.ly/digitalarts-tutorials Citation Network of U.S. Supreme Court Decisions (Bommaritoet al., 2010) Computational Law http://bit.ly/complaw-citation-net

  4. Some Techniques & Findings Have been Around A long Time… Snow, J. (1854) http://bit.ly/infovis-myths-ghostmap See also: Johnson, S. (2006). The Ghost Map. 2014 Kansas State Book Network (KSBN) Common Reader

  5. Some Are New… Geoinformatics & Opinion Mining Murphy, Hsu, Elshamy, Kallumadi, & Volkova (2014)

  6. Some Are Emergent from Big Data (e.g., Big Social Data) http://bit.ly/datamining-target-teenpreg, http://bit.ly/datamining-ethics-teenpreg “How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did” (Hill, 2012) See also: http://bit.ly/seeing-state – Seeing Like a State (Scott, 1999)

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