maximize the quality and value of surgical care in an increasingly complex system set the stage for data-driven discoveries and insights to further transform surgery through a datascience approach. Datascience, in general, refers to a “study of generalizable extraction of knowledge from data” [ 14 ]. Datascience has become an integral part of several scientific disciplines, including clinical medicine. As surgical disciplines continue to improve the quality and value of care through technology and evidence, datascience will likewise enable their evolution through new
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Conference from 2010 to 2012. He delivered a keynote speech at the First Asia-Pacific iSchool Conference in 2014, ACM SAC 2015 Conference, ER2015 Conference, EDB 2016 Conference, and A-LIEP 2016 Conference. 1 Big Data, the Industrial Revolution 4.0, and DataScience Big data has been with us for a while. During the past decade, we have witnessed the exponential growth of data and rapid advances in computing technologies. With these new trends, our society has been rapidly going through digital transformation and entering a new world with numerous eye-opening developments
Data Science looks at raw numbers and informational objects created by different disciplines. The Digital Society creates information and numbers from many scientific disciplines. The amassment of data though makes is hard to find structures and requires a skill full analysis of this massive raw material. The thoughts presented here on DS2 - Data Science & Digital Society analyze these challenges and offers ways to handle the questions arising in this evolving context. We propose three levels of analysis and lay out how one can react to the challenges that come about. Concrete examples concern Credit default swaps, Dynamic Topic modeling, Crypto currencies and above all the quantitative analysis of real data in a DS2 context.
, München 2018 10. acatech – Deutsche Akademie der Technikwissenschaften : Kompetenzentwicklungsstudie Industrie 4.0 – Erste Ergebnisse und Schlussfolgerungen . acatech , München 2016 acatech – Deutsche Akademie der Technikwissenschaften : Kompetenzentwicklungsstudie Industrie 4.0 – Erste Ergebnisse und Schlussfolgerungen . acatech , München 2016 11. Kennet , S. R. ; Zonnesheim , A. ; Fortuna , G. : A Road Map for Applied DataScience Supporting Sustainability in Advanced Manufacturing: The Information Quality Dimensions . In: Procedia Manufacturing 21–15 th
Jane Greenberg is the Alice B. Kroeger Professor and Director of the Metadata Research Center http://cci.drexel.edu/mrc/ at the College of Computing and Informatics, Drexel University. Her research activities focus on metadata, knowledge organization/ semantics, linked data, datascience, and economics. She serves on the advisory board of the Dublin Core Metadata Initiative (DCMI) and the steering committee for the NSF Northeast Big Data Innovation Hub (NEBDIH) http://nebigdatahub.org/ . She is a principal investigator on the NSF Spoke initiative, “A Licensing