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This version of NSU News has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of NSU News, visit news.nova.edu.

This version of SharkBytes has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of SharkBytes, visit sharkbytes.nova.edu.

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Division of Public Relations and Marketing Communications
Nova Southeastern University
3301 College Avenue
Fort Lauderdale, Florida 33314-7796

nova.edu/prmc

SharkBytes Archives

Contact

Division of Public Relations and Marketing Communications
Nova Southeastern University
3301 College Avenue
Fort Lauderdale, Florida 33314-7796

communications@nova.edu

Graduate School of Computer and Information Sciences Faculty Presents at the Open University of Israel

Yair Levy, Ph.D.

Yair Levy, Ph.D.

Yair Levy, Ph.D., and a colleague, Michelle Ramim, Ph.D., of the University System of Georgia- Middle Georgia State College (Macon, GA), presented recently at the Open University of Israel in Ra’anana, Israel. Levy, professor of Information Systems, and Cybersecurity Director, Center for e-Learning Security Research (CeLSR) at NSU’s Graduate School of Computer and Information Sciences, and Ramim presented a talk entitled ‘The Role of Data Analytics as an Exploratory Research Tool.’ Levy and Ramim’s presentation focused on the ‘big-data’ captured by organizations over the past five decades. The massive amount of data about an organization’s internal operations, electronic communications, and customer information, according to Levy and Ramim, has grown from 800 Megabytes in the 1950s by American Airlines to over 150 Petabytes by Facebook in the 2010s. Levy and Ramim discussed the benefits of using data analytics for organizations and individuals, touching  upon challenges associated with ‘big data’ including access, privacy, and security for organizations, governments, individuals, and researchers. The presentation concluded with a discussion regarding some of the implications of data analytics on individualized levels and the shift to nano-data analytics for individual use, along with ideas for studies using data analytics as a research tool.