Using big data to solve real problems through academic and industry partnerships. (December 2017)
- Record Type:
- Journal Article
- Title:
- Using big data to solve real problems through academic and industry partnerships. (December 2017)
- Main Title:
- Using big data to solve real problems through academic and industry partnerships
- Authors:
- Mitroff, Stephen R
Sharpe, Benjamin - Abstract:
- Highlights: Big data provides a powerful tool for solving real-world problems. Academic and industry partners can work together to maximize big data potential. Big data from the Airport Scanner app has informed both theory and airport security. Abstract : Big data has revolutionized a number of industries as it provides a powerful tool for asking and answering questions in novel ways. Academic researchers can join this trend and use immense and complex datasets to explore previously intractable questions. Yet, accessing and analyzing big data can be difficult. The goal of this chapter is to outline various benefits and challenges of using big data for academic purposes, and to provide thoughts on how to succeed. The primary suggestion is for academics to collaborate with appropriate industry partners to simultaneously achieve both theoretical and practical advances.
- Is Part Of:
- Current opinion in behavioral sciences. Volume 18(2017)
- Journal:
- Current opinion in behavioral sciences
- Issue:
- Volume 18(2017)
- Issue Display:
- Volume 18, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 18
- Issue:
- 2017
- Issue Sort Value:
- 2017-0018-2017-0000
- Page Start:
- 91
- Page End:
- 96
- Publication Date:
- 2017-12
- Subjects:
- Psychology -- Periodicals
150.5 - Journal URLs:
- http://www.sciencedirect.com/ ↗
- DOI:
- 10.1016/j.cobeha.2017.09.013 ↗
- Languages:
- English
- ISSNs:
- 2352-1546
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10776.xml