DocumentCode
734223
Title
Current Developments in Big Data and Sustainability Sciences in Mobile Citizen Science Applications
Author
Panchariya, Nikita S. ; DeStefano, Andrew J. ; Nimbagal, Varsha ; Ragupathy, Revathi ; Yavuz, Serkan ; Herbert, Katherine G. ; Hill, Emily ; Fails, Jerry Alan
Author_Institution
Dept. of Comput. Sci., Montclair State Univ., Montclair, NJ, USA
fYear
2015
fDate
March 30 2015-April 2 2015
Firstpage
202
Lastpage
212
Abstract
Sustainability Sciences Studies is an interdisciplinary approach towards understanding how to develop a culture of conservation. This culture of conservation can be viewed from many different aspects, from the individual person´s decisions to larger community´s impacts. In all of this, we see large quantities of data in a push-pull relationship with each other, with stakeholders needing to have access to real-time generated data sets and analytics from populations as large as a metropolitan community and be able to respond to as well as disseminate information to these populations. In this paper, we present a survey of the literature in these areas. The pervasive and diverse nature of big data in these fields demonstrates the need for data scientists to collaborate to identify ways to address the common and disparate needs that different projects may have in relation to big data. We also briefly present a platform and implementation the Sustainability Studies Mobile Toolkit (SSMT) and Geotagger that seek to address some of these needs.
Keywords
Big Data; human computer interaction; information dissemination; mobile computing; Big Data; SSMT; geotagger; information dissemination; metropolitan community; mobile citizen science application; sustainability science; sustainability study mobile toolkit; Big data; Biological system modeling; Crowdsourcing; Human computer interaction; Meteorology; Mobile communication; Monitoring; Big Data; Citizen Science; Crowdsourcing; Gamification; HCI; Sustainability Science;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference on
Conference_Location
Redwood City, CA
Type
conf
DOI
10.1109/BigDataService.2015.64
Filename
7184882
Link To Document