The strategic prototype “crime-sourcing” and the science/science fiction behind it
Gary Graham and
Rashid Mehmood
Technological Forecasting and Social Change, 2014, vol. 84, issue C, 86-92
Abstract:
Science fiction prototyping (SFP) and crowdsourcing are among a range of promising methodologies that are set to transform all spheres of human landscape be it science, business or social. This paper exploits the SFP and crowdsourcing methodologies and presents “crime-sourcing”, a prototype designed to explore futuristic crowdsourcing ideas. Its purpose is to provide a fictional scenario that speculates how crowdsourcing could be blended with future technology to develop a “crime-to-conviction” model. This scenario takes the cyber-space concept of crowdsourcing and then transfers it to a hybrid cyber/physical business model context. The story aligns itself with Zuckerman's doctrine that while there is human tendency to “flock together” in crowds, most of our social ties, online or offline, are only with a small set of people with whom we have much in common. The paper concludes with a discussion on contribution of this paper to crowdsourcing theory and the challenges that need to be overcome if prototyping is to become an established foresight methodology.
Keywords: Crowdsourcing; Technological forecasting; Social change; Crime-sourcing; Business models; Big data (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162513002849
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:84:y:2014:i:c:p:86-92
DOI: 10.1016/j.techfore.2013.10.026
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().