Title | ||
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A Crowdsourcing Based Framework for E-Government: Suspect Identification and Investigation |
Abstract | ||
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The involvement of citizens' participation in identifying or developing innovative solutions to public problems is increasing. Thus, the concept of crowdsourcing continues to be in situations where the ideas, work, opinion or expertise of large groups of people are used. It is now used in various organizational strategy initiatives. However, this use has generally focused on open collaborative platforms and specific steps in the policy-making process such as agenda setting and policy assessments. In addition, other forms of crowdsourcing have been neglected in policy making with a few exceptions. This paper provides an overview of the crowdsourcing concept, gives examples of its use in the e-government sectors, and develops a crowdsourcing based framework for how governments can begin to strategize and think about the crowdsourcing to solve problems when engaging with citizens. Our framework is illustrated with the suspect investigation and identification. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/SITIS.2017.69 | 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) |
Keywords | Field | DocType |
crowdsourcing,e-government,framework,suspect identification,suspect investigation | Social group,Data science,Computer vision,E-Government,Task analysis,Computer science,Crowdsourcing,Organizational strategy,Suspect,Artificial intelligence,Law enforcement | Conference |
ISBN | Citations | PageRank |
978-1-5386-4284-9 | 0 | 0.34 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hasna El Alaoui El Abdallaoui | 1 | 0 | 0.34 |
Abdelaziz El Fazziki | 2 | 6 | 10.30 |
Fatima Zohra Ennaji | 3 | 0 | 1.01 |
Mohammed Sadgal | 4 | 2 | 7.80 |