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Author = Rezk, Mohamed Adel;
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Displaying Results 1 - 2 of 2 on page 1 of 1
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A predictive government decision based on citizen opinions - tools & results
(2018)
Rezk, Mohamed Adel; Ojo, Adegboyega; El Khayat, Ghada A.; Hussein, Safaa
A predictive government decision based on citizen opinions - tools & results
(2018)
Rezk, Mohamed Adel; Ojo, Adegboyega; El Khayat, Ghada A.; Hussein, Safaa
Abstract:
Research on citizen satisfaction with respect to public policies has significant public and political value. Politicians are generally seeking effective public policies that favourably impacts citizens’ satisfaction. Citizen satisfaction index is a plausible mechanism for public policy makers to monitor and evaluate the public policies. While surveys on citizen satisfaction are common among agile and progressive public administration and governments, automating the computation of citizen's’ satisfaction is challenging. Given that surveys and evaluations related to citizen satisfaction are retrospective, remedial actions when necessary are always somewhat late. We describe in this poster a predictive analytics framework for citizen satisfaction with respect to public policy based on the previous citizen sentiments past related policies.
http://mural.maynoothuniversity.ie/13369/
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Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland
(2018)
Stasiewicz, Arkadiusz; Rezk, Mohamed Adel; Ojo, Adegboyega; Tambouris, Efthimios; Kalam...
Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland
(2018)
Stasiewicz, Arkadiusz; Rezk, Mohamed Adel; Ojo, Adegboyega; Tambouris, Efthimios; Kalampokis, Evangelos; Tarabanis, Konstantinos; Alcorn, Trevor; Leadbetter, Adam
Abstract:
Producing new generation of digital public services from open data is of major interest to policymakers, practitioners and academia in the digital government community. Recent efforts in the area of Linked Statistical Data suggest that the associated multidimensional data cubes are excellent resources that could underpin data-driven digital public services. We describe in this paper a set of tools and approach to exploiting linked statistical data produced from the integration of streams of open marine datasets for developing digital services to support Marine Rescue Operations. We also highlight the opportunities enabled through co-creation activities as well as the benefit and challenges for scaling and sustaining the initiative.
http://mural.maynoothuniversity.ie/13370/
Displaying Results 1 - 2 of 2 on page 1 of 1
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