A New framework of e-Participation using data science to support community empowerment

Abstract

e-Participation is an interesting field capturing how technology can support community empowerment in public decision making. Data Science is also an emerging field that uses methods, processes, algorithms and systems to develop pattern, knowledge and insights from tructured and unstructured data. It is still limited research capturing and integrating e-participation and data science into one framework. This paper aims to develop a new framework that integrate e-participation and data science frameworks. Hopefully, this research contributes a new framework of e-Participation using data science approach. The novel framework is collaborating technological and nontechnological aspects, multidisciplinary approaches and accommodating the emerging technologies nowadays. This research has implications for theory by adding the new framework into e-Participation, e-Government, Information Systems, Data Science fields. Another important practical implication is that practitioners and decision makers in government could consider elements in the framework to get successful in the technology implementation for supporting citizen participation