Data Analytics for Formulation of Effective Public Policy

Authors

  • Moonis Ali  Department of Computer Science & Engineering, University of Kashmir, North Campus Delina, Baramulla, J&K, India
  • Ali Hussain  Department of Computer Science & Engineering, University of Kashmir, North Campus Delina, Baramulla, J&K, India
  • Faisal Rasheed Lone  Department of Computer Science & Engineering, University of Kashmir, North Campus Delina, Baramulla, J&K, India

Keywords:

Data Analytics, Data, Policy Making

Abstract

Data Analytics is a subfield of computer science that provides us with vast resources and techniques to visualise, analyze, and derive meaningful insights from data. This is possible due to the availability of large volume of data from various data sources that may vary from sensors to social media platforms. The present paper introduces the subject of Data Analytics and contextualizes various techniques of Data Analytics with respect to the policy making process. An overview has also been presented about the various applications of Data Analytics in various fields and how inferences derived from these cases can be incorporated in policy making to aid in crisis management, health sectors, and in lowering the crime rates. At the end some some suggestions have been made while discussing the future scope of this field.

References

  1. Big data analytics for policy making Report: A study prepared for the European Commission DG INFORMATICS (DG DIGIT)- 2016-2017
  2. https://mag.uchicago.edu/university-news/data-science-meets-public-policy
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  4. Malaria Outbreak Prediction Model Using Machine Learning Vijeta Sharma1 ,Ajai Kumar2 ,Lakshmi Panat3 ,Dr. Ganesh Karajkhede4 ,Anuradha lele5
  5. http://www.promedmail.org/aboutus/
  6. M. Imran, C. Castillo, J. Lucas, P. Meier, and S. Vieweg, “AIDR: Artificial intelligence for disaster response,”

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-25

Issue

Volume 4, Issue 1, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Moonis Ali, Ali Hussain, Faisal Rasheed Lone, " Data Analytics for Formulation of Effective Public Policy, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.73-76, March-April-2018.