Data Analytics for Formulation of Effective Public Policy

Authors(3) :-Moonis Ali, Ali Hussain, Faisal Rasheed Lone

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.

Authors and Affiliations

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

Data Analytics, Data, Policy Making

  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
  3. https://www.ibm.com/blogs/research/2017/04/machine-learning-models-drug-discovery/
  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,”

Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 73-76
Manuscript Number : CSEIT411812
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Moonis Ali, Ali Hussain, Faisal Rasheed Lone, "Data Analytics for Formulation of Effective Public Policy", International 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
URL : http://ijsrcseit.com/CSEIT411812

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