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Introduction to Data Driven Policy Making | July 24- 25 | Course Instructor- Ajit Mani

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Course DescriptionIn recent decades evidence-based policy making has been pushed to the forefront by governments worldwide for designing successful, efficient and effective policies. Data in the 21st century is on par with oil as an invaluable asset. The 2019 Nobel prize for Economic Sciences awarded to Abhijit Banerjee, Esther Duflo and Maichael Kremer for their pioneering work towards alleviating global poverty using randomised controlled trials(RCTs) marked a defining moment in this direction. Data in the form of evidence can educate a streamlined policy making process. It is in this context that the introductory course on data driven policy making is designed to understand topics such as policy development, monitoring and evaluation, participatory policy planning and application of evidence based data analysis. 

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Course Objectives

  • To introduce participants to policy making and emphasise the need to base policy development on data analysis
  • To acquaint participants with case studies and give them insights on actual application of the evidential approach
  • To cultivate a sophisticated understanding of the key ideas of ‘Results’ and ‘Measurement’ subsumed under the discipline of Management and supported by data collation and inference
  • To delve deeper into data analysis and utilising it to obtain reliable insights into an individual’s assessments, preferences and choices

Course BenefitsBy the end of the course you will have:

  • An in-depth understanding of evidence based policy development. The students will understand the role of data and data analysis in informing policy decisions.
  • Ability to apply the concept of evidence based analysis with the support of case studies
  • A deep understanding of the concepts of policy cycle ,methods of measurement ,monitoring and evaluation and participatory policy planning
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