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Designing Intelligent Automation based Solutions for Complex Social Problems

Authors
  • Podder, Sanjay
  • Misra, Janardan
  • Kumaresan, Senthil
  • Dubash, Neville
  • Bhattacharya, Indrani
Type
Preprint
Publication Date
Jun 16, 2016
Submission Date
Jun 16, 2016
Identifiers
arXiv ID: 1606.05275
Source
arXiv
License
Yellow
External links

Abstract

Deciding effective and timely preventive measures against complex social problems affecting relatively low income geographies is a difficult challenge. There is a strong need to adopt intelligent automation based solutions with low cost imprints to tackle these problems at larger scales. Starting with the hypothesis that analytical modelling and analysis of social phenomena with high accuracy is in general inherently hard, in this paper we propose design framework to enable data-driven machine learning based adaptive solution approach towards enabling more effective preventive measures. We use survey data collected from a socio-economically backward region of India about adolescent girls to illustrate the design approach.

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