Policy Support System (PSS) aims to characterize a policy based on its targets and indicators to aid policymakers in making informed decisions not only based on the present state of affairs but also anticipating future scenarios pertaining to policy interventions. The primary focus of PSS is the creation of models library with the aim to perform intervention modeling and counterfactual analysis.

Publications

2022

Apurva Kulkarni, Pooja Bassin, Niharika Sri Parasa, Srinath Srinivasa, Vinu EV, Chandrashekar Ramanathan. Ontology Augmented Data Lake System for Policy Support. 10th International Conference on Big Data Analytics in Astronomy, Science and Engineering (BASE) December 05 – 07, 2022
Pooja Bassin. “Network Learning on Open Data to aid Policy Making” in ER Forum and Ph.D. Symposium 2022 at 41^st International Conference on Conceptual Modeling, Virtual Event.
Pooja Bassin, Srinath Srinivasa, Sridhar Mandyam. “A Data-driven Approach for Supporting Policy Intervention in Sustainable Development”. Theme “Connecting Science and Policy”, Track “Collaboration Models for the SDGs” at “International Conference on Sustainable Development, September 19-20, 2022 [Online]”

2021

Pooja Bassin, Niharikasri Parasa, Srinath Srinivasa, Sridhar Mandyam. Big Data Management for Policy Support in Sustainable Development. Proceedings of the 9th International Conference on Big Data Analytics in Science and Engineering (BASE 2021), Springer LNCS, Aizu, Japan, December 2021