The primary focus of Big Data Analytics for Policy Support project is to develop a sophisticated data management system that consolidates diverse documents from various government departments into a unified access point. This centralized hub serves as a valuable resource for policymakers, domain experts, and data analysts, allowing them to easily search and analyze documents through visual dashboards. The front-facing website of this work can be accessed at Karnataka Data Lake: Policy Research using Big Data Analytics.
The other research direction of the project focuses on creating a comprehensive model library, which becomes a crucial asset for policymakers. This library not only aids in making informed decisions based on the current state but also looks ahead to anticipate future scenarios related to policy interventions. The ultimate aim of the Policy Support System (PSS) is to provide policymakers with a powerful tool that addresses current challenges related to Sustainable Development Goals (SDGs) while also proactively navigating the evolving landscape of policy dynamics.
The Architecture Diagram of Big Data Analytics for Policy Support
Publications
2023
- Pooja Bassin, Srinath Srinivasa, Mukund Raj “Representation and Intervention Constructs for SDG Localisation” at “1st International Conference on Artificial Intelligence Applications in Environmental, Social and Governance(AIESG)“, December 08-09, 2023 IIM Bangalore [Accepted]
- Pooja Bassin, Srinath Srinivasa, Mukund Raj. “Addressing Modelling Challenges for SDG Localisation” at “International Conference on Sustainable Development”, September 18-20, 2023
- Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa, Pooja Bassin, Srinath Srinivasa. “Modeling the Impact of Policy Interventions for Sustainable Development”. IJCAI 2023. Demo Track
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 41st 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
People
Faculty
- Prof. Srinath Srinivasa
- Prof. Sridhar Mandyam
- Prof. Vinu E V
Research Scholars
- Pooja Bassin
- Apurva Kulkarni
Project Associates
- Niharika Sri Parasa
- Abraham G K
Project Students
- Nithin Raj
- Omkar Lavangad
- Phani Tirthala
- Himesh Krishna Osuri
- Anish Sai Potluri
- Ayush Tiwari
- Sowmith Nandan R
- Arpitha Malavalli
- Saiakash Konidena
- Arjun Dutta
- Akshay Girish Thite
- Umang Okate
- Gaurav Nilesh Tirodkar
- Jasvin James Manjaly
- Bhavil Sharma
- Mallangi Siva Charan Reddy
- Nimish Gaurish Sinai Khandeparkar
Interns
- Shreya Subramaniyam
- Ojas Hegde
- Greeshma Chandra Shekar
- Nandan N
- Sachin Tiwari
- Siddharth Gautam
Research Site
Karnataka Data Lake: Policy Research using Big Data Analytics
Media Mentions
Talks & Videos
- Big-data-analytics in Astronomy, Science, and Engineering (BASE) 2021
- MLN-DIVE Lecture Series: Srinath Srinivasa
Title: Diffusion and Perturbation Modeling for Policy Interventions
Date: June 11, 2022
https://psu.mediaspace.kaltura.com/media/MLN-DIVE+lecture+seriesA+Srinath+Srinivasa/1_mm4wvj58
- Bangalore Tech Summit 16th – 18th November 2022
