Big Data Analytics for Policy Support

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 modelling and counterfactual analysis.

Publications

2023

Pooja Bassin, Srinath Srinivasa, Mukund Raj. “Addressing Modelling Challenges for SDG Localisation” at “International Conference on Sustainable Development”, September 18-20, 2023[to appear]

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 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

People

Faculty

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

https://www.newindianexpress.com/cities/bengaluru/2022/jul/04/bengaluru-to-get-rs-5-crore-data-lake-forbetter-governance-improved-planning-2472616.html

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

December 15, 2021December 16, 2021

WSL Research Workshop December 2021

The Web Science Lab at IIIT-B conducts a biannual research workshop that aids research scholars to share and present the latest development in their field of work. These interactive brainstorming sessions encourage everyone to new ways of thinking and put forward a fresh perspective on ongoing research problems.

Due to the present COVID-19 situation, the workshop will be a 2-day event and shall be hosted virtually.

Date: 16th Dec’2021 – 17th Dec’2021

Time: 2:00 – 5:00 p.m.

Venue: MS Teams Link

Day 1 – Dec 16^th, 2021
Time	Speaker	Title
2:00 – 2:30 p.m.	Prakhar	A Semi-automatic Approach for Generating Academic Trailers for Learning Pathways and Resources
2:30 – 3:00 p.m.	Chaitali	AI-based Narrative Arc Generation for Engaging Learning Experience
3:00 – 3:30 p.m.	Shyam	Competency Maps – Measurement Space & Polyline Algebra
3:30 – 4:00 p.m.	Anurag	EduEmbed – A Knowledge Graph Embedding for Education
4:00 – 4:30 p.m.	Niharika
4:30 – 5:00 p.m.	Praseeda	A Semantic Two Dimensional Space to Navigate the Learner
Day 2 – Dec 17^th, 2021
2:00 – 2:30 p.m.	Jayati	Computational Transcendence in a Network
2:30 – 3:00 p.m.	Pooja	Network Learning in Open Data to aid Policy Making
3:00 – 3:30 p.m.	Sharath
3:30 – 4:00 p.m.	Aparna	Named Entity Recognition in Dravidian Languages
4:00 – 4:30 p.m.	Balambiga	Consent Management for Non-Personal Data
4:30 – 5:00 p.m	Prof. Srinath	Closing Remarks

December 14, 2020December 17, 2020

WSL Research Workshop December 2020

The Web Science Lab at IIIT-B conducts biannual research workshop that aids research scholars to share and present the latest development in their field of work. These interactive brainstorming sessions encourage everyone to new ways of thinking and lays out a fresh perspective on ongoing research problems.

Due to the present COVID-19 situation, the workshop will be a 3-day event and shall be hosted virtually.

Date: 16th Dec’2020 – 18th Dec’2020

Time: 2:00 – 5:00 p.m.

Venue: MS Teams Meeting Link

Date	Speaker	Time	Title
Day 1
16.12.2020	Jaya	03:00 – 03:30 p.m.	Automatic Abstract Generation from Titles
16.12.2020	Praseeda	03:30 – 04:00 p.m.	Modeling learners proficiency in a competency through Evidences
16.12.2020	Chaitali	04:00 – 04:30 p.m.	AI-based Narrative Arc Generation for Engaging Learning Experience
16.12.2020	Aparna	04:30 – 05:00 p.m.

Day 2
17.12.2020	Shyam	02:00 – 02:30 p.m.	Creating Navigable Competency Maps
17.12.2020	Sharath	02:30 – 03:00 p.m.
17.12.2020	Jayati	03:00 – 03:30 p.m.	Modeling Two-level Computational Transcendence
17.12.2020	Naman	03:30 – 04:00 p.m.	Automatic Extraction of Data from Table Images

Day 3
18.12.2020	Pooja	02:00 – 02:30 p.m.	Network Learning on Open Data to aid Policy Making
18.12.2020	Niharika	02:30 – 03:00 p.m.	Renarration of Learning Content
18.12.2020	Prakhar	03:00 – 03:30 p.m.	Automatic Trailer Generation of Narratives
18.12.2020	Anurag	03:30 – 04:00 p.m.	Knowledge Graph Embedding for Academic Domain
18.12.2020	Prof. Srinath	04:00 – 04:30 p.m.	Closing Remarks