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

2022

2021

People

Faculty

Research Scholars

Project Associates

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

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 16th, 2021
TimeSpeakerTitle
2:00 – 2:30 p.m.PrakharA Semi-automatic Approach for Generating
Academic Trailers for Learning Pathways and Resources
2:30 – 3:00 p.m.ChaitaliAI-based Narrative Arc Generation for Engaging Learning Experience
3:00 – 3:30 p.m.ShyamCompetency Maps – Measurement Space & Polyline Algebra
3:30 – 4:00 p.m.AnuragEduEmbed – A Knowledge Graph Embedding for Education
4:00 – 4:30 p.m.Niharika
4:30 – 5:00 p.m.PraseedaA Semantic Two Dimensional Space to Navigate the Learner
Day 2 – Dec 17th, 2021
2:00 – 2:30 p.m.JayatiComputational Transcendence in a Network
2:30 – 3:00 p.m.PoojaNetwork Learning in Open Data to aid Policy Making
3:00 – 3:30 p.m.Sharath
3:30 – 4:00 p.m.AparnaNamed Entity Recognition in Dravidian Languages
4:00 – 4:30 p.m.BalambigaConsent Management for Non-Personal Data
4:30 – 5:00 p.mProf. SrinathClosing Remarks

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

DateSpeakerTime Title
Day 1
16.12.2020Jaya03:00 – 03:30 p.m.Automatic Abstract Generation from Titles
16.12.2020Praseeda03:30 – 04:00 p.m.Modeling learners proficiency in a competency through Evidences
16.12.2020Chaitali04:00 – 04:30 p.m.AI-based Narrative Arc Generation for Engaging Learning Experience
16.12.2020Aparna04:30 – 05:00 p.m.
 
Day 2
17.12.2020Shyam02:00 – 02:30 p.m.Creating Navigable Competency Maps
17.12.2020Sharath02:30 – 03:00 p.m.
17.12.2020Jayati03:00 – 03:30 p.m.Modeling Two-level Computational Transcendence
17.12.2020Naman03:30 – 04:00 p.m.Automatic Extraction of Data from Table Images
 
Day 3
18.12.2020Pooja02:00 – 02:30 p.m.Network Learning on Open Data to aid Policy Making
18.12.2020Niharika02:30 – 03:00 p.m.Renarration of Learning Content
18.12.2020Prakhar03:00 – 03:30 p.m.Automatic Trailer Generation of Narratives
18.12.2020Anurag03:30 – 04:00 p.m.Knowledge Graph Embedding for Academic Domain
18.12.2020Prof. Srinath04:00 – 04:30 p.m.Closing Remarks