Introduction to the Hackathon

The Data for Social Good – Hackathon, presentred by TSIC Foundation, Government of Telangana, in collaboration with the Data analytics and Computational Social Science (DACSS) Program at the University of Massachusetts, Amherst, welcomes students with Data Analytics Skillsfields at various Educational Universities across India in developing insights/interpretations/conclusions from datasets. The students with prevailing data sets arrive to a conclusion in the form of findings, graphs, etc through Data visualisation, which could be further recommended to organisations for revised decisions towards SDGs’ progress in the State of Telangana.

Aim of the Hackathon

Aim of the Hackathon

While Data analytics in the mainstream tech industry has largely been perceived as a technology for business-driven decisions, this hackathon aims to inculcating and sensitizing young minds to using data for social good by analysing vast data resources to generate evidence-based insights

The focus of the Hackathon

The focus of the hackathon would rely on the below-mentioned SDGs.
The goal of the 3-day hackathon is to visualize the progress towards Sustainable Development Goals (SDGs) using the lastest prevailing datasets pertaining to the state of Telangana, by driving insights that could be recommended to the Government/Civil Societies/NGOs/Think Tanks/ Educational & Research Institutions, that can help in driving their decisions.

Overall expectation from the hackathon is to have participants come up with a report which will summarize the approach towards the Data provided, and that is inclusive of impact findings (will be defined to participants) in the form of Graphs/Dashboards/Summary, etc.

Participants Criteria

Participants Criteria

This Hackathon is open for students across India who are pursuing either B.Tech/M.Tech/BCA/MCA/PGDM (all specializations) or B.Sc/M.Sc (Computers, Electrical, Electronics, Communications) or Polytechnic source
(Computers, Electrical, Electronics, Communications) or in any of the STEM (Science, Technology, Engineering, Mathematics) or Social Sciences or policy related fields and must be in pre-final or final year/3rd or 4th year.

Participation Specifics

  1. You can join as an individual or as a team with a minimum of 1 and a maximum of 4.
  2. The participation in the Hackathon is free for all.
  3. This event does not require any physical presence as it is completely online.

Opportunities for Winning teams

Winning teams will receive the unique opportunity to present their solution at a Virtual Research Symposium organized by the Data Analytics and Computational social Science program at the University of Massachusetts Amherst.

Winning teams will be provided an opportunity to present their findings to relevant Government Departments, and help them formulate decisions and policies

The flow of the program

20th Aug 2021
Release Call for Applications
20th Sep 2021
Onboarding the selected participants
27th Sep 2021
Program Inauguration and day 1 of Hackathon
28th-30th Sep 2021
Day 2, 3, and 4 of Hackathon
1st Oct 2021
Day 5 of Hackathon and closing Ceremony
Final Selected Teams will get to present their findings/analysis at Virtual Research Symposium, by DACSS Program of University of Massachusetts Amherst

20th Aug 2021

Release Call for Applications

20th Sep 2021

Onboarding the selected participants

28th Sep 2021

Program Inauguration and Day 1 of the Hackathon

29th-30th Sep 2021

Day 2 and 3 of the Hackathon

1st Oct 2021

Submisson Day

Date to be confirmed

Winning Teams will get to present their findings/analysis at Virtual Research Symposium, by DACSS Program of University of Massachusetts Amherst

Supporting Partners

Knowledge
Partners

Platform
Partner

Outreach
Partners

1


You can join as an individual or as a team with a minimum of 1 and a maximum of 4.

2


The participation in the Hackathon challenge is free for all.

3


This event does not require any physical presence as it is completely online.

4


The individuals or teams participating in the hackathon can only select 1 problem statement to solve during the event.