Data Science for Social Good 2023 in Munich (DSGGx 2023)

For two months, two teams of 4-5 fellows from across the world will work on machine learning, artificial intelligence, and data science projects that have a social impact.

Both teams will be assisted by a Technical Mentor and a Project Manager.

DSSGx Munich is organized by MCML PI Frauke Kreuter and MCML Director Bernd Bischl and their teams and funded by the Munich Center for Machine Learning.

©MCML

Many organizations that have a primary public mission, such as educational institutions, municipal or national governments, and NGOs, are not yet at the same level as corporations in utilizing data science. This disparity can be attributed to various factors, including limited financial resources or investment in this area, and lack in data science expertise.

This is just the beginning of an exciting two months journey. Let's explore how data science can be harnessed to address social challenges, create solutions, and foster meaningful change in our society.

©MCML

About the Projects

Project 1

The civil protection/fire brigade currently does not have a good tool that shows the range of fire hydrants on a map and takes natural obstacles such as stairs, rails, buildings, etc. into account. The solution is the development of a Fire Hydrant Range-Finder Web App. This project is together with the Katastrophenschutz in Munich.

Project 2

The European Commission stated the target of reducing land consumption by 2050. Germany aims to limit its land-take to less than 30 ha/day by 2030. In this project, the fellows will use web/document scraping to produce a dataset about land parcels from districts across Germany to get information about land sealing. After, the fellows will be able to analyze the data and answer questions about climate-change and climate-resilience in these regions.​​​​​​