DSSGx

A global network of local DSSG chapters

Over the last few years, we have been developing a worldwide community of data science enthusiasts and organisations including:
  • Fellows, Tech Mentors and Project Managers that participate in our Summer Fellowships
  • Project Partner organisations that work with us across different economic sectors and social causes;
  • Participants and speakers of our events and conferences, that challenge our perspectives and minds;
  • Universities that eagerly collaborate with us in different regions.

DSSGx Chapters work with social good organisations to help them solve problems using data science, and can organize local events. This work is done as part of a global network, and collaborating and learning from others doing similar work.

We invite you to be part of this movement and join us in applying data science to create positive social impact in a fair and equitable manner.  Find your local chapter

Join our chapters worldwide

If you don’t yet see a local chapter where you are, apply to set up your own DSSGx chapter, to help solve problems you care about in your community.


By joining the global DSSGx community you agree to the following rules about doing projects and hosting events.

Our Chapters worldwide

Over the last few years, we have been developing a worldwide community of tens of thousands of data science enthusiasts and we invite you to be part of this movement and join us in applying data science to create positive social impact in a fair and equitable manner.

Apply here to set up your own local DSSGx chapter, bringing people together to help solve problems you care about in your community.

By being part of the DSSGx community you agree to the following rules about doing projects and hostings events.

DSSGx Chapters

DSSGxBerlin

DSSGxPortugal

DSSGxSalzburg

DSSGxSpain

DSSGxCMU

DSSGxFlorida

DSSGxWashignton

More Education: Fellowship

 

Fellows take on real-world problems

The Data Science for Social Good Fellowship is a full-time summer program to train aspiring data scientists