The 2018 Summer Fellowship Kicks Off on May 28 in both Chicago and Europe.
Meet our 2018 Chicago and Europe Fellows
Nova School of Business and Economics in collaboration with the University of Chicago is organizing the Data Science for Social Good Europe Summer Fellowship.
The European fellowship is generously supported by The Municipality of Cascais, and other partners.
May 28 – August 17, 2018
Cascais, Portugal
We’re training data scientists to tackle problems that really matter.
The Data Science for Social Good Fellowship started at the University of Chicago in 2013. It is a summer program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more.
In the summer of 2017, for the first time, DSSG was held in Europe, organized by Nova School of Business and Economics in collaboration with the University of Chicago. Since then, the European team has been working closely with the global DSSG community to make DSSG Europe an annual event.
We are happy to welcome the fellows for three months at Nova SBE, to learn, hone, and apply their data science, analytical, and coding skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry and academia.
DSSG is (growing into) a global network. DSSG Europe is a step in that direction.
The 2018 European Summer Fellowship
The 2018 European program has brought 15 aspiring data scientists from across the world to Nova SBE. They are current (or recent) graduate students from quantitative and computational fields – from computer science and machine learning, to statistics, physical sciences and engineering, to economics and social sciences.
From May 28th to August 17th, they will work in teams of 3-4 on data science projects in partnership with nonprofits and government agencies, to tackle data-intensive high impact problems in public health, public safety, environmental issues, city operations, and social services, learning from full-time experienced mentors and project managers.