Analytics Network blog

Data Science for Social Good (DSSG) Fellowship

The Data Science for Social Good (DSSG) Fellowship is 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.

For three months (June-August) they 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.

Originally created at the University of Chicago in 2013, the scheme is run this year also at two locations in the UK, the University of Warwick in collaboration with the Alan Turing Institute, and Imperial College.

Students interested in becoming 2019 DSSG fellows can apply for the program until 31 January 2019 Current or recently-graduated undergraduate and graduate students are eligible for the fellowship. DSSG fellows make a full-time commitment, and receive a stipend to cover expenses. For more information, visit the DSSG FAQ.

DSSG 2019 also seeks paid, full-time technical mentors and project managers for the coming summer. Mentors typically have a strong technical background, typically a PhD in data science, computer science, statistics, social science, or public policy and several years of industry experience. Project managers have a strong technical background and exposure to technology or data science projects, and several years of industry or consulting experience.

Non-profits and government organizations interested in providing a project for DSSG 2019 are also encouraged to apply. The ideal DSSG project features an important problem with high social impact that can be addressed with data and expertise provided by the project partner or partners. If you have an idea for a project but have questions about its suitability, contact datascience [at]

Further links:

The Analytics Network Winter Event

The Analytics Network, part of the Operational Research Society, organised the Winter event that took place at Robert Walters offices in Covent Garden on the 22nd November 2018.

On this ocassion we had four different speakers from a wide range of industries. The talks were:

  • Colin Stewart, Director of Analytics at More Metrics , Using open sourcedata in a post GDPR world to estimate household incomes
  • Kasia Kulma, Data Scientist at Mango Solutions, Interpretable Machine Learning with LIME - now and tomorrow
  • Ines Marusic, QuantumBlack, Algorithmic Bias: Metrics, methods, and implications
  • Thinh Ha, senior data scientist at Barclays, The measure and mismeasure of Algorithmic Fairness

All of our speakers presentations can be found in the document repository.

We look forward to seeing you in our coming events.

Analytics Network, The OR Society