Data Science for Good.

We provide an innovative skilled-volunteering solution. Through our decentral network of over 1300 skilled voluntary data scientists we democratize the potential of advanced data analysis and start projects with mission-driven organisations.

Data Science for Tomorrow.

We are training committed data scientists in data privacy, project management and the communication with non-profit organizations. We are a platform to educate and connect the socially dedicated data analysts of tomorrow.

Data Science for Society.

We advocate a broad dialogue about the potential and the limits of data science in civil society. We demonstrate in talks, workshops and conferences how to do good with data. We offer education for NPOs on data strategy, data privacy, data collection and data analysis.

Data hour

Do you work for a NPO? You can discuss all your questions revolving around our work and data with one of our coordinators in our 1:1 data hour. Whether projects, educational sessions, events, data collection, or data analysis: we will see you there!

CorrelAid Strategy 2021 - Evolution


CorrelAid Strategy 2021 - Evolution

As we are growing (and growing and growing), it is time to tackle old challenges with a shifted mindset: With 1,600 members, 15 local chapters, 18 projects a year and a never ending stream of workshops, events and conferences, we need to scale up existing processes to accommodate for growing target groups. Both in our work with data analysts, scientists and enthusiasts and NPOs with a data-mindset, we want to become more effective and efficient, opening the doors to new fundraising and partnership opportunities.

(K)eine Datenstrategie für die Zivilgesellschaft


(K)eine Datenstrategie für die Zivilgesellschaft

Die Datenstrategie der Bundesregierung ist da. Nachdem wir uns bei CorrelAid seit 2015 mit allem beschäftigen, was mit Datennutzung in der Zivilgesellschaft zu tun hat, nehmen Frie (COO) und Johannes (Vorstandsvorsitzender) die Strategie einmal aus dieser Perspektive unter die Lupe.

Gender differences in mobility patterns - an analysis of Madrid


Gender differences in mobility patterns - an analysis of Madrid

Data analysis can be gender biased. This article explores how this applies to mobility. We analyzed open mobility data from Madrid to identify differences in mobility behaviour between men and women.