Building smarter decision-making tools to relieve food poverty and reduce food waste. Debunking anti-transparency arguments made by extractive companies. Improving data practices to better support efforts towards ending poverty worldwide. These are just some of the outcomes achieved by nonprofits that took part in the London DataDive in November 2017 – which showed them how to make better use of their data and improve their effectiveness.
Datasets can help identify effective interventions, but to unlock this power, skills in computer programming, statistics, machine learning, data visualization and software design are critical. To address these challenges, DataKind engages data science and social sector experts on projects addressing critical humanitarian issues.
This November, Elsevier volunteers are among the 70 data scientists, developers and designers taking part in the 48-hour marathon event, working alongside nonprofit organizations to inform their work and create real-world change.