Cervest - Climate Intelligence Platform # Duration: June 2021 - June 2023 Location: Berlin, Germany
Why This Matters # Flood risk is one of the most financially significant climate hazards, yet most available flood data is either too coarse for asset-level decisions or too expensive to produce at global scale. This project tackled that gap — delivering a high-resolution, multi-scenario flood risk dataset that enables insurers, asset managers, and governments to quantify flood exposure anywhere on Earth.
Solve for Good × World Resources Institute # Programme: Data Science for Social Good (DSSG) fellowship Partner: World Resources Institute (WRI) Repository: dssg/solveforgood-wri
gis-laguerre # Type: Open-source library + technical writing License: Apache 2.0 Repository: dai-mo/gis-laguerre Article: Towards Data Science, 2021
Overview # gis-laguerre is a Python library implementing Laguerre-Voronoi diagrams (also known as weighted Voronoi or Power diagrams) for geospatial applications. It was developed to solve a concrete data preparation problem in the Solve for Good / WRI project, then packaged and documented for broader use.
