by Damon Lim Wei Da | Jun 22, 2026 | Featured, Lab news
Dr. Yuan Fang recently joined Data-Driven EnviroLab as a Post-doctoral Researcher. Dr. Fang completed her Ph.D. in Economics at the University of Wisconsin-Madison where her research bridged industrial organization, environmental and energy economics, and policy...
by Damon Lim Wei Da | Jun 3, 2026 | Conferences, Featured, Lab news
Dr. Sarah Berk recently represented Data-Driven EnviroLab (DDL) at the 2nd ESA-NASA Workshop on AI Foundation Models for Earth Observation at NASA’s Marshall Space Flight Center in Huntsville, Alabama. In this blog post, Dr. Berk shares her experience at the...
by Andrew Martin | Mar 18, 2026 | Climate, Data, Data Visualization, Featured
5 years ago, we released ClimActor, the largest harmonized global dataset of more than 10,000 subnational entities participating in climate policy networks like the Global Covenant of Mayors for Climate and Energy, C40 Cities for Climate Leadership, ICLEI Local...
by Data-Driven Lab | Feb 19, 2026 | Conferences, Featured
This December, I headed to New Orleans to attend the American Geophysical Union (AGU) Fall Meeting, one of the largest international conferences for Earth and space sciences. Presenting Urban Heat Research Tuesday morning began with presenting “Development of an...
by Data-Driven Lab | Dec 17, 2025 | Featured, Heat, Projects, Urban Environment and Social Inclusion Index
The following blog was written by Sarah Berk, a Postdoctoral Research Associate at the Data-Driven EnviroLab. A key part of the project “Exploring Disparities and Solutions to U.S. Urban Heat Stress and Climate Justice” is recognising the importance of integrating...
by Angel Hsu | Dec 16, 2025 | Climate, Conferences, Featured, Global Climate Action, UNFCCC
On 15 December 2025, the CAMDA community met around a familiar climate challenge: we have no shortage of initiatives, coalitions, and commitments, but we still struggle to measure what they deliver, compare progress across efforts, and translate activity into a clear...
