Horizon Europe call HORIZON-CL2-2026-01-DEMOCRACY-10 funds research into how digital and media literacy build democratic and civic resilience against disinformation, FIMI, and algorithmic polarisation. EUR 12 million, three projects, deadline 23 September 2026.
GARP tested 13 physical climate risk vendors against the same 100 properties worldwide. The correlation between vendors' flood damage-ratio estimates ranged from 0.2 to 0.9, one vendor geocoded a Boston property 1,507 km away in Atlanta, and dispersion behaves in opposite directions depending on which statistic you use to measure it.
Poor science communication is still damaging climate politics today. We think the fix — building science-aware societies and citizen scientists — is a logical next step. But science itself has a democratic-access problem, much like climate risk does. We're researching whether art, which faces a parallel funding bottleneck, can help open both up.
This week in Munich, Green IO's second DACH edition asks whether the region that industrialised manufacturing can industrialise Green IT in the age of AI — with workshops and talks on rightsizing, on-prem SLMs, e-waste, and the Blue Angel software label.
A comprehensive curated database providing up-to-date insights, tools, and research on the intersection of AI and environmental applications, from conservation science to sustainability.
An insightful look into how corporate lobbying activities influence climate change mitigation efforts, revealing the dichotomy between public commitments and actual lobbying practices.
Explore the transformative impact of Environmental, Social, and Governance (ESG) criteria on real estate investment strategies, sustainability practices, and market values.
Horizon Europe call HORIZON-CL2-2026-01-DEMOCRACY-08 funds research on safeguarding elections in the digital age: disinformation and FIMI, AI-powered campaigns, transparent political advertising, and platform accountability. EUR 12 million, three projects, deadline 23 September 2026.
Climate transition risk metrics from different providers can look wildly different for the same firm — but Bingler, Colesanti Senni, and Monnin's peer-reviewed research finds a more nuanced picture: metrics converge notably more for firms that are clearly most or least exposed, and cluster by underlying methodology.
UNEP FI, backed by 44 banks and investors, ran an identical dummy portfolio past 15 climate risk vendors. The same portfolio scored 76.9, 63, and 53.4 out of 100 for physical risk from three different vendors — and physical Value-at-Risk estimates ranged from 0.6% to over 21%.
Public climate data is abundant but coarse. Asset-level risk analysis needs resolution public data can't provide, so a private, well-funded market has emerged to close that gap with proprietary, often AI-driven methods. We think that market's structure — who can afford fine-grained data, and who can't — is itself a climate justice problem, made worse when the data isn't even reliably accurate.
Under the theme 'AI as a Controversial Force for Sustainability', Green IO New York cut through corporate PR with workshops on datacenter injustice, grid-adaptive AI scheduling, and the real cost of a Claude prompt — as New York's climate disclosure law took shape.
