UsefulBench: Can Information Retrieval Find What Is Useful, Not Just Relevant?
A relevant passage is not necessarily useful for a decision. UsefulBench tests whether information retrieval systems can tell the difference in sustainability reports.
A relevant passage is not necessarily useful for a decision. UsefulBench tests whether information retrieval systems can tell the difference in sustainability reports.
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MSCI Institute finds that once set up, XBRL-based sustainability disclosures can be processed up to 10× faster than AI PDF extraction — and argues digital tagging and AI work best together, not as substitutes.
Is XBRL tagging for sustainability reports "archaic nonsense" — or a chance for digital reporting and AI? If you are an NLP researcher and want to discuss this with us, join NLP4Climate on 12 August.
Horizon Europe call HORIZON-CL2-2026-01-HERITAGE-01 funds research on art-science-technology collaboration: evidence, toolkits, and evaluation methods, plus either soft-skills frameworks or at least three low-TRL pilots on emerging technologies. EUR 15 million, deadline 23 September 2026.
Google DeepMind's openly released dataset and prompted implementation of the Habermas Machine, the AI mediation system behind the peer-reviewed Science study on AI-assisted democratic deliberation.
At Tolhuistuin in June, Green IO Amsterdam explored whether Dutch pragmatism can turn Green IT measurement into organisational impact — from TNO's national ICT footprint work to embedding GreenOps in Rabobank's GenAI rollout.
Call for evidence / participants: The European Commission's Better Regulation consultation is open until February 4, 2026. Join our working group to provide coordinated, evidence-based feedback.
The first ClimateCheck shared task at SDP 2025 challenged participants to build systems for scientific fact-checking of climate claims, with tasks focusing on abstract retrieval and claim verification against a corpus of 394,269 climate science publications.
A free comprehensive Udemy course by Nathaniel Burola exploring the environmental impacts of data centers and strategies for decarbonization in the digital infrastructure sector.
Join us in exploring the tactics companies use to evade carbon emission compliance and the implications for environmental policy, with expert insights from Lolie Cambolive.
The Carbon Footprint Modeling Tool is a pivotal innovation for environmental scientists, policymakers, and organizations, aiming to model and reduce carbon footprints through improved data transparency.