UN-Water has announced the 43rd UN-Water Meeting scheduled for 24–25 March 2026 to coordinate the UN’s approach to water and sanitation issues.

• Event details and organiser: UN-Water (listed via the International Water Management Institute IWMI) will hold the meeting on 24 March 2026 – 25 March 2026, 09:00–17:00 (Europe/Rome).

  • Date: 24 March 2026 – 25 March 2026
  • Time: 09:00 am – 5:00 pm (Europe/Rome)
  • Agenda/Subject: Coordinate the UN’s approach to water and sanitation issues.

• Logistics and background: The event is published on IWMI’s events page and cross-listed on SDG.iisd.org; calendar links are provided (ICS, Google Calendar, iCalendar/webcal, Office 365, Outlook Live). Location is indicated by timezone (Europe/Rome); no specific physical venue or pricing/funding details are provided.

The International Water Management Institute (IWMI) will host the 2026 South African International Water Week (SAIWW) in Johannesburg.

• Event details: Host: International Water Management Institute (IWMI); Event: South African International Water Week (SAIWW); Dates: March 16–18, 2026; Times: 9:00 am–5:00 pm (Africa/Johannesburg); Location: The Houghton Hotel, Lloys Ellis Avenue, Johannesburg, 2198, South Africa. The event aims to bring together cross-sector participants to confront water security challenges and convert them into investment opportunities.
• Agenda & logistics:
  • Agenda/Subject: focus on water security, investment opportunities, and cross-sector collaboration.
  • Registration & resources: event page and calendar links available (IWMI event page, ICS/iCalendar, Google Calendar, Office 365/Outlook links).

The Environmental and Energy Study Institute (EESI) is hosting a briefing on readily-available solutions to reduce energy costs for homes and small businesses.

• Event details: The briefing is scheduled for Thursday, March 12, 2026, 3:00 PM – 4:30 PM EDT at Rayburn House Office Building, Room 2168 (Gold Room) in Washington, D.C., with a livecast at www.eesi.org/livecast; attendance is free and organizers ask attendees to RSVP to expedite check-in. Speakers are to be announced.
• Content and context: The session will review energy-efficiency measures (heating/cooling upgrades, insulation, appliances), highlight federal programs including LIHEAP and the Weatherization Assistance Program (WAP), and cites that U.S. electricity prices rose ~40% since 2020 and ENERGY STAR appliances can save ~$450 annually per household.

The Environmental and Energy Study Institute (EESI) and the Federation of American Scientists (FAS) have announced a public briefing titled “Igniting Innovation: Progress and a Path Forward for Wildfire Policy.”

• Main announcement: EESI and FAS will host a briefing on emerging wildfire solutions and federal policy strategies to scale them, featuring Senators John Curtis and Alex Padilla and experts from Megafire Action, Alliance for Wildfire Resilience, Shute, Mihaly & Weinberger, and Earth Fire Alliance; the event includes a live webcast and a reception to follow.
• Background and event details: The briefing highlights evidence-backed approaches (smart zoning, upgraded building codes, fuels management, early detection) in response to longer and more intense wildfire seasons and the estimated economic toll of $424 billion annually.
  • Date & time: Tuesday, March 3, 3:00 - 4:30 pm
  • Location: Russell Senate Office Building (SR-385), 2 Constitution Ave NE, Washington, DC
  • Agenda/subject: Wildfire preparedness, response, recovery policies, innovations, and federal policy mechanisms to implement tactics at scale

ITIF is offering a spring 2026 seminar course for congressional and federal staff covering emerging technology policy topics from March 2–30, 2026 in Washington, DC.

• Course details: Five-class seminar running Monday, March 2 to Monday, March 30, 2026 in Washington, DC; open to congressional and federal staff only; participants who attend at least four out of five classes receive a certificate; course and certificate are free of charge.
• Session and implementation specifics: Sessions cover Floating Connection: Broadband and Space-based Technologies (speakers Joe Kane, Ellis Scherer), Quantum ecosystems (Hodan Omaar), AI and life sciences (Sandra Barbosu), Children’s online safety (Alex Ambrose, Ash Johnson), and Powering Data Centers Without Breaking the Grid (Robin Gaster); ITIF worked with Perkins Coie LLP on compliance with House and Senate ethics guidelines.

The Environmental and Energy Study Institute (EESI) and the Business Council for Sustainable Energy (BCSE) will host a briefing presenting findings from the 2026 Sustainable Energy in America Factbook.

• Event details: Understanding Load Growth and Energy Affordability: Policy and Market Trends from the 2026 Sustainable Energy in America Factbook on Thursday, February 26, 2026, 3:30 - 5:00 PM EST; in-person at Rayburn House Office Building, Rayburn Gold Room (2168), 45 Independence Ave SW, Washington, DC 20515; Livecast available at www.eesi.org/livecast. The event is free and open to the public; attendees are asked to RSVP to expedite check-in.
• Content and participants: The Factbook offers year-over-year data on the U.S. energy transformation and examines trends in data centers and artificial intelligence, plus permitting/siting and federal appropriations affecting deployment of modern energy solutions. Speaker listed: Lisa Jacobson, President, Business Council for Sustainable Energy (BCSE).

The Environmental and Energy Study Institute (EESI) will host a Rapid Readout titled “Frozen Infrastructure: Winter Storm Impacts on Communities and the Power Grid.”

• Event: Rapid Readout on energy resilience and recovery after Winter Storm Fern. Date/Time: Friday, February 20, 2025, 12:00 PM – 12:30 PM EST. Format/Access: Online only, livecast at www.eesi.org/livecast. Cost: free. RSVP: please RSVP to expedite check-in.

  • Location/access sub-bullets: Livecast URL: https://www.eesi.org/livecast; Add to calendar/ICS: https://www.eesi.org/files/022026winter_ics.ics; RSVP/event page: https://www.eesi.org/briefings/view/022026winter#rsvp

• Scope & background: Examines Fern’s impacts on power grids and potential resilient solutions, referencing Winter Storm Uri (Texas, Feb 2021). Affected areas cited: Louisiana, Mississippi, Tennessee, and broader East Coast/South. Speaker: to be announced. Resources/links: event page, subscribe and privacy policy links provided.

The Czech Statistical Office (ČSÚ) published preliminary regional construction statistics showing a sharp decline in housing starts in the Vysočina Region for 1.–4. quarters 2025.

• Main announcement: ČSÚ reports 1,409 newly started dwellings in Vysočina in 1.–4. quarters 2025, down ~370 units (-20.8%) versus 2024; the region accounted for 3.9% of national housing starts. The data are preliminary results published by the regional ČSÚ office in Jihlava.
• Additional details / context: Regional and local breakdowns include Karlovarský +56.6% growth (largest increase nationally), Plzeňský -35.2% (largest fall nationally); within Vysočina, Pelhřimovsko +27.1%, Jihlava -41.0%, Žďársko -44.5%. Starts were dominated by family houses (63.7%), apartment-building starts ~36%; completed dwellings in the region totaled 1,478 (+3.1%), while national completions rose +11.5%. Data by individual districts for completions are currently unavailable due to a methodology change.

ASEAN Secretary-General Dr. Kao Kim Hourn met Naz Shah MP, the UK’s Trade Envoy to ASEAN, in London on 10 February 2026 to reaffirm commitments to strengthen ASEAN-UK economic cooperation.

• Main announcement: The meeting is an official reaffirmation of commitment to deepen ASEAN-UK economic cooperation, with agreed priority areas of regulatory excellence, supply chain resilience, digital transformation, financial services, and the green transition. The announcement is a factual report of the meeting held on 10 February 2026 in London.
• Background and details: The article documents an official diplomatic engagement by the ASEAN Secretary-General and the UK Trade Envoy to ASEAN; no new monetary commitments, contracts, or timelines beyond the meeting date were announced. Photographs of the meeting are published on ASEAN.org (image gallery links included).

thyssenkrupp nucera announced its Q1 FY2025/26 financial results and confirmed its full-year 2025/2026 forecast.

• Q1 results and guidance: The company reported Group order intake of EUR 75 million (Q1 2024/25: EUR 95 million), order backlog EUR 489 million (as of 31 Dec 2025), and sales of EUR 147 million (Q1 2024/25: EUR 262 million). thyssenkrupp nucera confirmed its FY2025/26 forecast: order intake EUR 350–900 million, sales EUR 500–600 million, and consolidated EBIT EUR -30 million to EUR 0 million. A high double-digit million-euro Chlor-Alkali new construction project (signed Dec 2025 in the Middle East) will be included in Q2 order intake as planned.

• Additional details and operational context: The release notes R&D increase to EUR 9 million (up 31%) and technology investments (SOEC, modular high-pressure electrolysis, new BM and BiTAC electrolyzers). Segment detail: gH2 sales EUR 77 million and gH2 backlog EUR 186 million; Chlor-Alkali new orders EUR 70 million and CA backlog EUR 302 million. EBIT and profitability impacts are quantified (Group EBIT EUR -4 million; gH2 EBIT EUR -12 million; CA EBIT EUR 8 million).

The European Union and India signed a Free Trade Agreement (signed on January 27) and the United States and India announced a separate interim trade framework (joint announcement on February 7).

• Main announcement: The EU–India Free Trade Agreement was signed on 27 January, covering the 27 EU states and India and expected to eliminate customs duties on more than 90% of imported products (91% in value) for the EU and 86% of products (93% in value) for India; the EU said the deal will reduce up to €4 billion (£3.5 billion) in annual tariffs for exporters.
• US framework and timing: The US–India interim framework was jointly announced on 7 February; it proposes lowering US reciprocal tariffs from 25% to 18%, and includes an Indian commitment to purchase $500 billion of U.S. energy products, aircraft and parts, precious metals, technology products and coking coal over the next five years (as stated in the official announcement).

Alistair Brash and co-authors have published a revised arXiv paper presenting Conditional Diffusion models for synthesising coherent daily active and reactive power profiles for LV distribution substations (arXiv:2510.12832, v2 10 Feb 2026).

• Main announcement: The paper proposes Conditional Diffusion models to synthesise daily active and reactive power profiles for LV distribution substations, and benchmarks these models against naive and state-of-the-art approaches; evaluation includes temporal and statistical realism metrics and power flow modelling. (Submission history: v1 13 Oct 2025, 6,213 KB; v2 10 Feb 2026, 3,363 KB.)
• Background and details: The authors present multiple models addressing varying data availability (from unconditional synthesis to metadata- and daily-statistics-informed generation); target users and motivations include distribution network operators and distribution system operators for planning and congestion management. Paper metadata: subjects include Systems and Control (eess.SY), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), Signal Processing (eess.SP); DOI https://doi.org/10.48550/arXiv.2510.12832; license CC BY 4.0.

Samira Alkaee Taleghan and co-authors have released IceFMBench, a benchmark for evaluating foundation models on sea ice type segmentation.

• Main announcement: IceFMBench provides a standardized dataset (Sentinel1 SAR imagery), diverse evaluation metrics, and a representative set of remote sensing foundation models for sea ice type segmentation, with the ability to add new models side-by-side the existing ones. The paper presents an extensive comparative evaluation of these models and case studies assessing temporal and spatial transferability.
• Background and details: The authors identify SAR-specific challenges (e.g., banding, scalloping, heterogeneous backscatter) and propose a multi-teacher knowledge distillation approach to improve spatiotemporal transferability. Paper submission history: v1 submitted 28 Mar 2025; v2 revised 10 Feb 2026. Published reference: ACM SIGSPATIAL PoIDS 2025; DOI via DataCite and related DOI links are provided.

Rohit Dutta and co-authors have published a paper benchmarking energy savings from speculative decoding strategies and documenting how model size, decoding choices, and dataset characteristics affect energy optimizations.

• Main announcement: The paper titled “Benchmarking the Energy Savings with Speculative Decoding Strategies” (arXiv:2602.09113) presents a comprehensive survey and empirical analysis of the energy requirements of speculative decoding strategies for LLMs, examining model size and family, decoding strategies, and dataset characteristics; the manuscript was submitted 9 Feb 2026 and is available as a PDF and TeX source on arXiv.
• Background and details: The paper is Accepted at EACL Findings 2026; metadata includes an arXiv-issued DOI (https://doi.org/10.48550/arXiv.2602.09113) pending DataCite registration; the work is released under a Creative Commons BY 4.0 license and the arXiv page provides author contact via the show-email link.

Luca Menicali and co-authors have released a revised arXiv paper (v3) presenting a physics-informed spatiotemporal deep learning surrogate model for Rayleigh-Benard convection.

• Main announcement: The paper introduces a physics-informed spatiotemporal surrogate model for Rayleigh-Benard convection that combines convolutional neural networks (for spatial dimension reduction) and an LLM-inspired recurrent architecture (for long-range temporal dynamics); inference is penalized by the governing PDEs to ensure physical interpretability and uncertainty is quantified via a conformal prediction framework. Submission history: v1 posted 16 May 2025, later revisions, v3 posted 9 Feb 2026.
• Background and details: The authors claim the surrogate replicates key turbulent features while significantly reducing computational cost relative to DNS, positioning it as a scalable alternative for long-term simulations; artifacts available include PDF, HTML (experimental), TeX source, and an arXiv-issued DOI (DataCite).

Radib Bin Kabir et al. have published a paper on arXiv (submitted 10 Feb 2026) presenting the first systematic benchmark converting lightweight CNNs into Spiking Neural Networks and introducing a pruned SNN variant (SNN-SqueezeNet-P).

• Main announcement: The paper benchmarks spiking variants of ShuffleNet, SqueezeNet, MnasNet, and MixNet on CIFAR-10, CIFAR-100, and TinyImageNet, reporting that SNNs can achieve up to 15.7x higher energy efficiency than their CNN counterparts while maintaining competitive accuracy; it also introduces SNN-SqueezeNet-P obtained via structured pruning.
• Key results & details: SNN-SqueezeNet-P improves CIFAR-10 accuracy by 6%, reduces parameter count by 19%, and narrows the accuracy gap with CNN-SqueezeNet to only 1% lower while delivering an 88.1% reduction in energy consumption; the paper models activations with LIF neurons and trains using surrogate gradient descent. Submission metadata: arXiv:2602.09717 (v1), submitted 10 Feb 2026; full PDF, HTML, and TeX source available.

Joseph Attieh et al. have posted an arXiv paper presenting a life cycle-aware evaluation of knowledge distillation (KD) for machine translation that quantifies computational cost as a carbon footprint using the MLCA tool.

• Main finding: They evaluate representative KD methods considering both translation quality and computational cost expressed as carbon footprint (MLCA); the assessment covers teacher training, distillation, and inference; empirical results show (i) distillation overhead dominates at small deployment volumes, (ii) inference dominates at scale so KD is beneficial only beyond a task-dependent usage threshold, and (iii) word-level distillation typically offers more favorable footprint-quality trade-offs than sequence-level distillation.
• Paper details and provenance: Submitted to arXiv on 10 Feb 2026 (v1), file size 7,090 KB; includes PDF/HTML/TeX source links and an arXiv-issued DOI (DataCite registration pending); licensed under CC BY 4.0; the paper provides a reproducible protocol and concrete guidance for selecting KD methods under explicit quality and compute-induced constraints.

James Rudd-Jones, Mirco Musolesi, and María Pérez-Ortiz have published an arXiv paper proposing a MARL-augmented framework to synthesize climate policy pathways.

• Main announcement: The paper proposes a framework that augments climate simulations (e.g., Earth System Models) with Multi-Agent Reinforcement Learning (MARL) to directly synthesize policy pathways, and identifies key challenges including reward definition, scalability with increasing agents and state spaces, uncertainty propagation across linked systems, solution validation, and interpretability for policy-makers. It is published in AAMAS’25 Blue Sky Ideas Track, available on arXiv (v3 10 Feb 2026) with DOI https://doi.org/10.48550/arXiv.2504.12777 and licensed under CC BY 4.0.
• Background and details: The paper frames the problem as an inversion of typical policy evaluation workflows (optimizing for policy pathways rather than only assessing them), discusses limitations of traditional optimization for non-linear, heterogeneous-agent systems, and outlines areas for future research and validation. Submission history: v1 17 Apr 2025, v2 14 May 2025, v3 10 Feb 2026.

Christian Buck et al. have published an arXiv paper evaluating a Gemini-based AI environment to support collaborative scientific assessment of the Atlantic Meridional Overturning Circulation (AMOC) stability.

• Main announcement: The paper reports a human-AI collaborative study where a diverse group of 13 climate scientists used a Gemini-based AI environment integrated into a standard scientific workflow to produce a synthesis of 79 papers across 104 revision cycles in just over 46 person-hours; AI-generated content was largely retained, but less than half of the final report was produced by AI and substantial expert oversight was required to reach scientific standards.
• Background and metadata: The manuscript was submitted to arXiv on 10 Feb 2026 (arXiv:2602.09723, v1) under subject Computation and Language (cs.CL), licensed CC BY 4.0; full-text PDF/HTML/TeX and a DOI (https://doi.org/10.48550/arXiv.2602.09723) are provided. The submission record lists Markus Leippold as the submitter (arXiv email view link available).

The authors (Zhenqi Wu et al.) present DREAM, a Vision Language Model (VLM)-guided autonomy framework for long-term underwater exploration and habitat monitoring (arXiv:2509.13666; In Proceeding of ICRA 2026).

• Main announcement: DREAM is proposed as a domain-aware VLM-guided autonomy framework for persistent, wide-area benthic monitoring; reported performance improvements include 31.5% less time vs a previous baseline in an oyster-monitoring task, 23% fewer steps and 8.88% more oysters covered compared to a vanilla VLM, and in shipwreck scenes 27.5% fewer steps and 100% coverage (vanilla: 60.23% average coverage).
• Background and details: The paper motivates deployment by ocean warming and acidification that threaten temperature-sensitive shellfish (oysters); it targets low-cost, long-duration underwater robotic monitoring and demonstrates tasks including oyster monitoring and shipwreck exploration/mapping; the manuscript was submitted to arXiv (v1: 17 Sep 2025) and revised (v2: 9 Feb 2026) and is listed in the ICRA 2026 proceedings.