Date

Attendees

Goals

  • Climate Change Impact WMO internal collaboration

Discussion items

TimeItemWhoNotes
BackgroundSaeid
  • Hydrology and Climate Change Background
  • IT C++ programming skills
  • ETH and Zurich Uni, Oxford Affiliation: NLP for Sustainable Finance
  • ChatClimate learning IPCC reports
  • G3W ChatBot backend 
  • Part of ChatWMO
  • Mon-Wed 50% staff at WMO, 25 % U Zurich Banking, 25% U Zurich Geography

  • Links that I presented during our meeting:

    • ChatClimate Initiative: Grounding conversational AI in climate science ChatClimate

    • Paper: Grounding Conversational AI in Climate Science

    • Chat Report:  Project, Analyzing of corporate sustainability reports by benchmarking them against the Task Force for Climate-Related Financial Disclosures (TCFD) recommendations (I also attached a sample report with which you can test the app).

    • Chat Report Paper: Chat Report Paper A sample report with which you can test the platform

    • ChatEnergy Prototype: Project , A Multi-Retrieval Augmentation Systems Prototype (alpha version only with 32 PDFs) developed for UNECE and WMO to show how different sources can be utilized. ChatEnergy

    • ChatWMO prototype in late February among small group of colleagues at WMO to receive feedback 




 Gp

Action items