{"componentChunkName":"component---src-templates-eventdetail-js","path":"/events/civicsabha-2/climate-data-ai-collaboratives/","result":{"data":{"markdownRemark":{"id":"33e112bd-a113-56b8-8662-b729d48c022a","html":"","frontmatter":{"name":"CivicSabha 2.0 - Harnessing Climate Data & AI Collaboratives for Timely Risk Reduction","summary":"","context":"As flood and coastal risks intensify and intersect with livelihoods, agriculture, infrastructure, and public finance systems; institutions require integrated data ecosystems that combine historical risk analysis, real-time monitoring, scenario modelling, and financial risk analytics. The session focused on the role of data collaboratives in enabling such ecosystems sharing open climate, disaster, infrastructure, vulnerability and exposure data to support AI-enabled decision-support and risk-financing systems. CivicDataLab (CDL) and [Agence Française de Développement (AFD)](https://www.afd.fr/en) convened a roundtable discussion \"Harnessing Climate Data & AI Collaboratives for Timely Risk Reduction\" as part of [CivicSabha 2.0](https://www.civicsabha.in/). It brought together policymakers, international organisations, researchers, technologists, and civil society practitioners to explore and examine how open climate and disaster data can be operationalised to move Disaster Risk Reduction (DRR) systems towards anticipatory, adaptive, and evidence-based action.\n\nThe session started with Golestan Sally Radwan, [United Nations Environment Programme](https://www.unep.org/), followed by opening and special remarks by Ratnesh Jha, Ocean Centres India - UNGCNI and Nishant Thakur, Additional Secretary (Rev-DM-I)-cum-Project Director (PMU) - [HPDRRP](https://himachal.nic.in/), Government of Himachal Pradesh respectively. Muntasir Hashim, [Lloyds Register Foundation](https://www.lrfoundation.org.uk/programmes/the-maritime-just-transition-taskforce?gad_campaignid=20922328011&gbraid=0AAAAABv9AN7UpT1zBi45n7VWfNQUzUoXE) led the conversation on global perspectives.\n","aim":null,"solution":null,"url":"","github":null,"twitter":null,"linkedin":null,"youtube":"","facebook":null,"newsletter":null,"resources":[{"link":"https://drive.google.com/file/d/1XZ3-qxnn7sBYrzdwbn8pciiqtxPoh8gM/view?usp=sharing","title":"Roundtable Report: Harnessing Climate Data & AI Collaboratives for Timely Risk Reduction | CivicSabha 2.0","type":"Report"}],"image":{"childImageSharp":{"fluid":{"base64":"data:image/jpeg;base64,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","aspectRatio":1.5,"src":"/static/848dd76dc9f547f65a3ca2c12aed89fc/0ff54/round-t2_2.jpg","srcSet":"/static/848dd76dc9f547f65a3ca2c12aed89fc/88b18/round-t2_2.jpg 300w,\n/static/848dd76dc9f547f65a3ca2c12aed89fc/c3638/round-t2_2.jpg 600w,\n/static/848dd76dc9f547f65a3ca2c12aed89fc/0ff54/round-t2_2.jpg 1200w,\n/static/848dd76dc9f547f65a3ca2c12aed89fc/b53a4/round-t2_2.jpg 1800w,\n/static/848dd76dc9f547f65a3ca2c12aed89fc/28480/round-t2_2.jpg 2400w,\n/static/848dd76dc9f547f65a3ca2c12aed89fc/39dd0/round-t2_2.jpg 6000w","sizes":"(max-width: 1200px) 100vw, 1200px"}}}}},"partners":{"nodes":[]}},"pageContext":{"id":"33e112bd-a113-56b8-8662-b729d48c022a","nameRegex":"/CivicSabha 2.0 - Harnessing Climate Data & AI Collaboratives for Timely Risk Reduction/"}},"staticQueryHashes":["1208380572","203280391","2269431855","2668793990"]}