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AI Innovation for Early Warnings for All: Bridging gaps, saving lives, 9 July 2025, Geneva, Switzerland

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This workshop, hosted by the AI Sub-Group of the Early Warnings for All (EW4All) initiative, and part of the AI for Good Global Summit 2025​, served as a platform to highlight AI driven innovations that enhance early warning systems for disasters and extreme weather events. The workshop​ featured presentations from the top finalists of the ​AI for Early Warnings for All Innovation Challenge: Bridging gaps with AI solutions​​, a showcase of country pilots, and discussion sessions focused on the role of AI in ​advancing the EW4All i​nitiative.​​ 

​Registration

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​Date and time

​Location

Agenda and speakers

Session 1 (09:00 – 10:10): Opening and Gaps and Country Pilot Showcases from the EW4All AI Sub-Group

This session featured presentations from the AI Sub-Group of the EW4All initiative, showcasing results from pilot projects that leverage AI to enhance early warning systems. Speakers shared about the main gaps, challenges, and opportunities for scaling these innovations to improve disaster preparedness and response globally.
Welcome remarks (09:00 – 09:10)​​
​Dr Archana G. Gulati, Deputy to the Director, Telecommunication Development Bureau (BDT), ITU​,
on behalf of Dr Cosmas Luckyson Zavazava, Director, Telecommunicatio​n Development Bureau (BDT), ITU (Read the BDT Director's biography at the Director's Corner​)

Ms Ko Barrett, Deputy Secretary-General, World Meteorological Organization (WMO)
Bridging Gaps and Unlocking Opportunities: AI for EW4All (09:10 – 09:20)
​Ms Erica Allis, Senior Programme Manager, WMO

Ms Loretta Hieber-Girardet, Chief, Risk Knowledge, Monitoring and Capacity-Development Branch, UNDRR

Ms Vanessa Gray, Head, Climate and Emergency Telecommunication Division, BDT, ITU

Mr Justin Ginnetti, Senior Officer, Information Management and Risk Analysis, IFRC
Enabling AI-Based Early Warning Systems: The Role of Development Finance and Infrastructure (09:20 – 09:30)
​Ms Sara Ballan, Senior Digital Development Specialist, Co-lead Green Digital Business Line, World Bank
Earth Intelligence for All (09:30 – 09:40)
Dr Sara Venturini, Chief of Member Services, Group on Earth Observations (GEO) Secretariat​
​Harnessing data and AI for better disaster preparedness and response (09:40 – 09:50)
​Mr Andro Kortis, Product Lead, Data Insights for Social and Humanitarian Action (DISHA), UN Global Pulse

Ms Gabriella Crimi, Senior Engagement Manager, McKinsey & Company
​​​Generative AI for Early Warning: Risk and Impact Foresight (09:50 – 10:10)
​Dr David Pastor-Escuredo, CNRS and UCSD
​​​Grouped Audience Q&A and reflections (10:00 – 10:10:)


​All speakers​​

Session 2 (10:10 – 11:05): Finalists from the AI for EW4All Innovation Challenge 

Four finalist teams from the AI for EW4All Innovation Challenge presented their cutting-edge, AI-powered early warning solutions. These presentations highlighted diverse approaches to enhancing disaster preparedness and response. The session concluded with a forward-looking discussion on opportunities for piloting and scaling these innovations. Learn more about the solutions here​.
Team Bibliotechies (10:10 – 10:20)


​Ms Erika Gutierrez, Artificial Intelligence and Mapping Specialist, UNOSAT

Ms Margherita Philipp, Data Scientist, EconAI research group, Fundació d'Economia Analítica (FEA)

Mr Matteo Peduto, MIT Earth Intelligence Lab
​Team DARAJA (10:20 – 10:30)

​Ms Esraa Elgadi, Project Manager, Resurgence

Ms Omnia Shawkat, Founder, Andariya

Ms Dilupa Nanayakkara, Communications and Marketing Lead, Resurgence

Mr Scott Williams, Disaster Risk Management Expert & Resurgence Board Member​
Team Ignitia (10:30 – 10:40:)

​Dr Andreas Vallgren, Co-founder and Chief Science Officer, Ignitia

Ms Theresa Fehle, Strategic Partnership Manager, Ignitia 

Mr Francesco Carnielli, Technical Director, Ignitia
Team DESTSAJ (10:40 – 10:50:)

​Dr Shamima Ferdousi Sifa, Assistance Professor and Climate Resilience Expert, University of Dhaka

Md Asif Rafsan, DRR and EWS Expert 

Mr Tonoy Mahmud, Geospatial Expert, University of Dhaka

Mr M Maruf Alam James, Large Language Model Specialist, University of Dhaka 

Ms Saiyeba Zaman, Community Coordinator, University of Dhaka 

Ms Sadia Afrin Sayfa Negaban, Meteorologist, University of Dhaka
Coffee break & photo taking with Innovation Challenge finalists (11:05 – 11:15)



Session 3 (11:15 – 12:15): AI for Early Warnings in Action and Closing

This session highlighted real-world applications of AI to strengthen early warning systems. It featured two cutting-edge initiatives — from identifying connectivity gaps to flood forecasting at scale — showcasing how AI, satellite imagery, and partnerships are transforming risk communication and climate resilience.
Mapping the Unconnected: Early Warning Connectivity Tool (11:15 – 11:4​5)


​Mr Kevin White, Senior Director of Data Science, AI for Good Lab, Microsoft 

Mr Andrew Zolli, Chief Impact Officer, Planet Labs

Dr Christopher J.L. Murray, Professor; IHME Director; Chair, Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation (IHME)

Mr Chris Emberson, GIS Expert, ITU
AI in Action: Google’s Role in Flood Forecasting and Early Warning for Climate Resilience (11:45 – 12:15)
​Dr Grey Nearing, Research Scientist, Google 

Ms Nina Bekele, Strategic Partnerships Development Manager, Google
Closing (12:15)
​Ms Vanessa Gray, Head, Climate and Emergency Telecommunication Division, BDT, ITU


Expected outcomes

Related resource

For more information on the workshop, visit the workshop's page on the AI for Good Global Summit 2025 website. Click here.​​​​​