Events & Engagements
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SONAR BANGLA PODCAST
Quarterly
Join the Project Sonar Bangla Substack to receive a quarterly dose of the work that collaborators are doing in the Sundarbans.
visithttps://sonarbangla.substack.com/
visithttps://sonarbangla.substack.com/
COP 31
Nov 13-17, ANTALYA, TURKEY
Come join Dr. Ravela at COP 31, where he will present his work on locally led adaptation, cross-scale connections, and bottom-up and top-down flows, within a participatory, anticipatory decision-making framework using games.
TIE Global Summit
December 13-15, 2026
Join Sai Ravela at the TIE summit to network on Building an Earth Adaptation & Resilience Industry Across Scales, From Locally-led Adaptation to Global Institutions and Back, a unique ERI-centered theme
https://tieglobalsummit.org/
https://tieglobalsummit.org/
Adaptation Center Seminar
October 30, IIT Delhi
Join Dr. Ravela at the Adaptation Center seminar to hear about his Computational Sustainability stack, connecting climate extremes to climate adaptation from local scales to global institutions and back in a community-first participatory and anticipatory framework for disaster risk reduction
Water Resilience Forum
Nov 12, Chulalongkorn University, Bangkok, Thailand
Join Sai at Chulalongkorn University to understand the changes in flood risk faced by Bangkok under climate change. Would a 100-year flood turn into a 10-year flood? What does that mean for this low-lying city?
Risk and Resilience Dialogue
Jan 24-26, Dhaka, Bangladesh
Join us at the ICWFM conference to hear and see the birth of Sonar Bangla Resilience solutions, a sister organization that connects locally led adaptation to governance and national planning
The Future of Water
October 29, Bangkok
Join Sai Ravela for an incredible talk and conversation on new frontier technologies developed by ERI partners and collaborators for modeling, climate risk, and adaptation
AI and Hydroclimatic Extreme Risk
Feb 24-25, Tempe, Arizona
Artificial intelligence has transformed weather and
hydroclimate forecasting. Earth-system AI/ML models now match or exceed operational numerical models on many tasks, at a fraction of the computational cost.
But for the extreme events that drive the largest climate impacts, e.g., storms, floods, droughts, heatwaves, and compound hazards, event forecast skill isn't enough. What can we do about it? Come hear our perspective.