Cover Image for (re)Taking Control Of Data For Climate Action? Building Community-Driven Data Collaborations for Climate Justice and Resilience
Cover Image for (re)Taking Control Of Data For Climate Action? Building Community-Driven Data Collaborations for Climate Justice and Resilience
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(re)Taking Control Of Data For Climate Action? Building Community-Driven Data Collaborations for Climate Justice and Resilience

Hosted by Jean-Noé Landry
Registration
Welcome! To join the event, please register below.
About Event

As climate impacts intensify, frontline communities—from coastal towns facing sea-level rise to neighborhoods battling urban heat—are generating data about risks, solutions, and lived realities. Yet too often, this knowledge is locked away, fragmented, or extracted without consent and accountability.

This conversation asks: What would it look like if communities owned, governed, and shared their climate and adaptation data on their own terms?

I am developing a Community-Driven Data Collaboration Toolkit with the Obama Leaders Network to support local leaders and organizations in setting up fair, transparent, and impactful data partnerships. The toolkit offers templates for: community data agreements that protect community sovereignty, collaboration workflows that balance power across partners, stewardship models that make climate data actionable for resilience planning.

Through a participatory dialogue, we will: Surface challenges you’ve faced around climate data (access, trust, equity). Explore examples of “good” vs. “bad” data collaborations. Co-imagine principles for community-driven data governance that could inform the Toolkit.

Why join? If you’re from a city, NGO, research institute, or community group, you’ve likely struggled with questions of trust, access, and power in climate data. Help shape a resource that communities worldwide can use to negotiate fairer and more effective collaborations, while defending digital rights.

Location
The Bench
49 Elizabeth St, New York, NY 10013, USA
2 Going