Call for AGU Abstracts: SY01: Data Co-Production at Scale: How Might We Co-Produce Social Indicators with Geo-Statistcal Models? (Due 7/31/2024)
Posted: 7/25/2024 ()
The AGU Fall Meeting 2024 will be held in Washington, DC from December 9-13, 2024. The abstract submission deadline is July 31, 2024. We welcome your submission to the following session.
Session ID: 228351
Session Title: SY017: Data Co-Production at Scale: How Might We Co-Produce Social Indicators with Geo-Statistical Models?
Section: Science and Society
Submission link: https://agu.confex.com/agu/agu24/prelim.cgi/Home/0
Session Description: Modeled social indicators (e.g. population density, neighborhood poverty) at finescale are increasingly common and necessary to address priorities of dynamic, interconnected societies. Geo-statistical models require ground-“truthed” training and/or validation data. Many social and physical scientists are unconvinced that local stakeholder engagement (bottom-up) methods are compatible with modeled/scaled data production (topdown). After all, how can we meaningfully engage every community being modeled? This session challenges the notion that top-down and bottom-up data production methods are mutually exclusive. Speakers describe approaches for modeled data co-production at scale, and posit that co-production is even necessary to model social indicators so as to ensure outputs are: relevant (reflect local realities), valid (sufficiently accurate and complete at the right scale), impactful (generate new insights among the right stakeholders), and just (marginalized communities are centered and protected throughout). Presenters discuss their methods, partnerships, and other ingredients for scalable data co-production, and the value-added of these approaches.
Additional information:
- Travel Grants are available for faculty from a typically under-resourced US institution attending AGU for the first time
- Note the following non-refundable fees upon abstract submission: $70 USD for each regular submission, $40 USD for each student submission, no fee for individuals residing in qualifying LMICs