IAI Directorate Report to the Twenty Fourth Conference of the Parties
Summary
The IAI Directorate report details the closure of the SGP-CRA program, which leveraged US$ 26 million to advance research on oceanography, cyclones, and hydrology, influencing legislation in Argentina and risk reduction in the Caribbean. It also highlights the ongoing CRN3 program, which employs interdisciplinary approaches and agent-based modeling to address global change, and the initiation of CONICET-IAI projects in Argentina. The report emphasizes the importance of early-stage interdisciplinarity and the development of an Inter-American Forum for Cooperation in Global Change Research to create a multilateral funding mechanism.
Key insights
- The Small Grants for Collaborative Research in the Americas (SGP-CRA) concluded in December 2015, involving 76 researchers from 53 institutions across 13 IAI member countries. The program focused on South Atlantic oceanography, tropical cyclones, hydrology and water security in Andean drylands, land use, and tropical dry forest ecology.
- SGP-CRA research led to tangible policy and legislative outcomes, including the passing of the Law for the Protection of Glaciers and the Law for Marine Conservation in Argentina. Other applications included real-time hurricane forecasts for Baja California and a coastal risk reduction index for 25 Caribbean countries.
- The SGP-CRA program demonstrated high financial leverage, securing US$ 26 million in total funding from an initial grant investment of US$ 2,750,000. Between 2012 and 2015, the program provided scholarships to 197 students totaling US$ 847,979.58, with an additional 400 students participating in workshops.
- The Third Collaborative Research Network Program (CRN3), running from November 2012 through 2018, consists of 17 international research networks involving 17 PIs, 95 co-investigators, and 90 institutions from 15 member countries. It has leveraged US$ 23.5 million in additional funding and provided scholarships to 264 students (US$ 929,198).
- CRN3 has advanced interdisciplinary science by integrating social science tools, agent-based modeling for disease simulation (e.g., malaria, dengue), and stakeholder involvement. This approach resulted in practical outcomes, such as the reopening of the yellow clam fishery in Rocha, Uruguay, through a fisheries co-management program.
- In 2015, the Argentinean Scientific Research Council (CONICET) established a US$ 200,000 fund to supplement CRN3 activities. The IAI selected 7 projects focusing on marine, terrestrial, and atmospheric global change issues to be monitored from January to December 2015.
- The IAI is promoting the Inter-American Forum for Cooperation in Global Change Research to establish a multilateral funding mechanism based on the Belmont Forum model, aiming to expand beyond current NSF-funded grants.
Cite the original document
- APA
- Inter-American Institute for Global Change Research (n.d.). IAI Directorate Report to the Twenty Fourth Conference of the Parties. https://archive.iai.int/admin/site/sites/default/files/iai-cop-24-science-report-e.pdf
- Chicago
- Inter-American Institute for Global Change Research. IAI Directorate Report to the Twenty Fourth Conference of the Parties. n.d. https://archive.iai.int/admin/site/sites/default/files/iai-cop-24-science-report-e.pdf.
- Wikipedia
- {{cite report |author=Inter-American Institute for Global Change Research |title=IAI Directorate Report to the Twenty Fourth Conference of the Parties |url=https://archive.iai.int/admin/site/sites/default/files/iai-cop-24-science-report-e.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{interamericaninstituteforglobalchangeresearchndiai, author = {{Inter-American Institute for Global Change Research}}, title = {{IAI Directorate Report to the Twenty Fourth Conference of the Parties}}, institution = {Inter-American Institute for Global Change Research}, url = {https://archive.iai.int/admin/site/sites/default/files/iai-cop-24-science-report-e.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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