Informe interno sobre la Evaluación Regional del IAI

The IAI Regional Assessment (ER-IAI) employs a co-production model to bridge the gap between scientific knowledge and policy decision-making in the Americas. By utilizing a seven-stage iterative methodology—including surveys, interviews, and policy analysis—the ER-IAI aims to identify specific information needs of governments to guide IAI's research funding and capacity-building priorities. The process seeks to move beyond linear 'push' or 'pull' models of science-policy interaction, instead fostering a multidirectional exchange to ensure scientific output is both feasible to produce and usable for policymakers.

• The IAI identifies three primary models of science-policy interaction: a 'science-push' model where scientists drive the agenda, a 'demand-pull' model where policymakers commission specific research, and a 'co-production' model where research agendas are iteratively shaped by both producers and users of knowledge.
• Based on a review of cases in the Global South and Latin America, the IAI concludes that the co-production model is most effective for creating usable, policy-relevant knowledge, as policy formulation is a non-linear, multi-sectoral space influenced by power relations, values, and interests rather than just technical information.
• The ER-IAI is designed as a 'boundary spanning' activity to reconcile the supply and demand of science by identifying knowledge that is both necessary for government decisions and feasible for the scientific community to produce.
• The implementation of the ER-IAI follows a flexible seven-stage methodology: 1) scoping workshops, 2) information sessions, 3) survey distribution, 4) follow-up interviews, 5) sub-regional exchange sessions, 6) policy analysis, and 7) information needs mapping.
• As of April 2022, the first two stages of the ER-IAI were complete, and the third stage (survey distribution) was concluding, with 14 member states having completed the survey at the time of the report.
• The ER-IAI survey collects data on priority work areas (such as food, water, and energy security), types of decisions made, the use of scientific information in policy, and cross-border collaborations.
• The final results of the ER-IAI will be used to guide IAI's science funding priorities, inform capacity-building activities, and facilitate collaboration between member states with similar needs.

APA

Inter-American Institute for Global Change Research (2022). Informe interno sobre la Evaluación Regional del IAI. https://archive.iai.int/administrador/assets/images/ckfinder/files/IAI-CoP-30-11d1anexo-es.pdf

Chicago

Inter-American Institute for Global Change Research. Informe interno sobre la Evaluación Regional del IAI. 2022. https://archive.iai.int/administrador/assets/images/ckfinder/files/IAI-CoP-30-11d1anexo-es.pdf.

Wikipedia

{{cite report |author=Inter-American Institute for Global Change Research |title=Informe interno sobre la Evaluación Regional del IAI |date=22 April 2022 |url=https://archive.iai.int/administrador/assets/images/ckfinder/files/IAI-CoP-30-11d1anexo-es.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{interamericaninstituteforglobalchangeresearch2022informe, author = {{Inter-American Institute for Global Change Research}}, title = {{Informe interno sobre la Evaluación Regional del IAI}}, institution = {Inter-American Institute for Global Change Research}, year = {2022}, month = apr, url = {https://archive.iai.int/administrador/assets/images/ckfinder/files/IAI-CoP-30-11d1anexo-es.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }