The effects of climate change on the coastal communities of Mexico demand the application of adaptation strategies. Artisanal fishing plays a fundamental social and economic role in these communities. The understanding and acceptance that local fishermen have of climate change information and their perceptions of environmental change will shape and influence the implementation of policies; the experiences of fishermen may also help inform the adoption of new policies. This project analyzes how climate change science and adaptation strategies are framed by the communication media.
CEDO is a platform that analyzes available information about climate change. It applies emotional analysis and Latent Dirichlet Allocation (LDA) for the modeling of issues to infer different subjects of discussion. The modeling of issues shows that the different lines of discussion about climate change are diverse, yet some issues are more frequent than others. The results may serve as a basis for existing planning efforts that consider the impacts of climate change in the design of actions and resource management tools.
CEDO provides the analysis of climate change information in two formats (i.e. two products): 1) a scientific manuscript with data analysis results; 2) a dashboard that can be used for classifying texts with a trained model.
México
(1) Departamento de Ciencias Marinas y Costeras, Universidad Autónoma de Baja California Sur. (2) Udall Center for Studies in Public Policy, University of Arizona (3) Departamento de Ecología Marina, Centro de Investigación Científica y de Educación Super
En conjunto con la OECD publicamos el manual de ciencia de datos, el cual busca proveer recomendaciones técnicas a los equipos desarrolladores de sistemas de IA.
The Regional Landscape and 12 Country Snapshots
Automated decision support systems (ADS) are machine-based systems that can make predictions, recommendations, or decisions influencing real or virtual environments for a given set of human-defined objectives.