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Data Science Methodologies for Environmental and Climate Surveillance and Monitoring from a One Health and Participatory Perspective
Applications:
January 19, 2026 to January 23, 2026
Offering Period:

February 2, 2026 to February 6, 2026

Target Audience

Post-Graduate students interested in the One Health approach, Data Science, and Participatory Approaches, with good comprehension in English

Presentation

This international course introduces students to data science methodologies and participatory approaches applied to environmental, climate, human, and animal health surveillance within the One Health framework. The course emphasizes the integration of advanced technological tools—such as satellite monitoring, geospatial analysis, and environmental data science—with community-based participatory methods to enhance resilience, preparedness, and adaptive capacity in the context of climate change. Grounded in concrete field experiences, the course presents case studies from Southern Kenya—particularly the Amboseli ecosystem—where Maasai pastoralist communities actively participate in environmental and animal health monitoring initiatives developed in partnership with the African Conservation Centre. In parallel, the course explores surveillance and monitoring experiences from international border regions in Brazil and Kenya, developed through South–South and North–South scientific collaboration under the MOSAIC Project (Multi-site Application of Open Science in the Creation of Healthy Environments Involving Local Communities), funded by the European Union. Through lectures, debates, and interactive discussions with Brazilian, African, and European researchers, students will gain both conceptual and methodological insights into the practical implementation of One Health in diverse socio-ecological contexts.

Number of Places Available: 60 places (25 in-person and 35 remote)

Modality: In-person with live streaming.

Total Workload: 20 hours.

Target Audience: Post-Graduate students interested in the One Health approach, Data Science, and Participatory Approaches, with good comprehension in English.

Selection Process: Submission of the required application documents, namely: a letter of intent, proof of enrolment in a post-graduation program in areas related to public health and/or environmental sciences, and certificate of at least intermediate level English. In the event of an excess number of applications, candidates with a higher level of academic training will be prioritized. Of the 60 available places, 25 will be allocated to in-person participants and 35 to remote participants.

Prerequisites: Enrolment in a Fiocruz (Brazil) post-graduate program or institutions of countries participating in the MOSAIC Project (Kenya, Tanzania, France, Portugal, and Poland).

Course Location:
Room A9, Leônidas Deane Pavilion
Fiocruz Manguinhos Campus
Map