Other Workshop on advanced methods for climate-health research

17-11-2026 9:00 am to
18-11-2026 4:00 pm Add to iCal
Campus Solna

This two-day workshop offers an in-depth exploration of how climate extremes and climatic factors influence population health. Participants will gain hands-on experience with epidemiological and biostatistical methods relevant to climate-health research, building strong methodological foundations to apply in their own work.

Description

This is a follow-up workshop to the one held in 2025, introducing new topics and methods. Participants who attended the 2025 edition are welcome to apply again.

Over two days, participants will:

  1. Review the latest evidence on the health impacts of climate extremes.
  2. Understand why studying these impacts is critical for public health.
  3. Learn to identify, measure, and model the health effects of environmental stressors, gaining robust methodological skills for their own research.

Target group

  • PhD students, postdoctoral researchers, and research assistants (particularly those based in Sweden).
  • Applicants from diverse academic backgrounds including medical, social, climate, and data sciences are encouraged to apply.
  • Master’s students with relevant backgrounds may also apply.
  • Intermediate R skills are essential for the hands-on sessions.

Application

  • The workshop is free to attend and covers all sessions.
  • Intermediate knowledge of R is required.
  • Applications from outside Sweden are welcome.
  • Application deadline: 20 May 2025
  • Workshop dates: 17–18 November 2026 (9:00-16:00, tentative)

Please note: For application and more information about the workshop visit the workshops web page

Organizers

The workshop is organized and funded by the Department of Global Public Health at Karolinska Institutet and the Swedish Centre for Impacts of Climate Extremes (climes) in collaboration with Human Technopole (Zuccolo Group - Human Technopole).

Contact

Edoardo Pavoni

Project Assistant
Department of Global Public Health