Swiss Academies of Arts and Sciences
Health inequalities research: new methods, better insights?
A new generation of scientific methods can contribute to reducing health inequalities in Europe are helping to better understand health inequalities in Europe. Fully realising this potential will require investment in data infrastructures, according to a new report by European science academies. The Covid-19 pandemic struck disadvantaged groups in society most severely. As a result, this has widened the health gap between socio-economic groups. It is therefore more important than ever to better understand these inequalities as an adequate basis for corrective policy measures. The report was drafted by researchers from the All European Academies (ALLEA) and the Federation of European Academies of Medicine (FEAM).
Swiss Academies of Arts and Sciences a+
STEM 2026: Where Switzerland stands today
Twelve years on from the first STEM Youth Barometer, the new 2026 edition reveals that interest in STEM has remained largely stable, stereotypes persist, and women underestimate their own abilities. At the same time, the findings are more nuanced than expected and point to clear areas for improvement.
Swiss Academy of Sciences SCNAT
Beyond the transaction: commodity trade and sustainable development
This factsheet maps the sustainability links of commodity trade, identifies knowledge gaps, and outlines options for commodity hubs, including Switzerland, to reduce economic, environmental and social sustainability risks.
Swiss Young Academy SYA
Impact of AI on Early Career Researchers: Challenges, Opportunities and Responsibilities
Artificial Intelligence (AI) is rapidly transforming science and is therefore profoundly reshaping the work of Early Career Researchers. Against this backdrop, the publication Impact of AI on Early Career Researchers: Challenges, Opportunities, and Responsibilities, developed by members of the Swiss Young Academy, namely Emmanuel Senft, Sabrina H. Kessler, Pamela Delgado, Devi Bühler, and Alexandre Bovet, offers a timely interdisciplinary reflection on these changes. The booklet examines both the opportunities and risks of AI across five key areas – research, teaching, science communication, policymaking, and sustainability – while also addressing critical issues such as research integrity, data privacy, misinformation, governance, and environmental impact. It further highlights the responsibilities of Early Career Researchers and higher education institutions in promoting AI literacy, transparency, ethical standards, and responsible use of AI in science.