Swiss Academy of Humanities and Social Sciences SAHS
Bulletin 2/18 «Sustainable Development Goals» (in German and French)
Die 17 Ziele der UNO-Agenda 2030 für nachhaltige Entwicklung fokussieren sowohl auf soziale, wirtschaftliche und ökologische Aspekte und heben die Wechselwirkungen zwischen diesen Bereichen hervor. Sie betreffen die grossen Herausforderungen der Gesellschaft. Das Wissen und die Kompetenzen der Geistes- und Sozialwissenschaften sind gefragt.
Authors:
Markus Zürcher, Beatrice Kübli, Marlene Iseli, Beat Immenhauser, Franca Siegfried, Lea Berger, Fabienne Jan & Manuela Cimeli
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.