Swiss Academy of Sciences SCNAT
Neue Züchtungstechnologien: Anwendungsbeispiele aus der Pflanzenforschung
Das Schweizer Parlament hat den Bundesrat beauftragt, eine Zulassungsregelung für Produkte aus neuen Züchtungstechnologien vorzulegen. Eine Vorbedingung für die Zulassung ist, dass diese Produkte der Schweizer Landwirtschaft, der Umwelt oder den Konsumentinnen und Konsumenten einen Mehrwert bieten. Die Akademie der Naturwissenschaften stellt hier fünf Beispiele von Nutzpflanzen vor, die in der Züchtungsforschung mithilfe der Genom-Editierung entwickelt wurden und die auch für die Schweiz von Interesse sein könnten.
Kümin M, Oeschger F, Bearth A, Reinhardt D, Romeis J, Soyk S, Studer B (2023)
Neue Züchtungstechnologien: Anwendungsbeispiele aus der Pflanzenforschung
Swiss Academies Communications 18 (2)
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.