Akademie der Naturwissenschaften Schweiz SCNAT
Biology Roadmap for Research Infrastructures 2025-2028 by the Swiss Biology Community
This community roadmap expresses a vision for the future development of biological research in Switzerland and the infrastructure needs identified to realise this vision. It describes four dedicated network infrastructures with a common challenge of comprehensive data exploitation. The roadmap represents the view of the Swiss scientific community in the field of biology and is a formal element of the process to elaborate the Swiss Roadmap for Research Infrastructures 2023. This bottom-up contribution to the identification and selection of important national and international research infrastructures has been coordinated by the Swiss Academy of Sciences (SCNAT) on a mandate by the State Secretariat for Education, Research and Innovation (SERI).
Brunner D, Durinx C, Erb M, Fischer M, Hari Y, Jazwinska A, Leeb T, Reymond C, Scheidegger C, Stieger P, Studer B, Vergères G, Walter A (2021)
Biology Roadmap for Research Infrastructures 2025–2028 by the Swiss Biology Community
Swiss Academies Reports 16 (2).
Akademien der Wissenschaften Schweiz a+
Biodiversität in der Schweiz verstehen und gestalten
Der vorliegende Bericht stellt den Zustand und die Veränderungen der Biodiversität in der Schweiz übersichtlich und differenziert dar. Gestützt auf Daten, Studien und Expertenwissen beschreibt er, wie sich die biologische Vielfalt in den verschiedenen Lebensräumen entwickelt hat. Der Fokus liegt auf den Veränderungen in den letzten 15 Jahren. Der Bericht zeigt zudem, welche Faktoren die Biodiversität derzeit am stärksten beeinflussen und welche Ereignisse in Politik und Gesellschaft dafür wichtig waren. Und er legt dar, wie wir die Weichen stellen können, damit kommende Generationen eine reichhaltige und funktionsfähige Biodiversität als Lebensgrundlage vorfinden.
Junge Akademie Schweiz JAS
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.
Junge Akademie Schweiz JAS
Innovative Teaching Formats at the Science-Society Interface: Reflections and Future Directions in Swiss Higher Education
Science-society dialogue is crucial for addressing pressing societal challenges. One important avenue for strengthening this link, in an inter- and transdisciplinary perspective, is teaching formats that encourage students to engage in the public sphere. However, an illustrative collection of best practices in Swiss higher education has been lacking so far. This practice-driven report draws on a non-exhaustive stocktake of existing courses in Switzerland and participatory workshops among lecturers. It features illustrative examples from Swiss higher education institutions and introduces a new typology of science-society teaching formats, offering educators a structured way to design and analyze courses across six dimensions. In addition, the publication discusses both the opportunities and challenges of implementing such teaching formats. To further advance science-society education, the report identifies three priority areas for action.