Swiss Academy of Humanities and Social Sciences SAHS
Big Data in der Lehre in den Sozialwissenschaften. Schlussbericht im Auftrag der Schweizerischen Akademie der Geistes- und Sozialwissenschaften
SWISS ACADEMIES COMMUNICATIONS, VOL. 14. NO 9, 2019
Der Bericht basiert auf einer Online-Befragung von rund 400 Mitarbeiterinnen und Mitarbeitern an Schweizer Universitäten und Hochschulen, die in der sozialwissenschaftlichen Forschung und Lehre tätig sind: Er zeigt, dass in den Sozialwissenschaften und verwandten Disziplinen Big Data häufiger in der Forschung als in der Lehre Verwendung findet. In der Lehre ist Big Data zwar ebenfalls angekommen, jedoch nicht hinreichend institutionalisiert und wenig auf die akademischen Curricula abgestimmt.
Es sei an der Zeit, den Mehrwert von Big Data «aufzuzeigen sowie die Kombination von unterschiedlichen Datentypen und weiteren möglichen Forschungsdesigns zu thematisieren», schreiben Markus Zürcher und Peter Farago in der Einführung zum Bericht.
Schweizerische Akademie der Geistes- und Sozialwissenschaften (2019) Big Data in der Lehre in den Sozialwissenschaften. Swiss Academies Communications 14 (9). DOI: https://doi.org/10.5281/zenodo.3457816
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.