Swiss Academies of Arts and Sciences a+
Code of conduct for scientific integrity
A group of experts with representatives from the Swiss Academies of Arts and Sciences, the Swiss National Science Foundation, swissuniversities and Innosuisse has drawn up a new code of conduct for scientific integrity. The principles of reliability, honesty, respect and accountability form the core of the new code. These values help strengthen a culture of scientific integrity in the long run. One of the chief aims of the code is, to improve scientific integrity in all aspects of research and teaching, in particular in the training and promotion of young scientists. The code takes into account current developments in the areas of open science and social media, in addition to, shedding light on the issue of statutes of limitations.
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.