We are the largest scientific network in Switzerland and provide advice to policy-makers and society on knowledge-based and socially relevant issues. About us

News

Swiss Academies of Arts and Sciences a+

STAAR Commission: transparency in research using animals

In June, swissuniversities has created the STAAR Commission – Swiss Transparency Agreement on Animal Research. The Commission will support the institutions involved with research using animals in their communication with the public. Signatory organisations report regularly on their progress towards greater transparency.

 

Organisations that join STAAR commit to communication and transparency regarding the use of animals in research. Concrete objectives are defined each year. To date, STAAR brings together 24 organisations.

  • Swiss Academy of Engineering Sciences SATW

    News

    ‘The future is by no means set in stone’ – Vice-Chancellor Rachel Salzmann on Switzerland in 2040

    What will Switzerland look like in 2040? In its report ‘Perspectives for Switzerland 2040’, the Federal Chancellery outlines three possible futures and derives six areas for political action from them. In an interview with the SATW, Vice-Chancellor Rachel Salzmann explains why the future is by no means set in stone, why she describes the scenarios not as bleak but as challenging, and where Switzerland could take a leading role in technology.
  • Swiss Academy of Engineering Sciences SATW

    News

    Fair data use starts with asking the right questions

    Data helps businesses to better understand their target groups and tailor their offerings more effectively. However, not everything that is technically possible is also responsible. How can SMEs ensure that they use data fairly and transparently? The Data Fairness Label from Swiss Insights offers practical guidance on this.
  • Swiss Academy of Engineering Sciences SATW

    News

    Machine learning demystified: understanding superhuman performance

    Artificial intelligence can outperform humans in certain tasks. But how meaningful are such achievements, and where are the limits? The key factors are the quality of the training data, realistic performance tests and the transparency of the results. What businesses need to know to deploy AI systems reliably.
more

Contact

Swiss Academies of Arts and Sciences

House of Academies
Laupenstrasse 7
P.O. Box
3001 Bern