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Swiss Academies of Arts and Sciences a+
Successful Inaugural Meeting of the Sounding Board Researchers
The first meeting of the Sounding Board Researchers took place at the Casino Bern (Salon Bernois). Organized by Olivia Denk (Specialist for Open Science & Secretary of the Board) and Beat Immenhauser (Delegate for Open Science) from the Swiss Academies, 16 members from different disciplines and career levels were inaugurated on 30 November 2022. Within the Swiss National ORD Strategy the Swiss Academies act as one key institution and are responsible for both the organization of the meetings of the Sounding Board Researchers (SB R) and the launch of the ORD Award. The members of the SB R will serve as the Jury for the ORD Award and will contribute to the implementation of the Actions Plan on Open Research Data. The mandate of the SB R includes the advice of the Strategy Council (StraCo) and the Coordination Group (CoG) by adressing their questions and providing recommendations to enable the participation of the research communities in the further development of the Swiss ORD landscape.
Swiss Academy of Engineering Sciences SATW
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‘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
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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
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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.