Implementation of the federal government's data science strategy
The federal government is currently implementing a data science strategy, which includes plans to make greater use of methods from the field of artificial intelligence (AI) for policy-making in the Federal Administration. Researchers from ETH Zurich and EPFL are actively involved in implementing the follow-up mandates adopted by the Federal Council. For example, the Federal Statistical Office (FSO), together with other departments and the federal institutes of technology, produced a report identifying specific use cases where data science and AI can be applied for the common good along the policy-making process. The FSO also produced a code of conduct for human-centred and trustworthy data science and AI. This code of conduct uses practical explanations to sensitise the administrative units of the Federal Administration to the basic principles of human-centred and trustworthy data science and AI and to enable them to implement them in their day-to-day work. A concept on the use of data science and AI to safeguard privacy is currently being drawn up. Finally, the Federal Chancellery (Digital Transformation and ICT Steering DTI) and the FDHA/FSO are working with internal federal IT service providers to develop a concept for establishing a collaborative data science platform in the Federal Administration.
Further information
Confederation sets targets for the use of data science (admin.ch)
First measures of the data science strategy implemented (admin.ch)
Status
Start | 2022 |
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End | 2027 |
Responsible
Departments
Partners
Goals
The population and the economy can use digital methods to conduct their business with the authorities
Domains
Infrastructure
Public authorities promote and operate reliable and resilient physical and digital infrastructure.