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Welcome to the Data Science Competence Center’s blog!

We blog on subjects of interest to our Data Science and AI for Public Good community.

Published articles

08.09.2023

Improving the quality of traffic statistics

The project to improve the quality of traffic statistics is currently being carried out within the Data Science Competence Center (DSCC). The aim of this project is to provide Federal Roads Office (FEDRO) staff using the VMON application for traffic monitoring with more reliable data on the traffic load of Switzerland's national roads.

23.05.2023

StatBot.swiss: discussions with open data

The StatBot.swiss project strives to develop a chatbot able to interact with the Swiss public administration's open data in question and answer format. A prototype of the chatbot is planned for the end of 2023.

27.02.2023

The importance of data visualisation

Data visualisation is an essential part of any data science process. It helps to facilitate understanding of data in their entirety and makes the process of data analysis more intuitive for professionals, researchers and the general public.

11.11.2022

The Use of Mobility Data in Public Health Emergencies

This blog post provides a brief overview of the importance of mobility data in public health emergency management. This topic was the subject of a report published under the same name by CrisisReady.

The QuizzerLand team won the "Make Climate Change Tangible for Swiss Citizens" challenge

31.10.2022

HackZurich: improve understanding of climate change

The Data Science Competence Center (DSCC) teamed up with the Federal Office of Information Technology, Systems and Telecommunication (FOITT) to propose the "Make Climate Change Tangible for Swiss Citizens" challenge for the 2022 edition of HackZurich, from 16 to 18 September. The challenge consisted in finding solutions to improve the public's interaction with climate data.

05.07.2022

Conducting data science projects

Each data science process (e.g. innovation project) can be divided into a series of distinct steps, carried out by professionals from different backgrounds. A particularly careful approach to each stage of this iterative process within a team ensures that the model obtained at the end of each process is more effective.

05.07.2022

Swiss public data science ecosystem

In order to promote the responsible application of data science and artificial intelligence (AI) in Swiss public administrations, the Federal Council has created the Data Science Competence Centre (DSCC) and the Competence Network for Artificial Intelligence (CNAI).

03.03.2022

Data Science for public good

The Data Science Competence Center (DSCC) provides services to the entire Swiss public administration while adhering to the values of the Rule of Law.

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