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The following are initiatives taken by statistical offices to further facilitate and accelerate the advancement of in the use of machine learning and data science, more generally. There are provided as additional references to the WP3 document on integration. The text highlighted in bold blue are links to presentations, web pages or documents describing these initiatives.
Belgium Statistics Flanders data science hub
One of the main strategic pillars of Statistics Flanders is data innovation. A domain that has shown tremendous progress in the last decade is data science. Statistics Flanders looks at leveraging data science techniques in combination with new data source to create new and improve existing official statistics. In order to do this, it is setting up a data science hub.
This hub works on 3 core components:
- Projects: Statistics Flanders is actively identifying data science opportunities to create new or better official statistics. It does this in strong collaboration with different entities of the government.
- Data science education: In order to make sure data science opportunities are identified and leveraged throughout the whole Flemish government, Statistics Flanders is developing a data science course offering. This offering will be a mix of self-organized lecture-style courses and a structured catalogue of existing e-learning resources aimed at all skill levels across a wide range of data science topics.
- Networking: In the Flemish government, but also in its knowledge institutes, industry and abroad, there already exist strong data science capabilities and networks. We actively connect with these networks and establish collaboration and knowledge-sharing opportunities where possible.
Canada Data Science Division
Statistics Canada Data Science Division - Building data science capacity by solving concrete problems (September 2019)
Canada Data Science Network for the Federal Public Service
Welcome to the new Data Science Network for the Federal Public Service (DSNFPS)! Statistics Canada is pleased to launch this network, and looks forward to collaborating with partners as the network continues to grow.
Our vision is to create a vibrant network of data science enthusiasts and to offer a communication space for members to collaborate and learn new skills. At the Government of Canada Data Conference, held in February, we were able to create a list of the challenges related to data science that you are facing and that we would like to address through the development of this network, from pipelines and methods, to infrastructure and tools.
Finland Digitalisation Services
Digitalisation services - Driving innovation @StatsFi (September 2020)
Mexico INEGI Data Science Laboratory
The INEGI Data Science Laboratory (LCiD) is a space built to investigate, develop, and experiment with algorithms that leverage the integration and analysis of various data sources. With the objective of complement or make the institute's statistical and geographic information production more efficient. To carry out these tasks, a multidisciplinary team of experts from various fields: informatics, computer science, and applied mathematics, takes advantage of high-performance computing technologies. The conjunction of these capacities and the collaboration with the different producer areas of the institute will allow the LCiD to contribute to the generation of increasingly precise and timely information to help make decisions for society's benefit. (October 2020)
Netherlands Centre for Big Data Statistics
Three years of Center for Big Data Statistics at Statistics Netherlands - Interim report 2017-2019
Sweden Artificial Intelligence and Machine Learning
Facilitate and accelerate AI and ML at Statistics Sweden
Switzerland Data Science Competence Centre
Since November 1, 2020, the FSO has a new division "Data Science and Statistical Methods" (DSSM) and starting January 1, 2021, it will host the Swiss national "Data Science Competence Centre" (DSCC).
The Federal Council is creating a data science competence centre (May 2020)
Data Science Competence Center (presentation PDF) (October 2020)
Data Science Competence Centre (presentation recorded / YouTube) (October 2020)
Swiss Federal Statistical Office Data Innovation Strategy (2017)
United Kingdom Office for National Statistics Data Science Campus
Overview of the ONS - Cloudera Fast Forward Labs (March 2020)
Data Science Campus - Our first two years (March 2019)