An in depth look at the government pioneers of data analytics.

What can we learn from them?

How can we scale up data driven public services across Europe?

Read more
About:
all policy domains

Study on data tools and technologies used in the public sector to gather, store, manage, process, get insights and share data

This study covers new architectures, frameworks, tools and technologies to be used by public administrations to gather, store, manage, process, get insights and share data. This domain includes the…

tools technologies data sharing
0
discussion

Study on informed public policy-making on base of policy modelling and simulation

This study looks at the usage of policy modelling and simulation. It includes 5 cases plus a meta-review of models used to predict the Covid-19 epidemics. See the report and the annex with in depth…

public policy-making policy modelling policy simulation Covid-19
0
discussion

Study on public sector data strategies policies and governance

This study deals with the issue of data strategies and governance. This includes initiatives in the public sector both at the strategic level, such as data strategies, data governances and data…

public sector data strategies data governance data strategy
0
discussion

Virtual Town Hall Meeting - Citizen Data in Focus: Machine Learning and Data Analytics for Citizen Support and Government Savings

event

BLOG 14: Blog post: NZ, The Integrated Data Infrastructure (IDI)

Harnessing public data value by focusing on user’s needs The IDI has been described internationally as a success for New Zealand, and an exemplar for other countries to learn from in terms of getting…

0
discussion

BLOG 13: LED it be. Connecting data initiatives in the Netherlands

One of the key governance themes addressed in the study ‘Data Analytics for Member States and Citizens is about the axis centralisation-decentralisation. Which functions to become a data-driven…

Netherlands Data-driven policy Knowledge exchange
2
discussion

BLOG 12 – Findata

Finland has a long history of collecting extensive data in registers but making use of the data has been complicated and inefficient, due to several causes, including the privacy restrictions and the…

0
discussion

BLOG 11 - Building a data strategy across government, the New Zealand Data Framework

Cross-government initiatives have been a response to the need to adapt to the digital era, where data creation increases at an exponential rate and there is an increasing expectation and demand for…

0
discussion

BLOG 10 - Estonian Tax and Customs Board – Analytics solution for fraud detection – KOKE system and automated risk models

EMTA (Eesti Maksu- ja tolliametile) is the Estonian Tax and Customs Board. The Estonian Tax and Customs Board’s activities include administration of state revenues, implementation of national taxation…

0
discussion

BLOG 9 - The Greenhouse gas Air pollution Interactions and Synergies (GAINS) model

Current and future economic growth will cause serious air quality problems, negatively impacting human health and crop production, unless further air pollution control policies are implemented…

0
discussion

BLOG 7: Challenges in the World Energy Model

Since 1993, the International Energy Agency (IEA) has provided medium- to long-term energy projections using the World Energy Model (WEM). The model is a large-scale simulation model designed to…

0
discussion

BLOG 8: Welfare Fraud Analytics in Denmark: beneficial for all?

The use of data analytics in the fight against welfare benefits fraud can be very beneficial for government. In Denmark, a specialised unit, the Data Mining Unit, was established in 2015 to use data…

Data analytics Welfare benefits Welfare fraud and error Denmark Human rights
0
discussion