European Big Data Hackathon 2027

EUROPEAN BIG DATA HACKATHON 2027

visual identity

KEY DATES

The Hackathon will take off on 

11 March 2027 with the announcement of the challenge, and close on 

15 March 2027 with a pitching session at which the teams will present their solutions. 

The winners will be awarded on 

16 March 2027, at the first day of the NTTS 2027, where they will have the opportunity to present their solutions more in detail. 

WHAT IS A HACKATHON?

Data hackathons, also known as data dives, are intense events where teams of data scientists, IT experts and project managers try to creatively tackle data problems and prototype data analytics products.

Data hackathons last between a day and a week, and they tend to have a specific focus, which can include specific data sources, methodologies, technologies and applications.

To fully exploit the potential of web-based sources and its usage in the labour statistics domain, the focus of the 2027 edition of the European Big Data Hackathon will be on Online Job Advertisements data.

WHAT IS THE PURPOSE?

The European Big Data Hackathon has three main objectives

  • To solve statistical problems, by leveraging algorithms, exploring novel, big and open data sets as potential sources for official statistics, and by engaging with practitioners, developers and data scientists across Europe;
  • To devise innovative products and tools, including for data visualisation, to stimulate the use of open data and public use files and to engage with new audiences and users;
  • To promote partnerships with research community and private sector, by raising awareness about big data developments in Official Statistics in Europe and by initiating and reinforcing collaboration with the private sector and universities in this field.

28 TEAMS FOR THE 2027 EDITION

teams

EVALUATION CRITERIA

The panel of evaluators will assess and rank the data products proposed by the hackathon teams based on the following criteria:

Relevance: the extent to which the data product provides an effective answer to the policy needs;

Methodological soundness: the extent to which the data product provides an unbiased answer to the policy needs;

Communication: the ability of the product to provide the information in a clear and user-friendly way, including through data visualisation;

Innovative approach: the extent to which the data product introduces or uses new ideas or methods;

Replicability: the extent to which the data product can be implemented in several EU Member States.

LINKS TO PAST EDITIONS

PROGRAMME

 

PRACTICAL INFORMATION

For points relating to logistics and/or questions on hackathon procedures, please contact our functional mailbox: 

ESTAT-EU-BD-HACKATHON@ec.europa.eu