ERCIM Latest News

ERCIM-JST Joint Symposium on Big Data and Artificial Intelligence

ERCIM and JST (Japan Science and Technology Agency) are organizing the first joint Symposium on Big Data and Artificial Intelligence on 18-19 February 2021. The online symposium aims to present recent results of research conducted in the context of the JST Crest programme as well as relevant research results from European institutions. The meeting will provide the opportunity to participants from Japan and Europe to familiarize themselves with recent research results and consider collaboration prospects that will arise in the context of the Horizon Europe framework programme or relevant initiatives from JST.

Participation is free but limited, registration is required. For more information and registration form is available on the Symposium web page

GATEKEEPER 1st Open Call - deadline extended 28 February


The GATEKEEPER project, in which ERCIM is a partner, has launched a first Open Call offering an opportunity for research institutes, SMEs, Midcaps and industry with competencies in the Big Data and AI domains to apply for projects. The available budget is 600.000€ for ten projects with a duration of one year.

Stefano Cresci Wins the 2020 ERCIM Cor Baayen Young Researcher Award

Stefano CrescoStefano Cresci has been selected from among 13 excellent short-listed nominees as the winner of the 2020 ERCIM Cor Baayen Award. Stefano, from CNR, Italy, has received the award in recognition of the outstanding scientific quality of his research and the impact on science and society that he has already achieved as a young researcher.

Final BOOST 4.0 virtual conference - 10th of December

ERCIM is pleased to invite you to the Final Conference of the BOOST 4.0 project "Boost 4.0 Big Data and Industrial Data Space Large Scale Piloting for Digital Smart Factories" to be celebrated virtually on the 10th of December. Register online

In this final conference, some of the most relevant digital players and factories in the area of Industry 4.0 will present the results of the largest big data trials in the sector. Key leading experts on a broad spectrum of areas related to Industry 4.0 will provide their insights, best practices and lessons learned on how bid data technologies, AI and digital manufacturing platforms have helped companies such as VW or Whirlpool to revert long periods (25% of the time) and large warehouse overstocks (up to 20%).

25th International Conference on Formal Methods for Industrial Critical Systems - FMICS'20

The yearly conference of the ERCIM Working Group on Formal Methods for Industrial Critical Systems, FMICS, the key conference at the intersection of industrial applications and formal methods, reached its 25th edition this year. Therefore, a panel “Genesis, Success Stories, and the Next 25 Years” was organized to celebrate this remarkable milestone. The conference took place virtually on 2-3 September, hosted by TU Wien.

ERCIM offers fellowships for PhD holders from all over the world

Fellowship ProgrammeApply now for the next round. Deadline: 30 September (extended to October 2)

The ERCIM fellowship scheme helps young scientists to improve their knowledge of European research structures and networks and to gain more insight into the working conditions of leading European research institutions. The fellowships are of one year duration (with a possible extension), spent in one of the ERCIM member institutes. Fellows can apply for a second year in a different institute.

Eighth International Workshop on Computational Intelligence for Multimedia Understanding

The ERCIM Working Group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) is organising its annual workshop, the International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) in conjunction with ICCCI 2020, to be held in Da Nang, Vietnam, on November 30- December 3, 2020.

W3C Workshop on Web & Machine Learning


W3C is organizing a virtual workshop on the intersection of Machine Learning (ML) and Web browsers. By exploring the impact of machine learning technologies on Web browsers and Web applications, as well as evaluating the opportunities for standardization around ML APIs and formats, the workshop's goal is to help enrich the Open Web Platform and provide better foundations for machine learning.