Events
Upcoming events
Get to know CESSDA with Alen and Irena! DRI Webinar series
Starting in February 2026, DCC launched a series of webinars to showcase the digital research infrastructure projects and communities in the UK and beyond in collaboration with UK Research and Innovation (UKRI). Tune in to learn more about CESSDA from two of the people who the organisation best: CESSDA Head of IT Alen Vodopijevec and Vipavc Brvar (Slovenian Social Science Data Archives (ADP)).
GESIS Fall Seminar in Computational Social Science
The GESIS Fall Seminar in Computational Social Science features introductory and advanced courses on collecting and analyzing digital behavioral data from the web, social media, or digital archives. Courses are taught by leading experts in the field and offer plenty of opportunities to learn from and connect with other like-minded researchers. Lectures in each course are complemented by hands-on exercises, giving you the opportunity to directly implement your newly acquired skills and knowledge.
CESSDA EOSC roundtable - Focus on the CESSDA SP work of the EOSC Task Forces (TFs)
The focus of the roundtable is to mutually brief the SPs involved in the different EOSC TFs and other groups, and identify potential synergies or overlaps.
SSHOC Workshops: Thematic GLAM institutions
The SSH Open Marketplace Editorial Board invites you to a hands-on workshops to strengthen FAIR and digital research skills. This is workshop 6 of 8 on Thematic GLAM institutions
EGI 2026
Welcome to the annual EGI Conference! EGI2026 brings together digital and research infrastructure providers, data scientists, policy-makers, and innovators, to advance data-intensive science EGI2026 takes place in Ghent, Belgium, 21-25 September 2026. It is organised by the EGI Foundation in collaboration with partners from the EGI Federation.
Second OSTrails Train-the-Trainer Bootcamp
The OSTrails project is pleased to announce the second edition of the OSTrails Train-the-Trainer Bootcamp, to be held online September 22-24. The event offers training on the three OSTrails pillars - Data Management Plans, Scientific Knowledge Graphs, and FAIR Assessment. It aims to provide participants with the opportunity to work directly with the teams developing the OSTrails tools and services, while gaining a practical understanding of implementation requirements, integration workflows and training approaches.