WIDS VILLACH 2026: DATA SCIENCE MEETS RESPONSIBILITY, TALENT DEVELOPMENT & INNOVATION

In late April, the Villach campus of Carinthia University of Applied Sciences hosted the Women in Data Science (WiDS) conference for the seventh time. In 2026, the event once again sent a strong message: the future emerges where technological excellence and social responsibility are considered together

On April 30, the FH Kärnten campus at the Technology Park Villach once again became an international meeting point for data science, artificial intelligence, and innovation. For the seventh consecutive year, WiDS Villach provided an important platform to increase the visibility of women in data science and AI and to showcase their expertise on an international stage.

A total of 262 participants from 33 nations attended the conference, including 55 online participants. Among the distinguished guests were FH Kärnten Rector Peter Granig and Daniela Stein, Chair of the Board of the Business Women’s Center.

A SEVENTH YEAR IN THE SPIRIT OF RESPONSIBILITY

WiDS Villach has long established itself as a platform that not only presents technological developments but also critically reflects on their societal impact. In line with the international WiDS initiative “Raise Your Hand,” WiDS Villach aims to encourage women to take active responsibility in data and AI-related fields and to step into leadership roles. This is intended to foster greater diversity, improve decision-making, and reduce bias in the field. A central role is played by the “Girls in Data Science (GiDS)” initiative, which introduces girls and young women to data and AI topics at an early stage and supports them along their journey.

At the center of this year’s conference was the interplay between talent development, the practical application of data science and AI, and questions of fairness, impact, and trust in these technologies. The conference thus brought together research, practice, education, and talent development in a diverse and forward-looking program.

TALENT DEVELOPMENT AND PRACTICAL SOLUTIONS IN FOCUS

The opening of WiDS Villach 2026 was held under the motto “Empowering Young Talents” and demonstrated, through exciting research and education projects, how diverse access to data science can be. Among the highlights was “LiveSaferOverview,” an AI system that detects emergency vehicles in real time in highway tunnels, making a direct contribution to traffic safety. In addition, applications of spatial data science in education were showcased, as well as creative approaches such as “TurtleStitch,” which combine technical and artistic skills in an interdisciplinary way.

Students from BG/BRG St. Martin, BG/BRG Lienz, Perau Gymnasium Villach, and CHS Villach also presented their own projects within the framework of the “Girls in Data Science (GiDS)” initiative, contributing strong creative contributions and subject-specific input to the STEM field.

TRUST AS A CENTRAL CHALLENGE OF AI

A key theme of the conference was how responsible AI can be achieved in practice. Under the guiding theme “Trusted Data, Trusted Science & Our Social Responsibility,” it became clear during the second session of the day that trust is not a by-product of technological development, but a fundamental prerequisite.

Contributions such as “AI for Good” highlighted the development of AI applications with societal impact and, through the “AI Wonder Girls” initiative, emphasized the importance of diverse teams for fair and socially responsible AI systems. In the talk “Beyond the Model,” it was also stressed that the greatest challenge in many data science projects is often not the AI model itself, but a solid data strategy – from data integration and quality assurance to a robust pipeline architecture.

The subsequent discussion on bias in AI systems, as well as the panel discussion, further reinforced the message: trust in AI is built through transparency, explainability, and shared responsibility.

AI BRIDGING DISCIPLINES

The “Engineering the Future” session showcased the enormous breadth of data science – from atomic chip design and automated arrhythmia detection in medicine to drug development using Catalophore technology. This diversity demonstrates that data science has become a key interdisciplinary discipline for innovation across a wide range of high-tech fields.

The session concluded with a clear data engineering perspective: successful AI systems require a clean data foundation with domain ownership, a robust data model, solid SQL expertise, and a resilient warehouse architecture. Without this foundation, even the best AI model remains incomplete.

WiDS Villach 2026 impressively demonstrated that data science goes far beyond technology alone. The conference combines academic depth, talent development, and social responsibility into a holistic approach. For Villach and the innovation ecosystem around the Technology Park Villach, WiDS is therefore much more than a specialist conference: it is a key driver of an inclusive, responsible, and scientifically grounded data future.