News

4 Jun

From Mathematical Uncertainty to Smart City Innovation with Data Analysis, Machine Learning, and AI. An Interview with Stan Sobolevsky

Stan Sobolevsky’s journey from studying mathematical uncertainty to leading the Digital City Lab shows how embracing unpredictability fuels urban innovation. Using advanced analytics and AI, Sobolevsky’s team turns city complexity into opportunities for smarter urban environments.

3 Jun

Jan Slovák on Experiential Learning: Fostering Mathematical Habits in Data Analytics, ML, and AI

Focused on informal, experiential learning and real-world projects, the Digital Talent Lab bridges the gap between academic excellence and industry needs. We spoke with Professor Jan Slovák, a leading figure in the initiative, about how the Lab is shaping the next generation of digital talent.

28 May

The Datathon Has Officially Begun. You Can Still Join us

We’re thrilled by the success of our Datathon Intro Webinar and grateful for the energy and curiosity our participants brought. Even more exciting—resumes are already arriving, and we’re delighted to welcome new talent ready to take on real-world data challenges with us.

9 May

Join our Datathon Intro Webinar: Learn to Communicate AI, Data & ML at Your Projects

Do you want to know, everything about our Datathon? Join our free and online webinar on 21 May in 3 PM (CET)! Learn why understanding and communicating about data analysis, AI, and ML is now essential for every job, school or research project–even if you’re not a tech expert.

5 May

Mentoring in the Digital Talent Lab Datathon is about to start, register now!

Digital Talent Lab offers informal, free, and practical training in data analytics, machine learning, and artificial intelligence. Everyone can learn by doing – through experiential learning in the Datathon, or corporate internships later.

29 Mar

Enhance your skills in Data Analytics, Machine Learning, and AI with the new Digital Talent Lab at MUNI

We proudly announce the launch of The Digital Talent Lab, a new initiative spearheaded by the team led by Professor Stan Sobolevsky. This innovative Lab aims to enhance Data Analysis, Machine Learning, and AI skills of interested candidates through hands-on projects with commercial partners in the free and online Datathon.