Where the Talent and Opportunity Converge

Prove your skills, showcase your talent, and enhance your proficiency and experience in Data Analytics, Machine Learning, and AI.

Learn in our Datathon Join our lab Cooperate with us

Digital Talent Lab at MUNI: Your Gateway to Data Analytics, Machine Learning, and AI Mastery

Open to students, professionals, and enthusiasts in Data Science, Data Analytics, Machine Learning, and AI tools.
Run by the Digital City Lab at the Institute of Computer Science, MUNI.
Guided by researchers from Professor Stan Sobolevsky team during the Datathon.
A hands-on 'Datathon' event solving real world projects handling big data.
Merges Computer Science, mathematics, Data Analytics, Machine Learning, and AI for innovation.
Access to cutting-edge tools to handling data in multidisciplinary research.

News

28 Jul

Interview with Devashish Khulbe: Mentoring Datathon at Masaryk University’s Digital Talent Lab

Discover how the Datathon of the Digital Talent Lab at Masaryk University is shaping the next generation of data, ML and AI experts. In this interview,...

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....

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....

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...

Key Dates

A New Path to Data-Driven Excellence

“As generative AI reshapes coding, demand shifts from speed to insight. Skilled developers leveraging AI can build complex systems up to 80x faster. The future belongs to those who think beyond the code.”

Stan Sobolevsky
Head of the Digital City Lab

“We offer a unique opportunity for those eager to expand their qualifications and develop a data-driven mathematical mindset—the ability to think mathematically about real-world data and work with it in a sophisticated way.”

Jan Slovák
Mathematician and researcher

“In Datathon, participants will examine the dataset, perform initial data cleaning, explore potential analytical approaches, and formulate preliminary hypotheses or solutions. They will be challenged to solve specific problems using real-world datasets, building upon their initial explorations. We are there to mentor them when they examine datasets to identify trends and draw conclusions, often using specialized software and systems.”

Daniel Bretsko
Founding Engineer (AI/ML) at Meetsta and Deep Learning Researcher at MUNI

“At Digital City Lab, we unfold the complexity of urban systems to drive cutting-edge research, innovation, and real-world applications. By leveraging big urban data, AI, and network science, we make cities smarter, more efficient, and sustainable—creating better places to live, concluded Khulbe, the Deep Learning researcher with a focus on graph AI models and their applications in large scale urban networks.”