Complex Analytics For Simpler Urban Life

Digital City Lab

We promote potential of data science and complexity to broad audience and the students through teaching and public speaking. Our courses include Applied Data Science, Machine Learning, Network Analysis, Scientific Writing.

Digital City Lab: Urban Complexity and Intelligent Systems

Open to researchers, students, and practitioners dedicated to unfolding the complexity of urban systems through data-driven innovation.
Run by the Digital City Lab at the Institute of Computer Science, MUNI, specializing in the intersection of Data Science and Urbanism.
Led by Professor Stan Sobolevsky’s team, leveraging cutting-edge expertise in Machine Learning, Network Analysis, and Big Data.
Applied research and modeling focused on urban mobility, transportation, public safety, and socioeconomic impact assessments.
Explores the frontier of modern science with publications in top-tier journals like Nature’s Scientific Reports, PNAS, and Physical Review E.
Collaborates with global partners, including NYU’s CUSP and MIT Senseable City Lab, to make cities smarter, more resilient, and better places to live.

 

🏛️ Urban Complexity Lab at NYU CUSP

Urban Complexity Lab at NYU’s Center For Urban Science + Progress is unfolding complexity of urban systems for research, innovation and applications. We leverage big urban data and cutting edge machine learning and network analysis techniques to make our cities more smart, efficient, sustainable, resilient – better places to live in.

📄 Research Publications

Our papers are published in top tier journals including Nature’s Scientific Reports, PNAS, Physical Review E, PLjournal.pone.0014248.g001OS ONE, Royal Society Open Science, International Journal Of GIS, Applied Geography, Environment And Planing B, EPJ Data Science and many others and push forward the frontier of the modern science.

🎓 Education and Outreach

We promote potential of data science and complexity to broad audience and the students through teaching and public speaking. The courses we teach cover applied aspects of Data Science, Machine Learning and Network Analysis.

👥 Our Team

Our team brings together faculty, researchers and students – goal-oriented, bright and enthusiastic personalities inspired by smart cities and the promise of data science.

💡 Projects and Innovation

Our projects on urban mobility, transportation, public safety, urban impact assessments as well as fundamental research in network science, big data and complexity are supported by industrial partners and foundations and help innovating the cities we live in.

🤝 Partners and Supporters

Our supporters include US Department Of Energy, US Department Of Transportation, National Geospatial Intelligence Agency, Lockheed Martin, Future Cities Catapult, Arcadis.

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