OUR Vision
Building better cities
A digital ecosystem for demand-driven and sustainable location decisions
The Beginning
UrbanDataLab was motivated by a very personal experience: searching for the ideal place to live for the own family. Instead of using a zip code, I wanted to filter locations according to their conversion potential and the structure of the neighborhood and search specifically for specific situations in the neighborhood. I had to realize that there was no solution for this. As a techie of the ETH with appropriate knowhow about statistics and geodata, the first prototype was built, which allows a new form of interpretation and filtering of options. With the time it became obvious that this personal need is also relevant for companies and helps them to integrate the location into their business strategy - the foundation stone for UrbanDataLab was laid.
Who we are
UrbanDataLab is a spin-off of ETH Zurich and is based on more than 15 years of experience in data-based analysis and modeling of spatial developments - both in practice and in research. Our goal is to make this knowledge easily accessible on a platform and thus enable users from different industries to make better and, above all, individual location decisions in the urban environment. We are convinced that we can help to use urban spaces more efficiently and, by capturing trends and needs of user groups, also create synergies - from residents, workers, planners and owners to commuters.

Although we share a vision, our network is interdisciplinary in nature from:
  • Architecture/City Planning
  • Real Estate
  • Data Science
  • Geo Science
  • Software/IT

Do you like our vision? Then contact us without obligation and become part of our network. We are always open to meet interested people and also open for applications!
    Dr.sc.ETH Urban Simulation
    Partner, Lead Product & Business

    Patrick has a passion for understanding behavior in cities and to support real-world decisions. At ETH Zurich, he created an agent-based simulation for the Canton of Zurich, predicting 30 years of developments. Before UDL, he gained professional experience as an urban planner across Europe and Russia and as a data scientist for the Swiss Real Estate Industry.

    PhD Geography & Planning
    Partner, Lead of Data & Analytics

    Martin is a spatial data scientist who loves to dig deep and develop geographically-explicit solutions on top of any data with a location. He is an open science enthusiast and a core developer of a range of open-source software like GeoPandas or PySAL, an invited speaker for many international networks and an active researcher.

Board of Advisors
    Manag. Director Financial Industry
    Business Advisor / Board
    Msc BA / Bsc FM
    Strategic Advisor / Board
  • POL
    Dipl. Ing ETH
    Innosuisse Coach

  • KAY
    Scientific Advisor
    Msc BA / Bsc FM
    Real Estate Advisor