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Deutsch Intern
    DMIR Research Group

    Environmental Science

    The DMIR group works with environmental data to contribute to the ongoing climate research. Based on low-cost sensors, map and geographical data, we develop novel approaches to environmental questions. These questions include "What is the air pollution at a given spot on earth?" and "What type of wine should I grow on my land given the development in climate in the next few decades?". While answering such questions is one concern of our research, the other objective is to raise awareness for the environment in the society.

    Projects

    We are currently working on the following projects:

    P2Map Logo

    p2Map

    Combining low-cost mobile sensors and subjective feedback to build understandable maps regarding air pollution in Würzburg.

    BigData@Geo Logo

    BigData@Geo

    Developing machine learning based approaches to regional environmental prediction models and answering future-related questions by small and medium-sized enterprises regarding environmental factors.

    Publications

    Here is a list of selected publications.

    • becker2017mixedtrails.pdf
      MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Becker, Martin; Lemmerich, Florian; Singer, Philipp; Strohmaier, Markus; Hotho, Andreas in Data Mining and Knowledge Discovery (2017).
       

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    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Twitter. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

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    Contact

    Andreas Hotho
    DMIR Research Group
    Am Hubland
    97074 Würzburg

    Phone: +49 931 31-86731
    Fax: +49 931 31-86732

    Find Contact

    Hubland Süd, Geb. M2