idw – Informationsdienst Wissenschaft

Nachrichten, Termine, Experten

Grafik: idw-Logo
Medienpartner:
Wissenschaftsjahr


Teilen: 
09.08.2018 15:55

Four Million Euros Awarded to Three UZH Researchers

Melanie Nyfeler Kommunikation
Universität Zürich

    Three scientists of the University of Zurich have been awarded the EU's coveted ERC Starting Grants. The grants, each worth approx. 1.3 million euros, enable the researchers to pursue promising projects and build up their own research groups over the next five years.

    The European Research Council awards its grants to junior scientists who have at least two years' research experience following their PhD and who can present interesting, promising projects. As in previous years, researchers from the University of Zurich - working in the field of informatics, economics and mathematics - are among the recipients of ERC Starting Grants.

    Combining machine learning with market design

    Sven Seuken, Associate Professor at the Department of Informatics, has received a grant for his research project at the intersection of market design and machine learning. Why do some marketplaces such as eBay and AirBnB work well, while others don't? And which algorithms ensure economic efficiency, fairness and computational feasibility? Sven Seuken's group will develop novel market mechanisms that are more efficient, easier to use and more resistant to manipulation. Insights gained from this research will be of interest for researchers working in the fields of artificial intelligence, game theory and economics.

    Economic growth and income inequality

    David Hémous, Assistant Professor of Business and Economics, researches the interplay between industrial automation and income. Rapid technological progress in the field of IT, numerical control and robotics have reduced labor demand for production workers in developed economies. At the same time, investment and innovation in automation technologies increase with the level of wages. The goal of David Hémous' project is to provide a quantitative account of the two-way relationship between automation and income distribution. Understanding this complex relationship is essential to inform policymakers of the long-term effects on wages and economic growth resulting from measures such as an increase in the minimum wage or a robot tax.

    Understanding singularities in partial differential equations

    The project of Xavier Ros-Oton, member of the teaching staff at the Institute of Mathematics, aims to better understand the mathematical foundations of partial differential equations (PDEs). To achieve this, he will develop new techniques aimed at improving our understanding of singularities - one of the major unresolved questions in the field of PDEs. PDEs are used in almost all areas of science and engineering. Applications include the description of heat and sound, the evolution of biological populations, pricing models in finance as well as understanding the classical models of relativity and quantum mechanics.

    Box
    ERC Starting Grant 2018

    Prof. Sven Seuken for his research project "Machine Learning-based Market Design"
    Amount awarded: 1,375,000 euros
    Department of Informatics
    University of Zurich
    seuken@ifi.uzh.ch
    http://www.ifi.uzh.ch/en/news.html

    Prof. David Hémous for his research project "Automation and Income Distribution: a Quantitative Assessment"
    Amount awarded: 1,295,890 euros
    Department of Economics
    University of Zurich
    david.hemous@econ.uzh.ch

    Dr. Xavier Ros-Oton for his research project "Regularity and singularities in elliptic PDEs: beyond monotonicity formulas"
    Amount awarded: 1,335,250 euros
    Institute of Mathematics
    University of Zurich
    xavier.ros-oton@math.uzh.ch


    Weitere Informationen:

    http://www.media.uzh.ch/en/Press-Releases/2018/ERC-Starting-Grant.html


    Merkmale dieser Pressemitteilung:
    Journalisten, Wissenschaftler
    Informationstechnik, Mathematik, Wirtschaft
    überregional
    Forschungsprojekte
    Englisch


    Hilfe

    Die Suche / Erweiterte Suche im idw-Archiv
    Verknüpfungen

    Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.

    Klammern

    Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).

    Wortgruppen

    Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.

    Auswahlkriterien

    Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).

    Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).

    Cookies optimieren die Bereitstellung unserer Dienste. Durch das Weitersurfen auf idw-online.de erklären Sie sich mit der Verwendung von Cookies einverstanden. Datenschutzerklärung
    Okay