Date and time: November 21st 2019, 12:15 – 13:15
Location: ETH Hönggerberg, HIT E51 (Siemens Auditorium)
Data literacy: How students learn to tell stories with data
In the information age it is crucial to use data as a form of language with which important stories can be told. With the advancing digitization, it has become possible to transform large amounts of data into a form from which understandable relationships can be derived. At ETH Zurich, both standard and specially developed datamining and visualisation tools are in use to enable students for storytelling with data.
Michael Sprenger of D-USYS shows how his BSc students visualize and interpret high-quality data sources using the “Integrated Weather Analysis Laboratory”, an intuitive web-based user interface.
Devin Routh from the Crowther-Lab at D-USYS enables his students in the master’s course “Geospatial Data Management and Analysis” to access Google Earth Engine and its “multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities to detect changes, map trends, and quantify differences on the Earth’s surface.
Nino Antulov-Fantulin from the Computational Social Science Group at D-GESS will tell us how his students use a range of data science tools to analyse techno-socio-economic systems and to present their results numerically and graphically.
- Michael Sprenger, D-USYS, Institute for Atmospheric and Climate Science, Atmospheric Dynamics Group
- Devin Routh, D-USYS, Institute of Integrative Biology, Global Ecosystem Ecology Group
- Dr. Nino Antulov-Fantulin, D-GESS, Computational Social Science