by Bernd Resch
Noon - 1:30 on Thursday 9/22. Room S354, CGIS South Building, 1730 Cambridge St, Cambridge, MA.
View a recording of the presentation.
Abstract: The potential of social media as a valuable data source for a variety of application areas like urban planning, emergency management or public health has been widely acknowledged by numerous disciplines. Particularly the scientific field of GIScience has played a key role in producing useful results from social media data in the form of maps for decision support on various levels. While traditional and well-known geospatial analysis methods have been widely used, more sophisticated and holistic approaches are still widely lacking. This talk presents the results of cutting-edge GIScience research on social media and other user-generated data. The method spectrum includes semi-supervised learning approaches, neural networks, and self-learning systems, amongst others. The talk will foster a discussion on the integration of these approaches into GIScience research.
Speaker bio: Bernd Resch is an Assistant Professor at University of Salzburg’s Department of Geoinformatics - Z_GIS and a Visiting Fellow at Harvard University (USA). Bernd Resch did his PhD in the area of “Live Geography” (real-time monitoring of environmental geo-processes) together with University of Salzburg and MIT.
Lunch will be served.
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