Presentation by Bernd Resch
Thursday, Aug 24th, Noon - 1:00, Room S354, CGIS South Building (1730 Cambridge St.)
Watch a video recording of the presentation.
Abstract:
The disruptive technological advances over the past decade have fundamentally changed how we see the world. As a result from this transformational development, the scientific community has faced a transition from a data-scarce to a data-rich environment, which also reshapes the field of geoinformatics through the integration of data-driven approaches. This again necessitates the development of new methods for data acquisition and analysis that go well beyond established algorithms in geoinformatics, i.e., new methods for data analysis that need to be developed in collaboration between different disciplines including computer science, computational linguistics, sociology, psychology, statistics, medical science, or the environmental sciences. From a less positivist viewpoint, these developments come with a certain risk. For instance, new business models are often based on collecting and selling user data, implying that less privacy is the new social norm. Consequently, scientific research efforts involving locational data referring to individuals or groups of people need to ensure privacy and data protection through raising awareness and through comprehensive Privacy by Design guidelines that follow legal and ethical rules.
This talk will discuss new analysis methods in a number of application areas and propose a comprehensive Privacy by Design guideline for dealing with personal location data in scientific 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. His research interests revolve around fusing data from human and technical sensors, the “quantified self” movement and crowd-sourcing methods, environmental monitoring, People as Sensors, real-time analysis of urban dynamics, Sensor Fusion, and interoperability in geo-sensor networks.
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