Speakers: José van Dijck en Maarten de Rijke. About: Life Mining.
Center for Creation, Content and Technology (CCCT) Seminar
Friday 15 March 2013, 16.00-17.00 (followed by drinks), Science Park 904, room C1.112
Under the CCCT umbrella, researchers from the humanities, the social and behavioral sciences, and the natural sciences collaborate in a multidisciplinary setting on information-rich research topics. CCCT is organizing a bi-monthly seminar in which one of the three faculties hosts speakers from the other two to report on research activities that are of shared interest.
Speaker: José van Dijck (Comparative Media Studies, FGw, UvA)
Title: Life Mining: Big data, big questions
In a world that is inundated with data collected through and culled from social media platforms (Twitter, Facebook, YouTube, LinkedIn), it is important to scrutinize the assumption underlying elementary concepts of life mining, such as “identity” and “selves” in relation to “data.” What do social media data tell us about people’s lives? Can we actually regard social media data as signifiers of actual, real-life emotions, activities or opinions? The concepts and methods used with regards to life-mining betray a peculiar epistemological view on the relationship between data and people. This talk will reflect on these issues and raise “big” questions to “big data”.
Speaker: Maarten de Rijke (Informatics Institute, FNWI, UvA)
Title: Life Mining: Stuff We Can Predict
As we increasingly live our life online, the information landscape is changing dramatically. We are not only witnessing data streams that are expanding in every imaginable dimension, the nature of the data is changing too. We share experiences and perspectives, all of our transactions are logged, our cars and homes monitor our movements and activities, body and brain signals are becoming a commodity. We have reached a point where the boundaries between automated information-processing systems and their human users are blurring. The challenge is to design search and analysis methods based on self-learning algorithms that exploit a multitude of signals of this type to improve their functioning. Based on a series of examples of the kind of (online) user behavior and characteristics that we can already predict, we will speculate about future directions for behavioral prediction.
Date and Time: Friday 15 March 2013, 16.00-17.00 (followed by drinks)
Science Park, room: C1.112
Science Park 904
1098 XH Amsterdam
José van Dijck is a professor of Comparative Media Studies at the University of Amsterdam, where she also served as the Dean of Humanities. She has a PhD from the University of California, San Diego (UCSD) and previously taught at the Universities of Groningen and Maastricht. Her visiting appointments include MIT, UC Santa Cruz, Concordia University Montreal, and the University of Technology, Sydney. Her work covers a wide range of topics in media theory, media technologies, social media, television and culture. She is the author of six books, three co-edited volumes and some one hundred articles. Her most recent book, The Culture of Connectivity. A Critical History of Social Media, was just published by Oxford University Press (2013). For more information, see http://home.medewerker.uva.nl/j.f.t.m.vandijck/
Maarten de Rijke is professor of Information Processing and Internet, director of ISLA, director of CCCT. His research interests concern intelligent information access, with a focus on web information. Maarten has over 500 publications in the areas of knowledge representation and information retrieval. His current research interests include online learning to rank, social media analysis, and predictive analytics. http://staff.science.uva.nl/~mdr/
Intelligent Systems Lab Amsterdam,
Informatics Institute, Faculty of Science, University of Amsterdam