Research
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Research Priorities
The Living Analytics Research Centre (LARC) aims to bring together i) data mining and machine learning, ii) statistics, iii) social and behavior science, iv) management science, and v) the science of social and behavioral networks, in ways that can transform and expand computational social science so as to develop new applications that benefit individual consumers, private sector organizations, and the public sector. LARC is working towards realizing two types of closely related key contributions:
(a) Realization and validation of the Living Analytics Adaptive Learning Loop. This requires the Living Analytics Technology Platform, and access to real-world users and their behavioral data observable through digital traces, either using data sets accessible through our collaborating external partners, or through data from our own testbed of users. (b) Experimental methods and supporting tools for analyzing consumer & social behavior when individuals are interlinked through various types of interaction networks, with vastly improved ability to observe and quantify various types of interaction effects. Examples of ongoing research are:
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