About Us

LARC Vision

SMU and Carnegie Mellon are convinced that the Living Analytics Research Centre provides a unique opportunity to bring together i) 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.

We also believe that advances in computational social science that will be demonstrated through LARC projects and field experiments will lead to a wide-range of practical applications of use to individual consumers, private sector organizations, and the public sector

LARC is working towards realizing two types of closely related key contributions:

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.
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.