RWG1 - Theory of large scale networks and graphs (led by Kobourov and Glickenstein)

RWG2 - Theory of data visualization and interpretation (led by Schiedegger and Glickenstein)

RWG3 - RWG3: Theoretical research for imaging sciences (led by Barnard and Zhang)

RWG4 - Statistical modeling for natural language processing (led by Surdeanu and Watkins)

RWG5 - Theoretical analysis for optimization (led by Brio and Fan)

RWG6 - Analyzing large-scale point-set data (led by Kececioglu and Hao)

RWG7 - Bayesian methods for big data (led by Barnard and Piegorsch)