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Purpose and Impact


Leveraging the successful model of the faculty lunch series that led to the creation of other institutes at Northwestern, the goal of the Data Science Research Networking Luncheons is to identify significant and upcoming research areas with a big data orientation and to stimulate discussion of these research arenas. These networking luncheons are made possible through an allocation of funding from the Office of the Provost to the Data Science Initiative, and the intention is that these luncheons will lead to new faculty connections and collaborations and set research agendas, possibly resulting in potential new and joint hires, research initiatives and proposals, collaborative publications, and/or the identification of other new projects and opportunities.


Throughout 2017-2018, faculty presented to their luncheon colleagues and used their presentations as vehicles to share recent projects; to solicit new ideas, approaches, and methods for works in progress; to explore research challenges faced; and to find new collaborators. The luncheons also provided an ideal venue for announcing and promoting upcoming events both on the Northwestern campus and in the Chicago area. Each group included a representative from the Office of Research Development who routinely shared upcoming calls for proposals for external funding and used their vantage point to suggest faculty connections across disciplines.

Towards the end of the 2017-2018 series, groups began to brainstorm about strengths and barriers to data science research at Northwestern and to look collectively across presentations to identify larger themes for future pursuit. Other successful activities included “speed researching” in which multiple pairs of faculty brainstormed briefly about projects they could embark upon together.


In the 2017-2018 end-of-year survey, faculty participants reported that connections and collaborations made during these luncheons resulted in submitting numerous grant applications and research proposals, co-authoring publications with other group members, co-advising graduate students, guest lecturing in other group members’ classes, and submitting graduate cluster proposals. Group members were also energized to collaborate beyond the luncheons to bring data science concepts to the larger community through a symposium on micro-grids, a Domain Dinner on neuroscience, and participation in an international conference on computational social sciences.

It was clear from the survey results that faculty value this type of collaboration vehicle and viewed it as a differentiator for Northwestern: