Dual Ph.D. Program in Computer Science and Communication
Technology and Social Behavior (TSB) is a joint Ph.D. program in Computer Science and Communication that draws on Northwestern's strong support for interdisciplinary research, benefits from talented faculty who contribute to a tradition of collaboration, and attracts unique students who are eager for academic experiences that cross traditional departmental boundaries.
Recent Work Spotlight
TSB Students Win Presidential Fellowship, NSF Graduate Fellowship
Congratulations to Henry Dambanemuya on winning the Presidential Fellowship, Harrison Kwik on receiving the NSF GRFP, and Carl Colglazier on receiving an honorable mention.
Gender inequities in the online dissemination of scholars’ work
Women are less successful than men in disseminating their research online, an NSF-funded study published in PNAS and led by TSB faculty Ágnes Horvát finds.
TSB Faculty Members Receive NSF CAREER Awards
Congratulations to Professors Eleanor O'Rourke and Marcelo Worsley on their respective awards from the NSF's Faculty Early Career Development program.
From the Technically Social Blog
Hey Alexa, Can you tell me how well you answer news queries?
New research on Amazon's Alexa shows how variations in how users receive information about recent news. What causes these variations? How do these differences manifest?
Apple's Tracking Options Give You Influence Over Tech Companies
Apple now lets users opt-out of app tracking, and developers have lost access to many people they previously tracked across apps. Will this give you more influence over tech companies?
How AI researchers are thinking about the societal impacts of AI
The NeurIPS broader impact statements offer a snapshot of a community at a crucial point of change. How do authors express impacts? What types of impacts do authors focus on?Research Lab Spotlight
Delta Lab
Human computer interaction, social and crowd computing, learning sciences, civics, and more
MU Collective
Research at the intersection of information visualization and uncertainty communication, with new faculty Matthew Kay
Collab Lab
Understanding and designing systems to support group interactions and communication
Computational Journalism Lab
Studying how algorithms and automation impact the production and dissemination of news in society
People, Space, and Algorithms Research Group
Addressing societal problems created and/or exacerbated by computer science
Interactive Audio Lab
Making new tools for understanding and manipulating sound with machine learning, human computer interaction, and more
Sonic Lab
Advancing social network theories, methods, and tools to better understand and meet the needs of diverse communities
Community Data Science Collective
Studying online communities to understand how and why they can generate productive collaboration, such as Wikipedia
Social Media Lab
Studying how social media — technologies that facilitate social behavior among people — are used for work and play
Atlas Lab
Enabling the design of large, diverse, digitally-connected teams on Earth and beyond