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 Faculty Receives 2022 ACM SIGCHI Social Impact Award
Congratulations to TSB Faculty Liz Gerber on winning the 2022 ACM SIGCHI Social Impact Award for her contributions to addressing socio-economic challenges.
Virtual collaboration hinders a key component of creativity
Experiments show that teams working together online produce fewer ideas than those in person, as described in TSB faculty Ágnes Horvát's new essay for Nature.
TSB Student Awarded Google PhD Fellowship
Congratulations to TSB current student Ryan Louie on being selected as a Google PhD Fellow in Human Computer Interaction for his work on human-AI expression tools that encode conceptually rich situation using machine detectors.From the Technically Social Blog
From scientific management to data-driven labor organizing
As data is collected about workers, how does it impact them and how do they respond to it? What is the role of technology in supporting worker advocacy movements?
Crowdsourcing the social impacts of algorithms
New study uses crowdsourcing to leverage anticipatory ethics and participatory foresight, to ultimately uncover potential impacts of algorithmic decision making tools.
Visualizing Privacy Trade-Offs for Sensitive Data
Differentially private analyses involve adding a calibrated amount of noise to data to protect people's privacy. How can interactive visualizations help researchers navigate these trade-offs?
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
Link Lab
Understanding and predicting group behavior in networks and socio-technical systems