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Current Newsletter

Spring 2020 Design Cluster Newsletter

Welcome to Spring!
This quarter, we will remotely hold two Design Cluster Meetings dedicated to having our five Design Research Cluster Fellows present the exciting work they have each been doing on their fellowship projects.
Design Cluster Meetings
Thur, May 7
12 p.m. - 1 p.m.
Presenters: Angela Smith, Yaxin Cui. Zoom Meeting ID 99524619429. Join on Zoom
Mon, June 1
12 p.m. - 1 p.m.

Presenters: Wade Berger, Gobi Dasu, and Kapil Garg

We successfully submitted the final proposal for an undergraduate HCI certificate to the leadership of the future Center for HCI and Design Research. Thank you all for your hard work making this shared vision a reality – this will be a great benefit for undergraduates interested in design, technology, and social science and build the larger Northwestern Design Research community!

Research Updates and News


Fellow Updates


New Publications 

Sanders, K. E., Osburn, S., Paller, K. A., & Beeman, M. (2019). Targeted Memory Reactivation During Sleep Improves Next-Day Problem Solving. Psychological science, 30(11), 1616-1624.

 Bautista, M. S., Beeman, M., & Nolla, K. M. (2019). The Influence Of Stereotype Threat On Performance And Emotion Regulation Among Racial-ethnic Minorities In Competitive Gaming.

 Macapagal, K., Kraus, A., Moskowitz, D. A., & Birnholtz, J. (2019). Geosocial Networking Application Use, Characteristics of App-Met Sexual Partners, and Sexual Behavior Among Sexual and Gender Minority Adolescents Assigned Male at Birth. The Journal of Sex Research, 1-10.

 Heydari, B., Szajnfarber, Z., Panchal, J., Cardin, M. A., Holtta-Otto, K., Kremer, G. E., & Chen, W. (2019). Analysis and Design of Sociotechnical Systems. Journal of Mechanical Design, 141(11).

 Bostanabad, R., Chan, Y. C., Wang, L., Zhu, P., & Chen, W. (2019). Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design. Journal of Mechanical Design, 141(11).

 Mozaffar, M., Bostanabad, R., Chen, W., Ehmann, K., Cao, J., & Bessa, M. A. (2019). Deep learning predicts path-dependent plasticity. Proceedings of the National Academy of Sciences, 116(52), 26414-26420.

 Chen, G., Shen, Z., Iyer, A., Ghumman, U. F., Tang, S., Bi, J., Chen, W. & Li, Y. (2020). Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges. Polymers, 12(1), 163.

 Gómez-Zará, D., Andreoli, S., DeChurch, L. A., & Contractor, N. S.(2019). Discovering collaborators online: Assembling interdisciplinary teams online at an Argentinian University. Cuadernos. info, (44).

 Larson, L., Wojcik, H., Gokhman, I., DeChurch, L., Bell, S., & Contractor, N. (2019). Team performance in space crews: Houston, we have a teamwork problem. Acta Astronautica, 161, 108-114.

 Hilbert, M., Barnett, G., Blumenstock, J., Contractor, N., Diesner, J., Frey, S., ... & Shen, C. C. (2019). Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline. International Journal of Communication, 13, 23.

 Hogan, B., Janulis, P., Phillips, G. L., Melville, J., Mustanski, B., Contractor, N., & Birkett, M. (2019). Assessing the stability of egocentric networks over time using the digital participant-aided sociogram tool Network Canvas. Network Science, 1-19.

 Harris, A. M., Gómez-Zará, D., DeChurch, L. A., & Contractor, N. S.(2019). Joining together online: the trajectory of CSCW scholarship on group formation. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1-27.

 Antone, B., Gupta, A., Bell, S., DeChurch, L., & Contractor, N. (2019, December). Testing Influence of Network Structure on Team Performance Using STERGM-Based Controls. In International Conference on Complex Networks and Their Applications (pp. 1018-1030).

 Springer, Cham. Ichhaporia, R., Gómez-Zará, D., DeChurch, L., & Contractor, N. (2019, December). A Network Approach to the Formation of Self-assembled Teams. In International Conference on Complex Networks and Their Applications (pp. 969-981).

 Springer, Cham. Contractor, N. (2020). On Writing in Communication and Media Studies: A “Modest Proposal” on Writing That Is Not Modest Enough. International Journal of Communication, 14, 4.

 Xie, J., Bi, Y., Sha, Z., Wang, M., Fu, Y., Contractor, N., ... & Chen, W.(2020). Data-Driven Dynamic Network Modeling for Analyzing the Evolution of Product Competitions. Journal of Mechanical Design, 142(3).

 Ceja, C. R., Jardine, N. L., & Franconeri, S. L. (2019). Foveal gravity: A robust illusion of color-location misbinding. Attention, Perception, & Psychophysics, 1-8.

 Das, M., Gergle, D., & Piper, A. M. (2019). "It doesn't win you friends" Understanding Accessibility in Collaborative Writing for People with Vision Impairments. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1-26.

 Oeldorf-Hirsch, A., & Gergle, D. (2020). 'Who Knows What' Audience Targeting for Question Asking on Facebook. Proceedings of the ACM on Human-Computer Interaction, 4(GROUP), 1-20.

 Savino, G. L., Sturdee, M., Rundé, S., Lohmeier, C., Hecht, B., Prandi, C., ... & Schöning, J. (2020). MapRecorder: analyzing real-world usage of mobile map applications. Behaviour & Information Technology, 1-17.

 Hullman, J. (2019). Why Authors Don't Visualize Uncertainty. IEEE transactions on visualization and computer graphics, 26(1), 130-139.

 Kim, Y. S., Henry Riche, N., Lee, B., Brehmer, M., Pahud, M., Hinckley, K., & Hullman, J. (2019, November). Inking Your Insights: Investigating Digital Externalization Behaviors During Data Analysis. In Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces (pp. 255-267).

 Berrueta, T. A., Abraham, I., & Murphey, T. (2020). Experimental Applications of the Koopman Operator in Active Learning for Control. In The Koopman Operator in Systems and Control (pp. 421-450).

 Springer, Cham. Abraham, I., Handa, A., Ratliff, N., Lowrey, K., Murphey, T., & Fox, D. (2020). Model-based Generalization under Parameter Uncertainty using Path Integral Control. IEEE Robotics and Automation Letters.

 Tang, V., Seetharaman, P., Chao, K., Pardo, B. A., & van der Lee, S. (2020). Automating the Detection of Dynamically Triggered Earthquakes via a Deep Metric Learning Algorithm. Seismological Research Letters.

 Hunsaker, A., Hargittai, E., & Piper, A. M. (2020). Online Social Connectedness and Anxiety Among Older Adults. International Journal of Communication, 14, 29.

 Hjorth, A., Head, B., Brady, C., & Wilensky, U. (2020). LevelSpace: A NetLogo Extension for Multi-Level Agent-Based Modeling. Journal of Artificial Societies and Social Simulation, 23(1), 1-4.

 Bain, C., & Wilensky, U. (2020, February). Vectors of CT-ification: Integrating Computational Activities in STEM Classrooms. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 1361-1361).

 Graham, A. K., Lattie, E. G., & Mohr, D. C. (2019). Experimental Therapeutics for Digital Mental Health. JAMA psychiatry, 76(12), 1223-1224.

 Mohr, D. C., Lattie, E. G., Tomasino, K. N., Kwasny, M. J., Kaiser, S. M., Gray, E. L., ... & Schueller, S. M. (2019). A randomized noninferiority trial evaluating remotely-delivered stepped care for depression using internet cognitive behavioral therapy (CBT) and telephone CBT. Behaviour research and therapy, 123, 103485.

 Lattie, E. G., Graham, A. K., Hadjistavropoulos, H. D., Dear, B. F., Titov, N., & Mohr, D. C. (2019). Guidance on defining the scope and development of text-based coaching protocols for digital mental health interventions. Digital health, 5, 2055207619896145.

 Liu, T., Nicholas, J., Theilig, M. M., Guntuku, S. C., Kording, K., Mohr, D. C., & Ungar, L. (2019). Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(4), 1-23.

 Lattie, E. G., Nicholas, J., Knapp, A. A., Skerl, J. J., Kaiser, S. M., & Mohr, D. C. (2020). Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care. Administration and Policy in Mental Health and Mental Health Services Research, 47(1), 138-149.

 Oh, E. J., Qian, M., Cheung, K., & Mohr, D. C. (2020). Building Health Application Recommender System Using Partially Penalized Regression. In Statistical Modeling in Biomedical Research (pp. 105-123).

 Springer, Cham. Rinne, S. T., Mohr, D. C., Swamy, L., Blok, A. C., Wong, E. S., & Charns, M. P. (2020). National Burnout Trends Among Physicians Working in the Department of Veterans Affairs. Journal of general internal medicine, 1-7.

 Mohr, D. C., Shilton, K., & Hotopf, M. (2020). Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age. NPJ Digital Medicine, 3(1), 1-2.

 Waddimba, A. C., Mohr, D. C., Beckman, H. B., & Meterko, M. M. (2020). Physicians’ perceptions of autonomy support during transition to value-based reimbursement: A multi-center psychometric evaluation of six-item and three-item measures. PloS one, 15(4), e0230907.

 Oppel, E. M., & Mohr, D. C. (2020). Multilevel analysis exploring the relative importance of workplace resources in explaining nurses' workload perceptions: Are we setting the right focus?. Health Care Management Review.

 Schueller, S. M., Steakley-Freeman, D. M., Mohr, D. C., & Yom-Tov, E. (2020). Understanding perceived barriers to treatment from web browsing behavior. Journal of Affective Disorders, 267, 63-66.

 Li, X., Choi, C., Ma, Y., Boonpuek, P., Felts, J. R., Mullenbach, J., Shultz, C., Colgate, E. & Hipwell, M. C. (2020). Electrowetting: a consideration in electroadhesion. IEEE Transactions on Haptics.

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