Beginning in August 2021, Szafir began a new position at the University of North Carolina Chapel Hill as an assistant professor of computer science.
Danielle Albers Szafir studies听information visualization, focusing on understanding visual cognition for visualizing information using computer graphics. She received a BS from the University of Washington as a NASA Space Grant Scholar and a PhD听in Computer Sciences from the University of Wisconsin Madison. Szafir was a founding faculty member in the Department of Information Science at CU.
Szafir develops interactive visualization systems and techniques for exploring large and complex data in domains ranging from biology to the humanities. Her work focuses on increasing the scalability and comprehensibility of information visualization by quantifying perception and cognition for design. She also explores how vision science might inform more effective visual interfaces for graphical technologies, including mobile devices and augmented reality. She was a Department of Energy BACTER Fellow, received an Honorable Mention for her dissertation from the IEEE Visualization and Graphics Pioneers, has been awarded Best Paper Awards at IEEE VIS and CIC听and has worked with Google and Tableau Research. She is an affiliate in the Computer Science Department and the Center for Research Data and Digital Scholarship and a fellow in the Institute of Cognitive Science.
Projects
- Touching Trends
- Understanding Data Accessibility for People with Intellectual and Developmental Disabilities
- DIY Interactive Information Physicalization for听Children
- Automating Color Encodings for Data Visualization
- Scaling Qualitative Inductive Analysis through Computational Methods
Publications
S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman,听Ellen Yi-Luen Do,听Michael L. Rivera,听Danielle Albers Szafir. 2023. 鈥溾��. In:听ArXiv听(August 9, 2023).
S. Sandra Bae,听Rishi Vanukuru,听Ruhan Yang,听Peter Gyory,听Ran Zhou,听Ellen Yi-Luen Do,听Danielle Albers Szafir. 2022.听Cultivating Visualization Literacy for Children Through Curiosity and Play. In听Proceedings of IEEE VIS 2022,听听听(Oct.16-21, 2022鈥擮klahoma City, Oklahoma).
S. Sandra Bae,听Clement Zheng,听Mary Etta West,听Ellen Yi-Luen Do,听Samuel Huron,听Danielle Albers Szafir听(2022). "Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization." Association for Computing Machinery, New York, NY, USA. (April 30 - May 5, 2022鈥擭ew Orleans, USA.)听听, see video听, and short presentation听.
M. H. Hong,听J. K. Witt and听D. A. Szafir, "The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots," in听IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 987-997, Jan. 2022, doi: 10.1109/TVCG.2021.3114783.
Sandra Bae,听Ruhan Yang,听Peter Gyory,听Julia Uhr,听Danielle Albers Szafir, Ellen Yi-Luen Do.听Touching Information with DIY Paper Charts & AR Markers, (2021)听颈苍听, June 2021听Pages 433鈥�438, 24 June 2021,听
M. Whitlock听&补尘辫;听D. Albers Szafir.听2021.听Immersive Design Reviews through Situated Qualitative Feedback. In听Evaluating User Experiences in Mixed Reality Workshop at the 2021 Conference on Human Factors in Computing Systems (CHI 2021).听(Yokohama, Japan鈥揗ay 8-13, 2021).听.
W. Payne, Y. Bergner,听M. West,听C. Charp, R. B. Shapiro,听D. Albers Szafir, E. Taylor, & K. DesPortes. 2021. danceON: Culturally Responsive Creative Computing for Data Literacy. (to appear) In听Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI 2021)/听Yokohama, Japan鈥揗ay 8-13, 2021)听[Best Paper Honorable Mention].听DOI:.
B. Ens, B. Bach, M. Cordeil, U. Engelke, M. Serrano, W. Willett, A. Prouzeau, C. Anthes, W. B眉schel, C. Dunne, T. Dwyer, J. Grubert, J. Haga, N. Kirshenbaum, D. Kobayashi, T. Lin, M. Olaosebikan, F. Pointecker, D. Saffo, N. Saquib, D. Schmalstieg,听D. Albers Szafir,听M. Whitlock, & Y. Yang. 2021. Grand Challenges in Immersive Analytics. (to appear) In听Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI鈥�21). DOI:听. (Yokohama, Japan鈥揗ay 8-13, 2021).
K. Wu, E. Petersen, T. Ahmad, D. Burlinson,听E. S. Tanis, &听D. Albers Szafir.听2021.听Understanding Data Accessibility for People with Intellectual and Developmental Disabilities.听(to appear) In听Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI 鈥�21).听(Yokohama, Japan鈥揗ay 8-13, 2021).听DOI:听. [Best Paper Award].听.
J. Muesing, N. Ahmed, L. Burks, M. Iuzzolino, and听D. Albers Szafir, 鈥淔ully Bayesian Human鈥揗achine Data Fusion for Robust Online Dynamic Target Characterization,鈥澨�Journal of Aerospace Information Systems, vol. 18, no. 2, pp. 26鈥�49, Feb. 2021. DOI:听.
D. A. Szafir, F. Samsel, S. Zeller and R. Saltus, "Enabling Crosscutting Visualization for Geoscience," in听IEEE Computer Graphics and Applications, vol. 41, no. 1, pp. 49-57, 1 Jan.-Feb. 2021, DOI: 10.1109/MCG.2020.3043982.
Danielle Albers Szafir, Francesca Samsel, Stephanie Zeller, & Richard Saltus. 鈥淓nabling Crosscutting Visualization for Geoscience.鈥� Computer Graphics & Applications, 41(1): 49鈥�57, 2021. DOI:听.
M. Elliott, C. Xiong, C. Nothelfer, &听D. Albers Szafir. 2021. A Design Space of Vision Science Methods for Visualization Research. (to appear) IEEE Transactions on Visualization, 2021.
K. Reda &听D. Albers Szafir.听 2021. Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference. (to appear) In听IEEE Transactions on Visualization.
M. Whitlock, D. Albers Szafir, &听Kenny Gruchalla. 2020. HydrogenAR: Interactive Data-Driven Storytelling for Dispenser Reliability. In听Proceedings of the International Symposium on Mixed and Augmented Reality听(ISMAR), (Virtual鈥揘ov. 9-13, 2020).
M. Shi,听D. Albers Szafir,听& E. Alexander. 2020. A Survey of Data and Encodings in Word Clouds.听Presented at听Digital Humanities (Ottawa, Canada (virtual)鈥� July 22-24, 2020). DOI:听
Whitlock M.,听Mitchell J., Pfeufer N., Arnot B., Craig R., Wilson B., Chung B., &听Danielle Albers Szafir.听听2020.听MRCAT: In Situ Prototyping of Interactive AR Environments.听International Conference on Virtual and Mixed Reality听(VAMR 2020). DOI:听. (Copenhagen, Denmark, July 22-24, 2020).听
David Burlinson听&补尘辫;听Danielle Albers Szafir. 2020. Shape size judgments are influenced by fill and contour closure.听In听Proceedings of the Annual Meeting of the Vision Sciences Society, (St. Pete Beach, Florida (virtual)鈥揓une 19-24, 2020). doi:
M. Whitlock, D. Leithinger,听D. Szafir, &听D. Albers Szafir. 2020. Toward Effective Multimodal Interaction in Augmented Reality. 4th Workshop on Immersive Analytics: Envisioning Future Productivity for Immersive Analytics at ACM CHI. Honolulu, Hawaii鈥揂pril 25-30, 2020).
M. Whitlock,听S. Smart听and听D. A. Szafir.听2020.听Graphical Perception for Immersive Analytics,听2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Atlanta, GA, USA, 2020, pp. 616-625, doi:听. (Atlanta, Georgia (virtual)鈥揗arch 22-26, 2020).听[Best Paper Nominee]
Muyang Shi,听Danielle Albers Szafir听& Eric Alexander. "A Survey of Data and Encodings in Word Clouds." Digital Humanities, 2020.
H. Muthukrishnan &听D. Albers Szafir. 2019. Using Machine Learning and Visualization for Qualitative Inductive Analyses of Big Data. Machine Learning from User Interaction (MLUI) at IEEE VIS 2019. (Vancouver, Canada鈥揙ct. 20-25, 2019).
Matt Whitlock,听Keke Wu, &听Danielle Albers Szafir. 2019. Designing for Mobile and Immersive Visual Analytics in the Field.听Transactions on Visualization & Computer Graphics, 2020. In听Proceedings of IEEE VIS 2019.听(Vancouver, Canada鈥揙ct.听20-25, 2019). DOI:听
Stephen Smart,听Keke Wu听&补尘辫;听Danielle Albers Szafir. 2019. Color Crafting: Automating the Construction of Designer Quality Color Ramps.听Transactions on Visualization & Computer Graphics.听In听Proceedings of IEEE VIS 2019.听(Vancouver, Canada鈥揙ct.听20-25, 2019). DOI:听
Harshini Muthukrishnan &听Danielle Albers Szafir. 2019. Using Machine Learning and Visualization for Qualitative Inductive Analyses of Big Data.听Machine Learning from User Interactions Workshop at IEEE VIS 2019. (Vancouver, Canada鈥揙ctober 20-25,听2019).听
Keke听Wu, Shea听Tanis, and听Danielle听Szafir. 2019. Designing Communicative Visualization for People with Intellectual Developmental Disabilities.听Visualization for Communication (VisComm) at IEEE VIS 2019.听DOI:.听(Vancouver, Canada鈥揙ct. 20-25 2019).
E. S. Tanis,听D. Albers Szafir, &听K. Wu. Accessible Data: Understanding Visualization Literacy and Graphical Perceptions of People with Intellectual and Developmental Disabilities. Presented at AAIDD, 2019. (Twin Cities, Minnesota鈥揓une 24-27, 2019). DOI:听.
Stephen Smart听and听Danielle Albers Szafir. 2019. Measuring the Separability of Shape, Size, and Color in Scatterplots. In听Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems听(CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 669, 1鈥�14. DOI:听(Glasgow, UK 鈥� May 4-9, 2019).
M. Whitlock听&补尘辫;听D. Albers Szafir. 2019. Situated Prototyping of Data-Driven Applications in Augmented Reality.听In听Interaction Design and Prototyping for Immersive Analytics听(CHI '19). (Glasgow, UK鈥揗ay 4-9, 2019).
Pruss, D., Fujinuma, Y., Daughton, A.R., Paul, M.J., Arnot, B.,听Szafir, D.A., & Boyd-Graber, J. (2019). Zika discourse in the Americas: A multilingual topic analysis of Twitter.听PLoS ONE, 14. DOI:听
J. Muesing, L. Burks, M. Iuzzolino, J. Hatlelid,听D. Albers Szafir, & N. Ahmed. 2019. Fully Bayesian Human-Machine Data Fusion for Robust Dynamic Target Surveillance and Characterization. AIAA SciTech Forum. (San Diego, California鈥揓an. 7-11,听2019). DOI:听
H. Song and听D. A. Szafir,听"Where's My Data? Evaluating Visualizations with Missing Data," in IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 914-924, Jan. 2019, doi: 10.1109/TVCG.2018.2864914.
Szafir DA. Modeling Color Difference for Visualization Design. IEEE Trans Vis Comput Graph. 2018 Jan;24(1):392-401. doi: 10.1109/TVCG.2017.2744359. Epub 2017 Aug 29. PMID: 28866544.
Sarikaya, A., Gleicher, M., &听Szafir, D. A. 2018. Design Factors for Summary Visualization in Visual Analytics. Computer Graphics Forum, 37(3), 145鈥�156.听
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