Danielle Albers Szafir, Alper Sarikaya, and Michael Gleicher. “Lightness Constancy in Surface Visualization.” Transactions on Visualization and Computer Graphics, 2014. (in revision)
Alper Sarikaya, Danielle Albers, Julie Mitchell, and Michael Gleicher. “Visualizing Validation of Protein Surface Classifiers.” Computer Graphics Forum, 33(3), 2014. In Proceedings of Eurographics Conference on Visualization (EuroVis).

Paper | BibTex | Project Page
Danielle Albers, Colin Dewey, and Michael Gleicher. “Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization.” IEEE Transactions of Visualization and Computer Graphics, 17(5), 2011. In Proceedings of IEEE Information Visualization.

Paper | BibTex | Project Site | Talk Slides | Video
Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles Hansen, and Jonathan Roberts. “Visual Comparison for Information Visualization.” Information Visualization, 10(4), 2011.

Paper | BibTex | Project Page


Danielle Albers Szafir, Maureen Stone, and Michael Gleicher. “Adapting Color Difference for Design.” 22nd Color and Imaging Conference, 2014. [Best Paper Award]

Paper | BibTex | Talk Slides
Maureen Stone, Danielle Albers Szafir, and Vidya Setlur. “An Engineering Model for Color Discriminability as a Function of Size.” 22nd Color and Imaging Conference, 2014.

Paper | BibTex
Danielle Albers, Michael Correll, and Michael Gleicher. “Task-Driven Evaluation of Aggregation in Time Series Visualization.” CHI ’14: Proceedings of the 2014 Annual Conference on Human Factors in Computing Systems, 2014.

Paper | BibTex | Talk Slides
Michael Correll, Danielle Albers, Steve Franconeri, and Michael Gleicher. “Comparing Averages in Time Series Data.” CHI ’12: Proceedings of the 2012 Annual Conference on Human Factors in Computing Systems, 2012.

Paper | BibTex


Danielle Albers, Michael Correll, Michael Gleicher, and Steve Franconeri. “Ensemble Processing of Color and Shape: Beyond Mean Judgments.” Journal of Vision, 2014.

Abstract | BibTex | Poster
Danielle Albers, Alper Sarikaya, and Michael Gleicher. “Lightness Constancy in Surface Visualization.” Poster Abstracts of IEEE VIS, 2013. [Best Poster Award]

Extended Abstract | BibTex | Poster
Alper Sarikaya, Danielle Albers, and Michael Gleicher. “Understanding Performance of Protein Structural Classifiers.” Poster Abstracts of IEEE VIS, 2013.

Extended Abstract | BibTex
Danielle Albers, Colin Dewey, and Michael Gleicher. “Sequence Surveyor: Leveraging Overview for Large-Scale Genomic Alignment Visualization.” 2011 VizBi: Visualizing Biological Data Poster Session, 2011.

Abstract | BibTex | Poster
Danielle Albers and Michael Gleicher. “Poster: Perceptual Principles for Scalable Sequence Alignment Visualization.” IEEE Information Visualization Poster Proceedings, 2010.

Extended Abstract | BibTex | Poster
Danielle Albers and Michael Gleicher. “Perceptual Principles for Scalable Sequence Alignment Visualization.” Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization, 2010.

Extended Abstract | BibTex | Poster


Danielle Albers Szafir. "Informing Visualization in the Humanities through Perception and Genomics." Genres of Scholarly Knowledge Production, Umeå University, Umeå, Sweden, 2014.
Danielle Albers Szafir. "Insights at a Glance: Visualization at UW-Madison." MERI at a Glance, McPherson Eye Research Institute, Madison, Wisconsin, 2014.

Talk Slides


Michael Correll, Eric Alexander, Danielle Albers Szafir, Alper Sarikaya, and Michael Gleicher. “Navigating Reductionism and Holism in Evaluation.” BELIV '14: Beyond Time and Errors-Novel Evaluation Methods for Visualization, 2014.

Paper | BibTex
Danielle Albers Szafir. “Thinking with Data.” Digital Humanities Research Network Workshop, 2014.

Talk Slides
Danielle Albers. “Perceptually Informed Scalable Sequence Comparison.” IEEE VIS Doctoral Colloquium, 2013.
Danielle Albers and Michael Gleicher. “Seeing Double: Crowdsourced Models of Color Discrimination.” Midgraph: Midwest Graphics Workshop, 2012.

Talk Slides


Andrew W. Mellon Workshop Grant. "Digital Humanities Research Network." 2014.
BACTER Research Fellowship. Department of Energy’s Institute for Bringing Computational Techniques to Energy Research (BACTER) at the University of Wisconsin-Madison, 2010-2012.