Carolina Nobre

Contact
cnobre@g.harvard.edu
Harvard John A. Paulson School of Engineering and Applied Sciences
150 Western Ave, Room 2419
Boston, MA, 02134

Curriculum Vitae
Google Scholar
Twitter
GitHub

Bio


I am a Postdoctoral Fellow with Hanspeter Pfister's Visual Computing Group at the School of Engineering and Applied Sciences at Harvard University. My current research projects focus on how viewers make sense of and establish trust in visualizations.

Before joining Harvard University, I received my PhD with Alex Lex at the Visualization Design Lab at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. I have a master’s degree in software engineering from the Harvard Extension School, as well as a previous life as an oceanographer studying the Arctic Ocean and its effect on our planet.

I am the receipient of the Harvard Data Science Inititative Fellowship, as well as a 2020 Wojcicki Troper Fellow. I also received a VGTC Outstanding Dissertation Honorable Mention for my PhD Dissertation on Visualizing Multivariate Networks.

Research Overview


I am data visualization designer and researcher. My research focuses on multivariate network visualizations and investigating how visual literacy can be captured and increased via provenance analysis and experiential learning approaches. Most recently I was awarded an HDSI research grant to investigate the mechanisms by which visualization can promote trust in science

Teaching


Information Design and Visual Analytics | INSH 5302 (Northeastern University)
Lead Faculty Spring 2022
Class Syllabus

Data Visualization | ISYS6645 (Boston College)
Lead Faculty Fall 2021, Spring 2022
Class Syllabus

Data Visualization | CS 171 (Harvard)
Teaching Fellow Fall 2020, Fall 2021
http://www.cs171.org

Topics in Data Visualization | CS 271 (Harvard)
Teaching Fellow Spring 2021
https://cs-271.github.io/

Visualization for Data Science | CS 6630 (University of Utah)
Teaching Fellow Fall 2017, Fall 2018
https://www.dataviscourse.net

Publications


Protograph: An Approachable and Extensible Toolkit for Graph Visualization and Animation
Daniel Rodrigues, Joel Martinez, Priyan Vaithilingam, Johanna Beyer, Carolina Nobre
Preprint, 2021
The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations
Yalong Yang, Wenyu Xia, Fritz Lekschas, Carolina Nobre, Robert Krueger, Hanspeter Pfsiter
Preprint, 2021
reVISit: Looking Under the Hood of Interactive Visualization Studies
Carolina Nobre, Dylan Wootton, Zack Cutler, Lane Harrison, Hanspeter Pfister, Alexander Lex
2021 CHI Conference on Human Factors in Computing Systems (pp. 1-13). 2021
Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training
Tica Lin, Rishi Singh, Yalong Yang, Carolina Nobre, Johanna Beyer, Maurice A. Smith, and Hanspeter Pfster
2021 CHI Conference on Human Factors in Computing Systems, 2021
Predicting Intent Behind Selections in Scatterplot Visualizations
Kiran Gadhave, Jochen Görtler, Zach Cutler, Carolina Nobre, Oliver Deussen, Miriah Meyer, Jeff Phillips, Alexander Lex
Information Visualization, 20(4): 207–228, doi:10.1177/14738716211038604, 2021.
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection
Spandan Madan, S, Bylinskii Z, Carolina Nobre, Tancik M, Recasens A, Zhong K, Alsheikh S, Oliva A, Durand F, and Pfister H
2021 IEEE 14th Pacific Visualization Symposium (PacificVis), 2021
Evaluating Interactive Multivariate Network Visualization Techniques using a Validated Design and Crowd-Sourcing Approach
Carolina Nobre, Dylan Wootton, Lane Harrison, Alexander Lex
2020 CHI Conference on Human Factors in Computing Systems, pp. 1-12. 2020
The State of the Art in Visualizing Multivariate Networks
Carolina Nobre, Marc Streit, Miriah Meyer, Alexander Lex
Computer Graphics Forum (EuroVis ’19), 38: 807-832, doi:10.1111/cgf.13728, 2019
Origraph: Interactive Network Wrangling
Alex Bigelow, Carolina Nobre, Miriah Meyer, Alexander Lex
2019 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 81-92. IEEE, 2019
Juniper: A Tree+Table Approach to Multivariate Graph Visualization
Carolina Nobre, Marc Streit, Alexander Lex
IEEE Transactions on Visualization and Computer Graphics (InfoVis ’18), 25(1): 544-554, doi:10.1109/TVCG.2018.2865149, 2019
Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs
Carolina Nobre, Nils Gehlenborg, Hilary Coon, Alexander Lex
IEEE Transactions on Visualization and Computer Graphics, 25(3): 1543-1558, doi:10.1109/TVCG.2018.2811488, 2019
OceanPaths: Visualizing Multivariate Oceanography Data
Carolina Nobre, Alexander Lex
Proceedings of the Eurographics Conference on Visualization (EuroVis ’15) - Short Papers, doi:10.2312/eurovisshort.20151124, 2015