PIXLISE. $60k for Austin Wright to develop machine learning to detect for spectral anomalies known as diffraction peaks.
PIXLISE. To develop it and make it open source: $50k from the JPL Data Science program for studies of Machine Learning for Astrobiology; $839k from JPL; and $260k from Queensland University of Technology (QUT).
$60,832 from JPL Climate Science Outreach to explain the planetary scale impact of climate change.
MOSAIC. $30K to investigate debugging of unexpected multi-robot system behavior, by visualizing asymmetries in robot worldviews
TrajectorSketch. Our collaborators received $470k to further develop the project for integration into NASA’s Advanced Multi-Mission Operations System (AMMOS) within the Mission Ground System and Services Program (MGSS).
RSketch. Our collaborators received $1.5M to turn it into an application for visual sequencing as part of the Rover Planning Subsystem for the Mars 2020 Ground Data System.
Cellerie. The Elowitz Lab invested $30K to finalize and launch the software.
Ye, C., Hermann, L., Yildirim, N., Bhat, S., Moritz, D. and Davidoff, S. (2021). PIXLISE-C: Exploring the Data Analysis Needs of NASA Scientists for Mineral Identification. Proceedings of the CHI Workshop on Human-Computer Interaction for Space Exploration (SpaceCHI 2021) arXiv preprint arXiv: 2103.16060.
Suyun Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff and Kwan-Liu Ma (2020). A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews. IEEE Conference on Visual Analytics Science and Technology (VAST), Salt Lake City, Utah, 2020.
Abigail C. Allwood, Lawrence A. Wade, Marc C. Foote, et al. (2020). PIXL: Planetary Instrument for X-ray Lithochemistry. in Space Science Reviews Special Issue on Perseverance Rover (SSR). Ken A. Farley, Katie Stack-Morgan and Ken Williford (Eds.) 217(1-4).
Matthew Conlen (2020). FEATURE: How Big is Just One Gigatonne? Published March 3, 2020. https://climate.nasa.gov/news/2933/visualizing-the-quantities-of-climate-change/
Schurman, David; Nair, Pooja; Davidoff; Scott; Galvin; Adrian; Allwood, Abigail; Liu, Yang; Flannery, David; Hodyss, Robert P.; Lombeyda, Santiago; Hendrie, Maggie; Mushkin, Hillary; Heirwegh, Christopher (2019). PIXELATE: Novel Visualization and Computational Methods for the Analysis of Astrobiological Spectroscopy Data. In Proceedings of the 2019 Astrobiology Science Conference.
Boone, J. T., Tosca, M., Galvin, A., Nastan, A., Schurman, D., Nair, P., S. Davidoff, S. Lombeyda, H. Mushkin, & Hendrie, M. (2018, December). Redesigning for Research:
Accessible Data Interaction with MISR Fire Plumes. In AGU Fall Meeting Abstracts.
Conlen, M., Stalla, S., Jin, C., Hendrie, M., Mushkin, H., Lombeyda, S., & Davidoff, S. (2018, April). Towards Design Principles for Visual Analytics in Operations Contexts. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 138). ACM.
Daniel Barella, Sarah Churng, Conrad Egan, Rashad Moarref, Mitul Luhar, Hillary Mushkin, Scott Davidoff, Maggie Hendrie & Beverley J. McKeon (2013) Deconstructing wall turbulence – visualization of resolvent modes. in American Physical Society Division of Fluid Dynamics (APS-DFD) Gallery of Fluid Motion.
Scott Davidoff and Hillary Mushkin spoke about our work in a Design Observer Studio Session co-hosted by Jessica Helfand and Sarah Churng. (June 2020)
PIXLISE was adopted in July 2019 as the primary ground data interface for Mars 2020’s PIXL instrument. It is also part of an Australian PIXL Operations Center based at QUT and sponsored by the Australian Space Agency and Australian Research Council to allow round-the-clock analysis of PIXL data using PIXLISE.
MERLIN is featured in the NASA/JPL Education article, “Seeing Science: Using Visualizations to Help NASA Study Wildfires:” https://www.jpl.nasa.gov/edu/news/2018/10/15/seeing-science-using-visualizations-to-help-nasa-study-wildfires/
RSketch 2017 NSF Vizzy Award Finalist.
3DDNA and TrajectorSketch are featured in Pasadena Now, in an article titled, “Caltech’s Visualization Program Brings Data to Life.” See: http://www.pasadenanow.com/main/caltechs-visualization-program-brings-data-to-life/
Our LIGO project is memorialized in a permanent display on the Caltech campus in the West Bridge building. It was also featured in Caltech E&S March 2015.