Data Visualization Contest Winners!

Thank you to all that submitted projects to our Data Visualization Contest, and thank you to our judges Dr. Anneli Joplin, Dr. Santiago Segarra, Dr. Tracy Volz and Dr. Hadley Wickham.

Rice Data Visualization Contest

First place - pilotPlan: A Temporal Map of Brasilia

by Farès el-Dahdah, Professor, and GIS Specialists: Bruno de Castro Sousa, Uilvim Ettore, and Ualas Rohrer (Humanities Research Center - Rice University)

pilotPlan is an online mapping platform that illustrates the urban evolution of Brasilia, over its entire prehistory, history, and possible futures. Primary sources, such as views, maps, architectural plans, and hyperspectral imagery are located in time and space while their associated visual and geographic data are integrated across a number of databases (including an open-access digital library of images, a geographic information system, an open source relational database, and a content delivery web service).
More information about this project can be found here.

Rice Data Visualization Contest Winner

Second Place - Statistics on Statistics Students

by Yifei Hu, undergrad student, Statistics

Every year, the Statistics Departments at Rice, Harvard and Duke publish lists of recent undergraduate alumni who studied statistics. Data was collected about these alumni who graduated in 2018 through online research in the hopes of discovering interesting insights about the statistics students at these schools. More information about this project can be found here.

Visualization 2nd place

Third Place - Perceptual Accuracy of Complex Tactile Cues

by Jenny Sullivan, Research Program Manager in MECH

This submission is an interactive data visualization based on an experiment we conducted to evaluate how accurately people can perceive complex tactile sensations. Although extensive research has been done on the perception of vibration, relatively few studies have investigated how we perceive other tactile sensations, such as skin stretch or squeeze, especially when multiple tactile sensations are rendered concurrently. Using a set of 32 tactile cues combining vibration, stretch, and squeeze sensations, we performed a user study in which participants were asked to identify the 3 component stimuli after each cue was rendered on their upper arm. More information about this project can be found here.

Visualization 3rd place

Rice D2K Lab

Related Articles

Team’s computer vision system tracks waterfowl, counts them from the air

Rice D2K Lab students build a predictive maintenance model to improve operations with machine learning.