Bridging Barriers Collection

We are bridging barriers between fundamental knowledge and real-world problems by connecting disciplines, techniques, and ways of thinking.

Bridging Barriers serves as an incubator for some of the boldest interdisciplinary projects at The University of Texas at Austin by supporting researchers from across the Forty Acres as they form broad teams tasked with identifying urgent, real-world issues — and figuring out the best way to solve them in less than a decade. These projects are rooted in collaboration and academic freedom to produce practical solutions to social, environmental, and humanitarian crises. From artificial intelligence to social inequality, teams around campus are laying the groundwork today for what could become a UT Grand Challenge tomorrow.

Planet Texas 2050

Good Systems

Whole Communities--Whole Health

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1 to 7 of 7 Results

Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area Feb 24, 2022 - AI-Enabled Modelling Hardesty Lewis, Daniel; Zheng, Xing; Carruthers, Alex; Arctur, David; Pierce, Suzanne; Passalacqua, Paola, 2022, "Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area", https://doi.org/10.18738/T8/MOMO42, Texas Data Repository, V1 This dataset provides a map that shows contours for likely flood extent related to elevation within a watershed. The files were generated using a commonly accepted approach to terrain-based analyses for determining flood extent, called Height Above Natural Drainage (HAND), to ana...
AI-Enabled Modelling(University of Texas at Austin) Feb 24, 2022Planet Texas 2050
Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas" Dec 4, 2020 - Burkholderia Shensky, Michael, 2020, "Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"", https://doi.org/10.18738/T8/0NWFY9, Texas Data Repository, V1 Raster datasets extracted from the Texas gSSURGO file geodatabase. Files were processed in ArcGIS software to extract a number of different datasets, saved as individual raster datasets for ease of reuse. Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Te...
Burkholderia(University of Texas at Austin) Nov 15, 2019Planet Texas 2050 Geospatial Analysis of Environmental Suitability for Establishing Burkholderia species in Texas
Good Systems(University of Texas at Austin) Nov 15, 2019 Artificial intelligence is changing the way we live and work — often, for the better — but it has the potential to be harmful in ways we fail to predict. Designing AI technologies that benefit society is our grand challenge.
Whole Communities--Whole Health(University of Texas at Austin) Nov 15, 2019 Whole Communities-Whole Health is committed to the health of families living in Central Texas.
Planet Texas 2050(University of Texas at Austin) Oct 15, 2019 Texas’ population could double by the year 2050. Extreme weather events will bring more floods, more droughts, and more heat. Our state’s resources can’t support those demands. Making Texas resilient is our grand challenge.

Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area

Feb 24, 2022 - AI-Enabled Modelling

Hardesty Lewis, Daniel; Zheng, Xing; Carruthers, Alex; Arctur, David; Pierce, Suzanne; Passalacqua, Paola, 2022, "Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area", https://doi.org/10.18738/T8/MOMO42, Texas Data Repository, V1

This dataset provides a map that shows contours for likely flood extent related to elevation within a watershed. The files were generated using a commonly accepted approach to terrain-based analyses for determining flood extent, called Height Above Natural Drainage (HAND), to ana...

AI-Enabled Modelling(University of Texas at Austin)

Feb 24, 2022Planet Texas 2050

Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"

Dec 4, 2020 - Burkholderia

Shensky, Michael, 2020, "Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"", https://doi.org/10.18738/T8/0NWFY9, Texas Data Repository, V1

Raster datasets extracted from the Texas gSSURGO file geodatabase. Files were processed in ArcGIS software to extract a number of different datasets, saved as individual raster datasets for ease of reuse. Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Te...

Burkholderia(University of Texas at Austin)

Nov 15, 2019Planet Texas 2050

Geospatial Analysis of Environmental Suitability for Establishing Burkholderia species in Texas

Good Systems(University of Texas at Austin)

Nov 15, 2019

Artificial intelligence is changing the way we live and work — often, for the better — but it has the potential to be harmful in ways we fail to predict. Designing AI technologies that benefit society is our grand challenge.

Whole Communities--Whole Health(University of Texas at Austin)

Nov 15, 2019

Whole Communities-Whole Health is committed to the health of families living in Central Texas.

Planet Texas 2050(University of Texas at Austin)

Oct 15, 2019

Texas’ population could double by the year 2050. Extreme weather events will bring more floods, more droughts, and more heat. Our state’s resources can’t support those demands. Making Texas resilient is our grand challenge.

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