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Automation of Work / Work of Automation Learning Module
Automation of Work / Work of Automation Learning Module
Dec 8, 2023 - The Future of Work in Health Analytics and Automation: Investigating the Communication that Builds Human-Technology Partnerships
Barbour, Joshua, 2023, "Automation of Work / Work of Automation Learning Module", https://doi.org/10.18738/T8/CTIIKB, Texas Data Repository, V1
These files were produced as a learning module focused on automation inspired by and guided by the research project.
Career Profile Videos
Dec 8, 2023 - The Future of Work in Health Analytics and Automation: Investigating the Communication that Builds Human-Technology Partnerships
Barbour, Joshua, 2023, "Career Profile Videos", https://doi.org/10.18738/T8/0KLWYK, Texas Data Repository, V1
These videos were produced by the project to provide young adults information about the industries and occupations under study. They are also hosted at https://www.apronlab.org/the-future-of-work.
Project Metadata
Dec 8, 2023 - The Future of Work in Health Analytics and Automation: Investigating the Communication that Builds Human-Technology Partnerships
Barbour, Joshua, 2023, "Project Metadata", https://doi.org/10.18738/T8/XB6EMO, Texas Data Repository, V1, UNF:6:N+c5uDnXmldO0ySnWmn1dQ== [fileUNF]
Project meta-data for interviews and observations
Intermediate Data Analysis Documents
Intermediate Data Analysis Documents
Dec 8, 2023 - The Future of Work in Health Analytics and Automation: Investigating the Communication that Builds Human-Technology Partnerships
Barbour, Joshua, 2023, "Intermediate Data Analysis Documents", https://doi.org/10.18738/T8/LHJQJI, Texas Data Repository, V3
These documents were produced during the analysis of project data for publication.
Photos and Videos
Photos and Videos
Dec 8, 2023 - The Future of Work in Health Analytics and Automation: Investigating the Communication that Builds Human-Technology Partnerships
Barbour, Joshua, 2023, "Photos and Videos", https://doi.org/10.18738/T8/XYYN3Q, Texas Data Repository, V1
These photos and videos were taken during the conduct of the project.
The Future of Work in Health Analytics and Automation: Investigating the Communication that Builds Human-Technology Partnerships(University of Texas at Austin)
Dec 8, 2023
These data were produced by researchers in the APRON Lab (www.apronlab.org) between 2018-2023. The research team included Joshua B. Barbour, Shelbey R. Call, and Jared T. Jensen. This material is based upon work supported by the National Science Foundation under Grant No. SES-175...
Martha's Vineyard Signing Community
Dec 4, 2023 - Early American Deaf Communities
Power, Justin M.; Meier, Richard P., 2023, "Martha's Vineyard Signing Community", https://doi.org/10.18738/T8/ERCUQX, Texas Data Repository, V1
This dataset accompanies the paper Power & Meier (2024) in the Journal of Deaf Studies and Deaf Education. The dataset comprises nine tables with information about the deaf population of Martha's Vineyard and the signing community that arose on the island.
Joseph Shirley MeSCN Data(University of Texas at Austin)
Dec 3, 2023
Infrared spectra of MeSCN in select solvents.
Induced seismicity hypocentral depth stability and sensitivity to Vp/Vs in the South Delaware Basin, West Texas
Nov 29, 2023 - Permian
Savvaidis, Alexandros; Lomax, Anthony; Dommisse, Robin; Breton, Caroline; Shirley, Matthew; O'Sullivan, Vincent, 2023, "Induced seismicity hypocentral depth stability and sensitivity to Vp/Vs in the South Delaware Basin, West Texas", https://doi.org/10.18738/T8/49HK1Z, Texas Data Repository, V1
Relocation of earthquake events at the Reeves - Pecos County line, using a 1D Vp model and different Vp/Vs models. Please reference the following paper when you use this dataset: Savvaidis, A., Lomax, A., Dommisse, R., Breton C., Shirley M., and V. O’Sullivan, 2022, Induced seism...
SWMM powerpoint course
Nov 29, 2023 - Online Training
UWRI, 2023, "SWMM powerpoint course", https://doi.org/10.18738/T8/S5PU4Q, Texas Data Repository, V1
Introduction to SWMM powerpoint course developed by UWRI as part of the NCIMM project funded by US EPA
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