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open access

Building a Team for EXtragalactic AStrophysics (TEXAS) in the Dallas-Fort Worth Metroplex

Description: Data management plan for the grant, "Building a Team for EXtragalactic AStrophysics (TEXAS) in the Dallas-Fort Worth Metroplex". The project will build a new partnership between the University of North Texas (UNT), an R1 Minority-Serving Institution (MSI)/ Hispanic-Serving Institution (HSI), and the University of Texas at Dallas (UTD). During the pilot phase, the team will establish a post-baccalaureate bridge program and organize monthly colloquia and annual symposia to broaden the participation of underrepresented groups in astronomy.
Date: 2022-09-01/2024-08-31
Creator: Li, Yuan
Partner: UNT College of Science
open access

The North Texas-20

Description: Data management plan for the grant, "The North Texas-20". The North Texas-20 project builds upon its established work to redress unmet needs of our region, support for underserved communities, and contribute to psychology workforce diversification.
Date: 2022-09-01/2025-06-30
Creator: Callahan, Jennifer L.
Partner: UNT College of Liberal Arts & Social Sciences
open access

University of North Texas Upward Bound

Description: Data management plan for the grant, "University of North Texas Upward Bound". The University of North Texas (UNT), located in Denton, Texas, proposes a cooperative partnership with four school districts to sponsor a five-year Upward Bound program for eligible students in four target high schools in North Texas.
Date: 2022-09-01/2027-08-31
Creator: Nelson, Tori
Partner: University of North Texas
open access

UNT Upward Bound

Description: Data management plan for the grant, "UNT Upward Bound". The University of North Texas (UNT), located in Denton, Texas, proposes a cooperative partnership with four school districts to sponsor a five-year Upward Bound program for eligible students in four target high schools in North Texas.
Date: 2022-09-01/2027-08-31
Creator: Nelson, Tori
Partner: University of North Texas
open access

HRSA Center of Excellence

Description: Data management plan for the grant, "HRSA Center of Excellence". The North Texas Center for Excellence (COE) will serve as an innovative resource for recruitment, training, and retention of health service psychology (HSP) Hispanic students and faculty, will improve clinical education and cultural competence associated with minority health issues and social determinates of health, and will facilitate research on minority health and health care delivery.
Date: 2022-07-01/2027-06-30
Creator: Ruggero, Camilo J.
Partner: UNT College of Liberal Arts & Social Sciences
open access

Multi-Source Irrigation Status and Type Mapping

Description: Data management plan for the grant, "Multi-Source Irrigation Status and Type Mapping." This grant will quantify the long-term irrigation status and system type changes in the Mississippi Alluvial Valley for an advanced understanding of irrigation-induced water resource changes by integrating multi-source earth observation data, machine learning techniques, artificial intelligence and cloud computing.
Date: 2022-07-01/2025-06-30
Creator: Liang, Lu
Partner: UNT College of Liberal Arts & Social Sciences
open access

Capacity Building: Creating and Sustaining a Pathway for Engineering Majors to Become STEM Teachers

Description: Data management plan for the grant, "Capacity Building: Creating and Sustaining a Pathway for Engineering Majors to Become STEM Teachers." The project aims to serve a national need for building pathways for engineering students to become grade 6-12 STEM teachers in high-need schools. The project will develop a framework for recruitment, retention, and reshaping of graduate teacher certification specifically for engineering students to become STEM teachers. The effort is a collaboration between the College of Engineering and the College of Education at the University of North Texas, a Hispanic Serving Institution.
Date: 2022-06-01/2023-05-31
Creator: Eddy, Colleen & Huang, Zhenhua
Partner: UNT College of Education
open access

Collaborative Research: Place Attachment in Mitigation and Recovery: A Mixed Methods Study of Residential Adjustment Following Wildfires

Description: Data management plan for the grant, "Collaborative Research: Place Attachment in Mitigation and Recovery: A Mixed Methods Study of Residential Adjustment Following Wildfires." This study focuses on understanding how place attachment influences the decisions people make after disasters, specifically residential decisions about where they live and whether they invest in measures that reduce their risk to future disasters. Using three California counties as study sites, and building on a pilot study in these same, wildfire-affected communities, the research team uses photovoice method and phenomenological analyses to develop a deep, contextually grounded understanding of the role of place attachment in residential decisions.
Date: 2022-06-01/2024-05-31
Creator: Schumann, Ronald L., III
Partner: UNT College of Health and Public Service
open access

Collaborative Research: Using Uncertainty Quantification and Validated Computational Models to Analyze Pumping Performance of Valveless, Tubular Hearts

Description: Data management plan for the research grant, "Collaborative Research: Using Uncertainty Quantification and Validated Computational Models to Analyze Pumping Performance of Valveless, Tubular Hearts." This project will develop a computational model of the essential features of the circulatory system: the electrical activity of the heart, muscle contractions of the tube walls, and the fluid-structure interactions of the heart walls and blood within. This computational framework aims to be faithful to that of a real, model animal (tunicate, or sea squirt). The model will then be analyzed with mathematical tools to determine the physical limits of the pumping system. Results of this project will improve the understanding of human heart development at the earliest stages. Also, it will point to how the large, multi-chambered hearts of vertebrates could have evolved from smaller structures.
Date: 2022-05-01/2025-04-30
Creator: He, Yanyan & Cain, John
Partner: UNT College of Science
open access

RINGS: Mobility-driven Spectrum-Agile Resilient mmWave Communication Links for Unmanned Aerial Vehicle Traffic Management in the Sky

Description: Data management plan for the grant "RINGS: Mobility-driven Spectrum-Agile Resilient mmWave Communication Links for Unmanned Aerial Vehicle Traffic Management in the Sky." As the unmanned aviation industry moves towards Advanced Air Mobility (AAM) services, air taxis and air ambulances are expected to become a reality in near future. Handling such a high volume of unmanned air traffic requires innovative solutions for enhanced situational awareness in the airspace. The US Federal Aviation Federal Aviation Administration envisions air tracks specifically reserved for AAM vehicles at altitudes ranging from 500 ft to 2000 ft. Air tracks cross one another at intersections and vehicles may need to share the airspace with other manned and unmanned aerial vehicles. This requires coordination among the vehicles especially during close encounters. Such a coordination requires highly reliable communication links which serve as a substitute for traffic signals on the roads. This proposal addresses this key knowledge gap by investigating strategies for establishing reliable and robust Vehicle-to-Vehicle (V2V) communication links to support AAM services. This project investigates spectrum-agile millimeter wave-based tunable beamforming strategies needed for establishing reliable and robust V2V communications links to support autonomous flight operations in air corridors along with the supporting radio frequency and mixed signal circuits and steerable antennas.
Date: 2022-05-01/2025-04-30
Creator: Namuduri, Kamesh; Mahbub, Ifana; Jayaweera, Sudharman & Sun, Xiang
Partner: UNT College of Engineering
open access

Using uncertainty quantification and machine learning techniques to study the evolution of odor capture

Description: Data management plan for the research grant, "Using uncertainty quantification and machine learning techniques to study the evolution of odor capture." This research proposes the application of uncertainty quantification (UQ) and machine learning (ML) to a CFD model of odor capture to understand the role of hair-array morphology, kinematics, and fluid environment in odor capture. The combination of CFD modeling and UQ&ML techniques can map out the performance space under which these chemosensory hair arrays operate and the relative sensitivity of each parameter of odor capture to construct a global, quantitative understanding of how parameters control odor-capture performance. Furthermore, this analysis can eliminate parameters that have no influence on odor capture, extracting the root principles of odor capture and providing a more efficient way to construct bioinspired devices for chemical detection. This work is of interest to the Army for extracting design principles that can be used for biomimetic and/or bioinspired devices for sensing hazardous chemicals in the environment (e.g. explosives).
Date: 2022-04-01/2025-03-31
Creator: He, Yanyan & Waldrop, Lindsay D.
Partner: UNT College of Science
open access

REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates

Description: Data management plan for the grant, "REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates." TaMaLe (Testing and Machine Learning for Context-Driven Systems), a renewal Research Experience for Undergraduates (REU) Site at University of North Texas, engages 10 undergraduate students for 10 weeks with problems in the context-driven system domain. The students explore research problems to improve the reliability and security of context-driven systems. Context-driven systems, such as mobile apps, face constant streams of input from both users and context changes in their environments. Users interact with apps through touch and speech interfaces. These systems also respond to context events that occur in their environments such as changes to network connection, battery level, screen orientation, and more. The combined explosion of possible user events and context event sequences pose new challenges that require cost effective testing solutions. Students and mentors in this REU program work in small teams to develop and empirically evaluate new software testing techniques for context-driven systems using strategies such as reinforcement learning and combinatorial-based techniques.
Date: 2022-03-01/2025-02-28
Creator: Bryce, Renee & Tunc, Cihan
Partner: UNT College of Engineering
open access

[Data Management Plan for E. Martin & J. Vickery NEA Award]

Description: Data management plan for Eugene Martin and Jacqueline Vickery's National Endowment for the Arts grant. This project will support a series of collaborative media production and storytelling programs serving North Texas. Through partnerships between the University of North Texas' Youth Media Lab and local organizations, the program will offer training for university students and community participants to produce media works such as short films, podcasts, and documentaries that tell underrepresented stories of the local community.
Date: 2022-01-01/2023-01-31
Creator: Martin, Eugene, 1963- & Vickery, Jacqueline Ryan
Partner: UNT College of Liberal Arts & Social Sciences
open access

RAPID: Collaborative Research: Examining Household Movements and Evacuation Decision-Making in a Compounding Risk Event

Description: Data management plan for the grant "RAPID: Collaborative Research: Examining Household Movements and Evacuation Decision-Making in a Compounding Risk Event." The purpose of this Grants for Rapid Response Research (RAPID) collaborative project is to examine household protective action decisions during two simultaneous events: Hurricane Ida and the ongoing COVID-19 pandemic. Time-sensitive data gathered through online, phone, and mail surveys and supplemented with GPS/mobile phone data will be used to examine household protective action decision-making and mobility patterns before, during, and after Hurricane Ida. The findings from this project are expected to save lives and minimize stress during evacuations and return trips. Additionally, the findings of the research will benefit the emergency management community and society as new knowledge related to protective action decisions during simultaneous hazard events can help maximize safety and efficiency in coordinating and managing the movements of displaced residents.
Date: 2022-01-01/2022-12-31
Creator: Siebeneck, Laura K.
Partner: UNT College of Health and Public Service
open access

Collaborative Research: Diversifying Human-Centered Data Science through the Research and Design of Ethical Games

Description: Data management plan for the grant, "Collaborative Research: Diversifying Human-Centered Data Science through the Research and Design of Ethical Games." This project studies collaborative learning in a virtual setting for groups of peers with conflicting methodological cultures and diverse backgrounds. An additional artifact of this two-year, interdisciplinary project will be a prototype of an educational game, targeted towards the underrepresented communities and the greater public, that will bring more people into critical conversations about the roles of AI and data science in our society. The primary aim of this research is the production of novel theories in learning sciences regarding collaborative learning in the face of diverse backgrounds and cultural norms.
Date: 2021-12-01/2023-11-30
Creator: Evans, Sarah
Partner: UNT College of Information
open access

CAREER: A Prosthetic Elbow with Network of Soft and Modular Thermo-Active Actuators for Mobility Impaired Patients

Description: Data management plan for the grant "CAREER: A Prosthetic Elbow with Network of Soft and Modular Thermo-Active Actuators for Mobility Impaired Patients." This NSF Faculty Early Career Development (CAREER) project will develop novel networks of flexible Peltier-based soft actuators designed for rehabilitation.
Date: 2021-10-01/2026-03-31
Creator: Jafari, Amir
Partner: UNT College of Engineering
open access

Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)

Description: Data management plan for the grant "Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)." Research relating to creating a community infrastructure for researchers using multilayer networks (MLN). This project uses a formally established network decoupling approach to perform various aggregate analysis (community, centrality, substructure detection, etc.) using individual layers and composing them. The broader impact of this planning project is to provide meaningful and appropriate analysis tools that are grounded in theory to a broad range of applications from different domains. The focus is on facilitating the mainstream use of multilayer network analysis in data analysis, research and teaching.
Date: 2021-10-01/2022-09-30
Creator: Bhowmick, Sanjukta
Partner: UNT College of Engineering
open access

Improving Student Learning While Decreasing Bias in Teaching Through Simulation

Description: Data management plan for the grant, "Improving Student Learning While Decreasing Bias in Teaching Through Simulation." Research on the simEquity project which will implement a scalable model for developing equitable, culturally responsive teaching practices through simSchool, a simulated teaching environment. The project will identify best practices to help teachers recognize and mitigate implicit biases that often impact student success. The project team will iteratively develop and test a Teaching without Bias curriculum and an AI-driven set of bias reduction tools that can be added to existing simulation instruction modules.
Date: 2021-10-01/2024-09-30
Creator: Christensen, Rhonda & Knezek, Gerald
Partner: UNT College of Information
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