Past Grants/Awards

The Teacher Retirement System of Texas (TRS) is the largest public retirement system in Texas, serving nearly 1.9 million people. TRS disseminates its information to the public through a variety of outlets, including the TRS website (www.trs.texas.gov), which provides access to the member portal, TRS publications, forms, and other informational content. TRS is undertaking a robust, multi-year enterprise project to rewrite, streamline, restructure, and redesign TRS’ website to meet the highest standards of usability and web accessibility. 

As part of the re-design process to build a user-centric website, TRS plans to conduct a series of formal usability test sessions. TRS requires support to organize and facilitate the website usability testing sessions. The contractor shall support TRS with tasks such as assisting with recruiting and scheduling participants, planning, and conducting the usability test sessions and generating reports to be shared with stakeholders. The participants for the test sessions will be representative of potential users of the TRS website, will be drawn from the web-using public, and will be recruited according to other reasonable demographic screening criteria specified by TRS. 

The University of Texas at Austin will explore libraries’ current and potential role as mental health resources for emerging adults (18–29 years). Using surveys, interviews, and participatory design methods, the project tea, will investigate emerging adults’ needs for and practices of seeking help for mental health concerns and their perceptions of public and academic libraries as information and community hubs for mental health help-seeking. The team also will examine public and academic librarians’ perceived community needs around mental health support, efforts, and barriers to providing such support. Finally, the team will explore potential library programs, services, and tools to promote mental health help-seeking. 

The project will result in a social ecological model of sources for mental health help-seeking among emerging adults; a sociotechnical framework of library mental health services for emerging adults; case studies of existing library programs and services; and examples of potential programs and services to support librarians in creating and planning mental health interventions.

A research team led by Professor Ying Ding was awarded a $1 million dollar research grant from the National Institutes of Health (NIH) Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Program to develop novel interventions targeting risk and protective factors among Black youth with the goal of reducing the suicide rate. The team's objective is twofold: to develop and validate new AI approaches to identify individual-level social risks of Black youth as well as develop approaches that enhance trust within underserved communities regarding the use of artificial intelligence/machine learning (AI/ML).

Professor Ding is joined by an interdisciplinary team of experts, including Professor Craig Watkins from the Moody College of Communication and Professor Yan Leng from McCombs School of Business at The University of Texas at Austin, and Professors Yifan Peng, Yunyu Xiao, and Jyoti Pathak from Cornell Medicine. Additionally, the research team will collaborate with two Historically Black Colleges and Universities (HBCUs), Prairie View A&M and Tuskegee University. This partnership will allow researchers to work with health professionals from historically underrepresented groups to investigate the culturally specific barriers that impact trust and hinder deploying machine learning techniques to address the behavioral health crises among Black youth.

This collaborative project investigates the lack of diverse, representative datasets and insights in the development and use of technology. It explore the effects of disparities on the ability of technologists (e.g., practitioners, designers, software developers) to develop technology that addresses and mitigates systemic societal racism and historically marginalized individuals' ability to feel seen and heard in the technology with which they engage. The implications of this project are threefold: 1) it supports building relationships between technologists and technology users by understanding the values that most impact historically marginalized communities' engagement and data contributions; 2) given access to more diverse data and insights, the project provides technologists with interventions that empower them to make use of these data and insights in practice; 3) lastly, the work provides support and affirmation for the technologists who are already making these explicit considerations in their work without the adequate support. More broadly, insights from this project can be applied in practice to promote racial equity and ensure systemic racism is an explicit consideration in STEM education and workforce development by incorporating more equitable practices in technologists' workflow. This study seeks to answer three main research questions: 1) What are the barriers to engaging and amplifying marginalized voices in technological spaces and data sets for both technologists and users? 2) How can marginalized groups be engage when designing and developing data-centric systems without sacrificing their safety, security, and trust? 3) What does it look like to provide interventions for engaging the margins to technologists without compromising the safe spaces for marginalized groups? 

Using a multi-modal approach, the project will examine how researchers and technologists can best learn to engage in data-centric research with marginalized communities in an ethically and socially responsible manner that centers the rights and values of the communities of interest. Culturally relevant approaches and grounding philosophies will drive the research methods and analyses. Through surveys, semi-structured interviews, design workshops utilizing a combination of participatory design and community-based approaches, as well as case study analysis to collect qualitative and quantitative data, the research team will develop an intervention that supports technologists in responsible engagement. Aside from real-world implementation, this project will share its findings through academic and community-facing venues, such as journal publications, conference presentations, op-eds, blogs, workshops, and social media. 

This collaborative project is funded through the Racial Equity in STEM Education program (EDU Racial Equity). The program supports research and practice projects that investigate how considerations of racial equity factor into the improvement of science, technology, engineering, and mathematics (STEM) education and workforce. Awarded projects seek to center the voices, knowledge, and experiences of the individuals, communities, and institutions most impacted by systemic inequities within the STEM enterprise. This program aligns with NSF's core value of supporting outstanding researchers and innovative thinkers from across the Nation's diversity of demographic groups, regions, and types of organizations. Programs across EDU contribute funds to the Racial Equity program in recognition of the alignment of its projects with the collective research and development thrusts of the four divisions of the directorate.

Software systems have become an integral part of public and private sector management, assisting and automating critical human decisions such as selecting people and allocating resources. Emerging evidence suggests that software systems for algorithmic management can significantly undermine workforce well-being and may be poorly suited to fostering accountability to existing labor law. For example, warehouse workers are under serious physical and psychological stress due to task assignment and tracking without appropriate break times. On-demand ride drivers feel that automated evaluation is unfair and distrust the system's opaque payment calculations which has led to worker lawsuits for wage underpayment. Shift workers suffer from unpredictable schedules that destabilize work-life balance and disrupt their ability to plan ahead. Meanwhile, there is not yet an established mechanism to regulate such software systems. For example, there is no expert consensus on how to apply concepts of fairness in software systems. Existing work laws have not kept pace with emerging forms of work, such as algorithmic management and digital labor platforms that introduce new risk to workers, including work-schedule volatility and employer surveillance of workers both on and off the job. 

To tackle these challenges, we aim to develop technical approaches that can (1) make software accountable to existing law, and (2) address the gaps in existing law by measuring the negative impacts of certain software use and behavior, so as to help stakeholders better mitigate those effects. In other words, we aim to make software accountable to law and policy, and leverage it to make software users (individuals and firms) accountable to the affected population and the public. This project is developing novel methods to enable standards and disclosure-based regulation in and through software systems drawing from formal methods, human-computer interaction, sociology, public policy, and law throughout the software development cycle. The work will focus on algorithmic work scheduling, which impacts shift workers who make up 25% of workers in the United States. It will take a participatory approach involving stakeholders, public policy and legal experts, governments, commercial software companies, as well as software users in firms and those affected by the software's use, in the software design and evaluation. 

The research will take place in three thrusts in the context of algorithmic scheduling: (1) participatory formalization of regulatory software requirements, (2) scalable and interactive formal methods and automated reasoning for software guarantees and decision support, and (3) regulatory outcome evaluation and monitoring. By developing accountable scheduling software, the project has the potential for significant broader impacts by giving businesses the tools they need for compliance with and accountability to existing work scheduling regulations, as well as the capacity to provide more schedule stability and predictability in their business operations.