Funded projects I am currently leading
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Center for Humanities-based Health AI Innovation (CHHAIN)
The goals of project are to understand how patients perceive trustworthiness in emerging applications of artificial intelligence in healthcare, translate these insights into trustworthy AI design outcomes for entrepreneurs/developers, and to educate the public on emerging ethical, legal, and social issues of AI in health.
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Implementation of an Impact Assessment Tool to Optimize Responsible Stewardship of Genomic Data in the Cloud
The goals of this K01 Mentored Research Scientist Award are to develop, validate and pilot the implementation of an impact assessment tool to track progress on outcomes of genomic data stewardship in emerging cloud environments.
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RFP 2025 Texas - A Humanities-Guided Approach to Building Trust in Health AI Among Rural Patient Communities in Texas
The goals of this project are to engage rural patients and physicians in humanities research, translation and public education/outreach on trustworthy AI innovation in medical practice in Texas.
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Growing the Mission to Enhance Ethics Education, Outreach, and Research in Space (METEORS) Renewal
The goals of this project are to Enhance engagement with relevant stakeholders to augment TRISH’s mission; Promote development of opportunities for business development and management; and assist in executing TRISH’s science, educational, or outreach objectives as stated in the cooperative agreement between TRISH and the NASA.
Genomic and related health data access review
Data access committees (DAC) play critical gatekeeping roles that ensure sensitive genomic data involving humans are used only by authorized users with appropriate permissions and for ethically approved purposes. Current strategies for reviewing data access requests vary considerably across DACs and heavily rely on manual verification. These currently existing strategies are incompatible with the shift towards cloud-based data environments and are inadequate to meet growing demand for dynamic, real-time, and automated access decisions. This NIH funded project will support the development of operational standards for DACs at the NIH and internationally, as well as build technical capacities in implementing automated workflows that help to improve the quality and efficiency of data access review for large, publicly funded genomic data repositories.
AstroEthics
Exploration of the ethical, legal and social issues associated with human experimentation in extra-terrestrial environments
Ethical, legal and social implications of emerging genetic technologies
Rare genetic diseases often present in the earliest stages of life, substantiating an ethical and scientific imperative to study how emerging genetic technologies can be leveraged to improve the health of children.
Global Alliance Regulatory and Ethics Work Stream.
Data access committees (DAC) represent one institutional safeguard charged with applying rules that ensure an ethically permissible balance between data protection and utility in research. The Regulatory and Ethics Work Stream (REWS), in association with Data Use and Research Identities Work Stream (DURI), propose to develop procedural standards for data access committees that facilitate consistency, effectiveness, and robustness of reviews for data access requests to genomic and health-related data.
Ethics review mutual recognition for multi-country submissions in resource-limited settings
The final report summarizing the findings of a project on ethics review mutual recognition in a pandemic context is now available. Ethics review mutual recognition refers to a system where the decisions of one Research Ethics Committee (REC) are accepted by another, based on shared procedural standards. The project, conducted in collaboration with the COVID-19 Clinical Research Coalition’s Ethics Working Group and funded by WHO, examined the challenges and opportunities of ethics review mutual recognition for multi-site COVID-19 research protocols.