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2024 Projects

Teaming for Interdisciplinary Research Pre-Seed Program

Data Science and AI for Social Impact

Data Science and AI for Social Impact

Dashboard with scientific data displayed,

Ensuring the health and well-being of individuals and communities is crucial for building a thriving and equitable society. Dimensions of health and well-being are dynamic and include multiple physical, mental, and social domains. To effectively address challenges across these domains, multidisciplinary teams employing cutting- edge approaches are essential. Emergent research techniques, including data science and AI-based approaches, can improve current efforts to maximize health and well- being as they provide an approach for quickly and accurately extracting valuable insights from large amounts of data to inform decision-making and develop personalized interventions.

The Advancing Interdisciplinary Research for Social Impact team will work together to harness data science and AI-based approaches to improve the health and well-being of individuals and communities. All participating team members are engaged in data science and AI techniques, including computational modeling, intelligent system design, and large-scale sampling methods. Despite this, we have yet to establish a unified vision for integrating these techniques effectively. Through a translational science team model, we will integrate complementary methodologies and frameworks to translate our research into practical solutions that maximize impact on the health and well-being of individuals and communities. Through enhanced communication and collaboration, we can identify synergies among team member initiatives and develop priority areas within a health and wellbeing framework for optimal impact. By refining our team-based research agenda, we can strengthen our research capacity to provide practical, feasible, and evidence-based approaches to address persistent health and well-being challenges. We anticipate that our efforts will attract funding from sources including NIH, NSF, and multiple foundations.

Team Lead

Orion Mowbray
omowbray@uga.edu
School of Social Work

Team Members

Brian Bauer
brian.bauer@uga.edu
Franklin College of Arts and Sciences
Psychology

Akshat Lakhiwal
Akshat.Lakhiwal@uga.edu
Terry College of Business
Management Information Systems

Aditya Mishra
aditya.mishra@uga.edu
Franklin College of Arts and Sciences
Statistics

Gaurav Sinha
grsinha@uga.edu
School of Social Work

Hui Yi
huiyi@uga.edu
School of Social Work

Allison Dunnigan
ALLISON.DUNNIGAN@uga.edu
School of Social Work

Rachel Fusco
Rachel.Fusco@uga.edu
School of Social Work

Daniel Gibbs
dangibbs@uga.edu
School of Social Work

Liwei Zhang
Liwei.Zhang@uga.edu
School of Social Work