• TAS Hub and Good Systems Strategic Partnership – Seminar on Responsible Research and Innovation (RRI) to Promote Responsible Artificial Intelligence (RAI) at the University of Missouri-Columbia – University of Nottingham, UK, (Webb, H. [PI], Bautista, J.R., [Site PI]),2024-2025
• MizzouForward Faculty, University of Missouri-Columbia, 2024
• Provost’s Early Career Fellow, University of Texas at Austin, 2023
• MACAIF: Machine Learning Auditing for Clinical AI Fairness (Co-I, PI: Hector Menendez). GBP 18,149. Funded by Trustworthy Autonomous Systems Hub (TAS Hub UK) and UT Good Systems. 2023-2024.
• TAME Pain: Trustworthy AssessMEnt of Pain – Listening Between the Lines (Co-I, PI: Jennifer Williams). GBP 18,149. Funded by Trustworthy Autonomous Systems Hub (TAS Hub UK) and UT Good Systems. 2023-2024.
• Development and Psychometric Validation of the AI Ethical Concerns Inventory – Healthcare (AIECIH) (PI). USD 4,000. Funded by UT Good Systems, The University of Texas at Austin. 2022-2023
• Good Systems Faculty Fellowship, University of Texas at Austin, 2022
• Boyvey Postdoctoral Teaching Fellowship, School of Information, University of Texas at Austin, 2021
• Bullard Postdoctoral Research Fellowship, School of Information, University of Texas at Austin, 2019

Bautista, J.R., Zhang, Y., & Gwizdka, J. (2023). Correcting health misinformation on social media: Effect of social correction methods on vaccine skeptics’ intention to take COVID-19 vaccine. New Media & Society. https://doi.org/10.1177/14614448231169697

Bautista, J.R., Harrell, D.T., Hanson, L., Oliveira, E., Meyer, E.T., Khurshid, A. (2023). MediLinker: A blockchain-based decentralized health information management platform for patient-centric healthcare. Frontiers in Big Data (Special Issue: Innovations in Digital Health and Wellbeing), 6, 1146023.

Bautista, J.R., Zhang, Y., & Gwizdka, J. (2022). Predicting healthcare professionals’ intention to correct health misinformation on social media. Telematics & Informatics, 73, 101864.

Bautista, J.R.*, Muhammad, U.#, Harrell, D.T., Meyer, E.T., & Khurshid, A. (2022). Clinical, organizational and regulatory, and ethical and social (CORES) issues and recommendations on blockchain deployment for healthcare: Evidence from experts. Blockchain in Healthcare Today, 5, 199.

Bautista, J.R., Zhang, Y., & Gwizdka, J. (2021). U.S. physicians’ and nurses’ motivations, barriers, and recommendations to correct health misinformation on social media: Qualitative interview study. JMIR Public Health and Surveillance, 7(9), e27715.

Bautista, J.R., Zhang, Y., & Gwizdka, J. (2021). Healthcare professionals’ acts of correcting health misinformation on social media. International Journal of Medical Informatics, 148, 104375.

Bautista, J.R. (2020). Policy recommendations on nurses’ use of smartphones in the Philippines. International Journal of Medical Informatics, 142, 104250.

Bautista, J.R., Lin, T.T.C., & Theng, Y.L. (2020). The influence of organizational issues on nurse administrators’ support to staff nurses’ use of smartphones for work purposes in the Philippines: Focus group study. JMIR Nursing, 3(1), e17040.

Bautista, J.R. (2019). Filipino nurses’ use of smartphones in clinical settings. CIN: Computers, Informatics, Nursing, 37(2), 80-89.

Bautista, J.R. (2023, September). Teaching data analysis, visualization, and reporting in public health informatics. Presented at the Texas Health Informatics Alliance Conference 2023. Houston, TX.

Schneiders, E., Williams, J., Farahi, A., Seabrooke, T., Vigneswaran, G., Bautista, J.R., Dowthwaite L., & Piskopani, A-M. (2023, July). TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. In Proceedings of the First International Symposium on Trustworthy Autonomous Systems 2023 (TAS ‘23), Edinburgh, UK. *Honorable Mention (Poster)

Barnard, P., Bautista, J.R., Krook, J., Liu, A., Menéndez, H., Schmidt, A., & Sookoor, T. (2023, July) Machine Learning Auditing for Clinical AI Fairness (MACAIF). In Proceedings of the First International Symposium on Trustworthy Autonomous Systems 2023 (TAS ‘23), Edinburgh, UK.

Sheng, A., Gisondi, M.A., Gottlieb, M., Westafer, L.M., & Bautista, J.R. (2023, May). The role of graduate medical education in the fight against health misinformation. Presented at the 2023 Society for Academic Emergency Medicine (SAEM) Annual Meeting. Austin, TX.

Bautista, J.R. & Sheng, A. (2023, March). The role of graduate medical education in the fight against health misinformation. Presented at the 2023 Council of Residency Directors in Emergency Medicine (CORD) Academic Assembly. Las Vegas, NV.

Bautista, J.R., Alex, R., & Fleischmann, K.R. (2022, September) Development and validation of the AI Ethical Concerns Inventory – Healthcare (AIECIH). Presented at the Texas Health Informatics Alliance Conference 2022. Arlington, TX.

Bautista, J.R., Harrell, D.T., Meyer, E.T., Oliveira, E., & Khurshid, A. (2021, November). CORES Issues on Blockchain Deployment in Healthcare: Evidence from Experts. Presented at the 5th Converge to Accelerate (ConV2X 2021). USA.

Bautista, J.R. (2021, September). Effect of correction source and correction delivery on intention to take COVID-19 vaccination. Presented at The 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM 2021). Oxford, UK.

Bautista, J.R., Zhang, Y., & Gwizdka, J. (2021, September). Predicting healthcare professionals’ intention to correct health misinformation on social media. Presented at The 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM 2021). Oxford, UK.

Bautista, J.R. (2021, September). Healthcare professionals as digital first responders in fighting COVID-19 misinformation on social media: Lesson learned from a mixed-method research. Presented at the Texas Health Informatics Alliance Conference 2021. Dallas, TX.