Abstract The continuation of a series of hybrid virtual/in-person workshops focused on progress in understanding the causes and mechanisms of health-related disparities in Alzheimer’s disease (AD), related dementias (ADRD), and other prominent age-related diseases to be held in 2025 and 2026 at Duke University, Durham, North Carolina are proposed. The aim of these high-intensity workshops is to disseminate new knowledge on how existing and recently developed analytic methods can be used in concert for detailed, reliable, and reproducible analysis. The long-term goal of the series is to be a resource providing: the diffusion of practical methodological know-how; applied showcasing of novel methodologies being introduced in the field; promotion of rigor and widening the range of application of well-established methods; promotion of the correct use of big health data— alone and in conjunction with clinical, survey, and other data resources—from a methodological, and ethical prospective; a forum for experts and newcomers interested in health disparities and age-related diseases to discuss their ideas, showcase their research, and receive input from experienced peers. In the planning of the 2025-2026 workshops, we will build upon the accomplishments of this series including those funded by the parent grant of this proposal (R13AG069381). As has become customary for this series the exact schedules of the 2025/2026 workshops will be finalized after receiving input from 2024/2025 participants. We have had great success in using this model as evidenced by active participation of representatives of AD research centers, minority institutions, and other methodological focus groups as well as the increasing attendance of our workshops. The proposed 2025/2026 theme is: “Theory and Practice for Explanation of AD/ADRD Health Disparities in Terms of Predictors”. Each workshop will contain two substantive sessions and a perspective, methodologic, and poster session spanning the following topics in AD/ADRD and health disparities: i) methods of artificial intelligence, ii) causal methods in the effects of risk factors, iii) advantages of mixed research, iv) interdisciplinary research and modern infrastructural designs, v) extensions of modern methods for analyses of multimorbidity, vi) comparison of the effects of risk factors across datasets and subpopulations, vii) emerging topics and new challenges, and viii) genetics and the analyses of health disparities. We plan to improve the accessibility level of the methodologic presentations by combining methodological innovations with practical hands-on demonstrations while addressing topics of the highest interest to the audience based on feedback gathered using pool and post-event surveys administered over the course of past Workshops. The brief, high- intensity format brings researchers together in a single inclusive environment, pooling the available expertise rather than diffusing focus across multiple specialized s...