Melody Goodman
Melody Goodman
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Dean, School of Global Public Health
Professor of Biostatistics
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Professional overview
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Dr. Melody S. Goodman is a biostatistician and research methodologist. Her work is anchored upon moving beyond defining problems and focuses on developing solutions using partner-engaged research approaches. Dr. Goodman’s research efforts seek to develop a more rigorous understanding of the social risk factors contributing to urban health outcomes. Her work aims to develop solutions for improving health in high-risk populations. She conducts translational research that bridges the gap between research and practice. Through rigorous attention to study design, measurement, and the use of cutting-edge statistical analysis methods, her contributions have spanned the areas of prevention, treatment, intervention, and policy.
Dr. Goodman led the team that developed and comprehensively evaluated the Research Engagement Survey Tool, a quantitative survey measure to assess the level of partner engagement in research studies from the non-academic partner perspective. With numerous funders supporting her work (e.g., National Institutes of Health, Robert Wood Johnson Foundation, Verizon Foundation, Long Island Community Foundation, Patient-Centered Outcomes Research Institute, and Susan G. Komen), she has published over 150 peer-reviewed journal articles and two books (2018 Routledge/Taylor & Francis Group): 1) Public Health Research Methods for Partnerships and Practice and 2) Biostatistics for Clinical and Public Health Research, which now has a second edition (2026 Routledge/Taylor & Francis Group). She is a Fellow of the American Statistical Association, New York Academy of Medicine, and the inaugural recipient of the Societal Impact Award from the Caucus for Women in Statistics.
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Education
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BS, Economics and Applied Mathematics & Statistics, State University of New York at Stony Brook, Stony Brook, NYMS, Biostatistics, Harvard University, Cambridge, MAPhD, Biostatistics, Harvard University, Cambridge, MA
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Honors and awards
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Fellow, American Statistical Association (2021)Societal Impact Award, Caucus for Women in Statistics (2021)Network Builder Award, Robert Wood Johnson Foundation New Connections (2019)Siteman Cancer Center “Rock Doc” (2013)Satcher Health Leadership Institute - Morehouse School of Medicine, Community Health Leadership Institute Intensive Cohort II (2013)Women of the Year - Health, National Coalition of 100 Black Women, Inc. - Suffolk Chapter (2010)President’s Award for Teaching Excellence - Stony Brook University (2009)President’s Award for Excellence in Team Achievement - Stony Brook University (2008)
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Areas of research and study
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BiostatisticsCommunity HealthCommunity-based Participatory ResearchDissemination and Implementation of Evidence-based ProgramsQuantitative Research
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Publications
Publications
Structural Determinants of Health Literacy Among Formerly Incarcerated Individuals: Insights from the Survey of Racism and Public Health
AbstractGoodman, M. (n.d.).Publication year
2023Journal title
Health Literacy Research and PracticeAbstract~Survey study of anesthesiologists' and surgeons' ordering of unnecessary preoperative laboratory tests
AbstractKatz, R. I., Dexter, F., Rosenfeld, K., Wolfe, L., Redmond, V., Agarwal, D., Salik, I., Goldsteen, K., Goodman, M., & Glass, P. S. (n.d.).Publication year
2011Journal title
Anesthesia and AnalgesiaVolume
112Issue
1Page(s)
207-212AbstractBACKGROUND: Nearly 20 years ago it was shown that patients are exposed to unnecessary preoperative testing that is both costly and has associated morbidity. To determine whether such unnecessary testing persists, we performed internal and external surveys to quantify the incidence of unnecessary preoperative testing and to identify strategies for reduction. METHODS: The medical records of 1000 consecutive patients scheduled for surgery at our institution were examined for testing outside of our approved guidelines. Subsequently, 4 scenarios were constructed to solicit physician views of appropriate testing: a 45-year-old woman for a laparoscopic ovarian cystectomy, a 23-year-old woman for right inguinal herniorrhaphy, a 50-year-old man for a hemithyroidectomy, and a 50-year-old man for a total hip replacement. One or more of these scenarios were sent to directors of preoperative clinics (all), United States anesthesiologists (all), gynecologists (cystectomy), general surgeons (herniorrhaphy), otolaryngologists (thyroidectomy), and orthopedists (hip replacement). Potential predictors of ordering and demographic information were collected. RESULTS: More than half of our patients had at least 1 unnecessary test based on our testing guidelines (95% lower confidence limit = 52%). The 17 responding preoperative directors were unanimous for 36 of the 72 combinations of test or consult (henceforth "test") and scenario as being unnecessary. Among the 175 anesthesiologists responding to the survey, 46% ordered 1 or more of the tests unanimously considered unnecessary by the preoperative directors for the given scenario. Among 17 potential predictors of anesthesiologists' unnecessary ordering, only training completed before 1980 significantly increased the risk of ordering at least 1 unnecessary test (by 48%, 95% confidence limits >29%). Anesthesiologists were 53% less likely to order at least 1 unnecessary test relative to gynecologists for the cystectomy scenario, 64% less likely than general surgeons for the herniorrhaphy scenario, 66% less likely than otolaryngologists for the thyroidectomy scenario, and 67% less likely than orthopedists for the hip replacement scenario. The 95% lower confidence limits were all >40%. CONCLUSIONS: The percentage of patients with at least 1 unnecessary test is a suitable end point for monitoring providers' ordering. The incidence can be high despite efforts at improvement, but may be reduced if anesthesiologists rather than surgeons order presurgical tests and consults. However, anesthesia groups should be cognizant of potential heterogeneity among them based on time since training.Systematic Review of Quantitative Measures of Stakeholder Engagement
AbstractGoodman, M., Bowen, D. J., Hyams, T., Goodman, M., West, K. M., Harris-Wai, J., & Yu, J. H. (n.d.).Publication year
2017Journal title
Clinical and translational scienceVolume
10Issue
5Page(s)
314-336Abstract~The impact of teach-back on comprehension of discharge instructions and satisfaction among emergency patients with limited health literacy : A randomized, controlled study
AbstractGriffey, R. T., Shin, N., Jones, S., Aginam, N., Gross, M., Kinsella, Y., Williams, J. A., Carpenter, C. R., Goodman, M., & Kaphingst, K. A. (n.d.).Publication year
2015Journal title
Journal of Communication in HealthcareVolume
8Issue
1Page(s)
10-21AbstractObjective: Recommended as a ‘universal precaution’ for improving provider–patient communication, teach-back has a limited evidence base. Discharge from the emergency department (ED) to home is an important high-risk transition of care with potential for miscommunication of critical information. We examined whether teach-back improves: comprehension and perceived comprehension of discharge instructions and satisfaction among patients with limited health literacy (LHL) in the ED. Methods: We performed a randomized, controlled study among adult patients with LHL, randomized to teach-back or standard discharge instructions. Patients completed an audio-recorded structured interview evaluating comprehension and perceived comprehension of (1) diagnosis, (2) ED course, (3) post-ED care, and (4) reasons to return and satisfaction using four Consumer Assessment of Healthcare Providers and Systems questions. Concordance with the medical record was rated using a five-level scale. We analyzed differences between groups using multivariable ordinal logistic regression. Results: Patients randomized to receive teach-back had higher comprehension of post-ED care areas: post-ED medication (P < 0.02), self-care (P < 0.03), and follow-up instructions (P < 0.0001), but no change in patient satisfaction or perceived comprehension. Conclusion: Teach-back appears to improve comprehension of post-ED care instructions but not satisfaction or perceived comprehension. Our data from a randomized, controlled study support the effectiveness of teach-back in a busy clinical setting. Further research is needed to test the utility and feasibility of teach-back for routine use including its impacts on distal outcomes.The measurement of racism in health inequities research
AbstractGoodman, M. (n.d.).Publication year
2023AbstractPresented During: Measures & Applications for Relating Historical Structural Racism with Contemporary Health OutcomesThe measurement of racism in health inequities research
AbstractWizentier, M. M., Stephenson, B. J., & Goodman, M. (n.d.).Publication year
2023Journal title
Epidemiologic ReviewsVolume
45Issue
1Page(s)
32-43AbstractThere is limited literature on the measures and metrics used to examine racism in the health inequities literature. Health inequities research is continuously evolving, with the number of publications increasing over time. However, there is limited knowledge on the best measures and methods to examine the impact of different levels of racism (institutionalized, personally mediated, and internalized) on health inequities. Advanced statistical methods have the potential to be used in new ways to examine the relationship between racism and health inequities. In this review, we conduct a descriptive examination of the measurement of racism in the health inequities epidemiologic literature. We examine the study design, methods used for analysis, types of measures used (e.g., composite, absolute, relative), number of measures used, phase of research (detect, understand, solutions), viewpoint (oppressor, oppressed), and components of structural racism measures (historical context, geographical context, multifaceted nature). We discuss methods (e.g., Peters–Belson, latent class analysis, difference in differences) that have demonstrated potential for future work. The articles reviewed were limited to the detect (25%) and understand (75%) phases, with no studies in the solutions phase. Although the majority (56%) of studies had cross-sectional designs, many authors pointed to the need for longitudinal and multilevel data for further exploration. We examined study design features as mutually exclusive elements. However, racism is a multifaceted system and the measurement of racism in many studies does not fit into a single category. As the literature grows, the significance of methodological and measurement triangulation to assess racism should be investigated.The Science of Partner Engagement in Research: Development and Validation of Evaluation Metrics
AbstractGoodman, M. (n.d.).Publication year
2023AbstractA National Academies committee hosted a public workshop series in 2023. Speakers invited by the committee discussed the current state of racial and ethnic health care disparities in the U.S., highlighted major drivers of health care disparities, provided insight into successful and unsuccessful interventions, identified gaps in the evidence base and proposed strategies to close those gaps, and considered ways to scale and spread effective interventions to reduce racial and ethnic inequities in health care. This workshop series is part of an ongoing consensus study examining the current state of racial and ethnic health care disparities in the U.S., building on the 2003 Institute of Medicine consensus report, Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. The consensus study will publish its full conclusions and recommendations in summer 2024.The science of stakeholder engagement in research : classification, implementation, and evaluation
AbstractGoodman, M., & Sanders Thompson, V. L. (n.d.).Publication year
2017Journal title
Translational Behavioral MedicineVolume
7Issue
3Page(s)
486-491AbstractIn this commentary, we discuss the science of stakeholder engagement in research. We propose a classification system with definitions to determine where projects lie on the stakeholder engagement continuum. We discuss the key elements of implementation and evaluation of stakeholder engagement in research posing key questions to consider when doing this work. We commend and critique the work of Hamilton et al. in their multilevel stakeholder engagement in a VA implementation trial of evidence-based quality improvement in women’s health primary care. We also discuss the need for more work in this area to enhance the science of stakeholder engagement in research.Training Community Members in Public Health Research : Development and Implementation of a Community Participatory Research Pilot Project
AbstractKomaie, G., Goodman, M., McCall, A., McGill, G., Patterson, C., Hayes, C., & Sanders Thompson, V. (n.d.).Publication year
2018Journal title
Health EquityVolume
2Issue
1Page(s)
282-287AbstractPurpose: Community-based training in public health research can build capacity for community-based participatory research (CBPR) and foster health partnerships between academics and stakeholders. We describe a community-academic partnership developed from a 15-week program, the Community Research Fellows Training (CRFT), designed to increase research literacy and facilitate equitable relationships in community/researcher collaborations and partnerships. The article provides a description of a community and faculty collaboration to conduct a participatory pilot research project that followed program completion. Methods: Four CRFT program alumni formed a community research team and selected a faculty mentor. After a request for proposal release, the team developed a pilot research proposal that addressed a concern for mental health among women experiencing economic stress. After completion of the pilot research, the community researchers elected to participate in two dissemination efforts, including a manuscript reflecting on their research experience. Team successes, challenges, and recommendations for future training are discussed. Results: Each member of the CRFT pilot research team reflects on how training prepared community members to conduct CBPR research through development and implementation of a pilot research project. Community researchers gained experience in grant proposal development, choosing appropriate health interventions, conducting in-person surveys and telephone interviews, and disseminating study findings. Conclusions: Providing training in public health research before community/researcher collaboration can increase community capacity to engage in research as equitable partners in research question development, study design, and data interpretation and dissemination. The project success suggests that this and similar programs maximize the potential of community-academic health partnerships to address health disparities.Transformative Education in Practice
AbstractGoodman, M. (n.d.).Publication year
2023AbstractThis panel will briefly detail core components of transformative education. It features examples from programs and schools engaged in the practice of transformative education. Examples from curriculum planning/assessment, community engagement and training, and faculty development will be discussedUnderstanding the Use of Optimal Formatting and Plain Language When Presenting Key Information in Clinical Trials
AbstractSolomon, E. D., Mozersky, J., Wroblewski, M. P., Baldwin, K., Parsons, M. V., Goodman, M., & DuBois, J. M. (n.d.).Publication year
2022Journal title
Journal of Empirical Research on Human Research EthicsVolume
17Issue
1-2Page(s)
177-192AbstractRecent revisions to the Common Rule require that consent documents begin with a focused presentation of the study's key information that is organized to facilitate understanding. We surveyed 1,284 researchers working with older adults or individuals with Alzheimer's disease, supplemented with 60 qualitative interviews, to understand current use and barriers to using evidence-based formatting and plain language in key information. Researchers reported using formatting in 42% of their key information sections, and plain language in 63% of their key information sections. Perceived barriers included lack of knowledge, Institutional Review Board, other members of their team, and the burden associated with implementation. Education and training are required to increase adoption of the practices.Unpacking Public Health Implications of the 2023 Supreme Court Ruling on Race-Conscious Admissions
AbstractBather, J. R., Furr-Holden, D., Ramirez-Valles, J., & Goodman, M. (n.d.).Publication year
2023Journal title
Health Education and BehaviorAbstract~Uptake of Cancer Genetic Services for Chatbot vs Standard-of-Care Delivery Models : The BRIDGE Randomized Clinical Trial
AbstractKaphingst, K. A., Kohlmann, W. K., Lorenz Chambers, R., Bather, J. R., Goodman, M., Bradshaw, R. L., Chavez-Yenter, D., Colonna, S. V., Espinel, W. F., Everett, J. N., Flynn, M., Gammon, A., Harris, A., Hess, R., Kaiser-Jackson, L., Lee, S., Monahan, R., Schiffman, J. D., Volkmar, M., … Buys, S. S. (n.d.).Publication year
2024Journal title
JAMA network openVolume
7Issue
9Page(s)
e2432143AbstractImportance: Increasing numbers of unaffected individuals could benefit from genetic evaluation for inherited cancer susceptibility. Automated conversational agents (ie, chatbots) are being developed for cancer genetics contexts; however, randomized comparisons with standard of care (SOC) are needed. Objective: To examine whether chatbot and SOC approaches are equivalent in completion of pretest cancer genetic services and genetic testing. Design, Setting, and Participants: This equivalence trial (Broadening the Reach, Impact, and Delivery of Genetic Services [BRIDGE] randomized clinical trial) was conducted between August 15, 2020, and August 31, 2023, at 2 US health care systems (University of Utah Health and NYU Langone Health). Participants were aged 25 to 60 years, had had a primary care visit in the previous 3 years, were eligible for cancer genetic evaluation, were English or Spanish speaking, had no prior cancer diagnosis other than nonmelanoma skin cancer, had no prior cancer genetic counseling or testing, and had an electronic patient portal account. Intervention: Participants were randomized 1:1 at the patient level to the study groups at each site. In the chatbot intervention group, patients were invited in a patient portal outreach message to complete a pretest genetics education chat. In the enhanced SOC control group, patients were invited to complete an SOC pretest appointment with a certified genetic counselor. Main Outcomes and Measures: Primary outcomes were completion of pretest cancer genetic services (ie, pretest genetics education chat or pretest genetic counseling appointment) and completion of genetic testing. Equivalence hypothesis testing was used to compare the study groups. Results: This study included 3073 patients (1554 in the chatbot group and 1519 in the enhanced SOC control group). Their mean (SD) age at outreach was 43.8 (9.9) years, and most (2233 of 3063 [72.9%]) were women. A total of 204 patients (7.3%) were Black, 317 (11.4%) were Latinx, and 2094 (75.0%) were White. The estimated percentage point difference for completion of pretest cancer genetic services between groups was 2.0 (95% CI, -1.1 to 5.0). The estimated percentage point difference for completion of genetic testing was -1.3 (95% CI, -3.7 to 1.1). Analyses suggested equivalence in the primary outcomes. Conclusions and Relevance: The findings of the BRIDGE equivalence trial support the use of chatbot approaches to offer cancer genetic services. Chatbot tools can be a key component of sustainable and scalable population health management strategies to enhance access to cancer genetic services.Urological chronic pelvic pain syndrome symptom flares : Characterisation of the full range of flares at two sites in the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network
AbstractSutcliffe, S., Colditz, G. A., Goodman, M., Pakpahan, R., Vetter, J., Ness, T. J., Andriole, G. L., & Lai, H. H. (n.d.).Publication year
2014Journal title
BJU InternationalVolume
114Issue
6Page(s)
916-925AbstractObjectives To describe the full range of symptom exacerbations defined by people with interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome as 'flares', and to investigate their associated healthcare utilization and bother at two sites of the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Epidemiology and Phenotyping study. Subjects and Methods Participants completed a flare survey that asked them: 1) whether they had ever had flares ('symptoms that are much worse than usual') that lasted 1 h and 1 day; and 2) for each duration of flare, to report: their average length and frequency; their typical levels of urological and pelvic pain symptoms; and their levels of healthcare utilization and bother. We compared participants' responses to their non-flare MAPP values and by duration of flare using generalized linear mixed models. Results Of 85 participants, 76 (89.4%) completed the flare survey, 72 (94.7%) of whom reported experiencing flares. Flares varied widely in terms of their duration (seconds to months), frequency (several times per day to once per year or less), and intensity and type of symptoms (e.g. pelvic pain vs urological symptoms). Flares of all durations were associated with greater pelvic pain, urological symptoms, disruption to participants' activities and bother, with increasing severity of each of these factors as the duration of flares increased. Days-long flares were also associated with greater healthcare utilization. In addition to duration, symptoms (pelvic pain, in particular) were also significant determinants of flare-related bother. Conclusions Our findings suggest that flares are common and associated with greater symptoms, healthcare utilization, disruption and bother. Our findings also show the characteristics of flares most bothersome to patients (i.e. increased pelvic pain and duration), and thus of greatest importance to consider in future research on flare prevention and treatment.Using small-area analysis to estimate county-level racial disparities in obesity demonstrating the necessity of targeted interventions
AbstractD'Agostino-McGowan, L., Gennarelli, R. L., Lyons, S. A., & Goodman, M. (n.d.).Publication year
2013Journal title
International journal of environmental research and public healthVolume
11Issue
1Page(s)
418-428AbstractData on the national and state levels is often used to inform policy decisions and strategies designed to reduce racial disparities in obesity. Obesity-related health outcomes are realized on the individual level, and policies based on state and national-level data may be inappropriate due to the variations in health outcomes within and between states. To examine county-level variation of obesity within states, we use a small-area analysis technique to fill the void for county-level obesity data by race. Five years of Behavioral Risk Factor Surveillance System data are used to estimate the prevalence of obesity by county, both overall and race-stratified. A modified weighting system is used based on demographics at the county level using 2010 census data. We fit a multilevel reweighted regression model to obtain county-level prevalence estimates by race. We compare the distribution of prevalence estimates of non-Hispanic Blacks to non-Hispanic Whites. For 25 of the 26 states included in our analysis there is a statistically significant difference between within-state county-level average obesity prevalence rates for non-Hispanic Whites and non-Hispanic Blacks. This study provides information needed to target disparities interventions and resources to the local areas with greatest need; it also identifies the necessity of doing so.Validation of self-reported measures in health disparities research
AbstractHidalgo, B., & Goodman, M. (n.d.).Publication year
2012Journal title
Journal of Biometrics and BiostatisticsAbstract~Weight perceptions and perceived risk for diabetes and heart disease among overweight and obese women, Suffolk County, New York, 2008
AbstractDarlow, S., Goodman, M., Stafford, J. D., Lachance, C. R., & Kaphingst, K. A. (n.d.).Publication year
2012Journal title
Preventing Chronic DiseaseVolume
9Issue
4AbstractIntroduction: Many Americans fail to accurately identify themselves as overweight and underestimate their risk for obesity-related diseases. The purpose of this study was to investigate associations between weight perceptions and perceived risk for diabetes and heart disease among overweight or obese women. Methods: We examined survey responses from 397 overweight or obese female health center patients on disease risk perceptions and weight perceptions. We derived odds ratios (ORs) and 95% confidence intervals (CIs) from multivariable logistic regression analyses to examine predictors of perceived risk for diabetes and heart disease. We further stratified results by health literacy. Results: Perceiving oneself as overweight (OR, 2.78; 95% CI, 1.16-6.66), believing that being overweight is a personal health problem (OR, 2.46; 95% CI, 1.26-4.80), and family history of diabetes (OR, 3.22; 95% CI, 1.53-6.78) were associated with greater perceived risk for diabetes. Perceiving oneself as overweight (OR, 4.33; 95% CI, 1.26-14.86) and family history of heart disease (OR, 2.25; 95% CI, 1.08-4.69) were associated with greater perceived risk for heart disease. Among respondents with higher health literacy, believing that being overweight was a personal health problem was associated with greater perceived risk for diabetes (OR, 4.91; 95% CI, 1.68-14.35). Among respondents with lower health literacy, perceiving oneself as overweight was associated with greater perceived risk for heart disease (OR, 4.69; 95% CI, 1.02-21.62). Conclusion: Our findings indicate an association between accurate weight perceptions and perceived risk for diabetes and heart disease in overweight or obese women. This study adds to research on disease risk perceptions in at-risk populations.Working from home is associated with lower odds of inflation stress Among employed US adults in the Household Pulse Survey
AbstractBather, J. R., Pagan, J., Furr-Holden, D., & Goodman, M. (n.d.).Publication year
2025Journal title
WorkVolume
81Issue
2Page(s)
2563-2573AbstractBackground: Recent shifts in hybrid working practices have coincided with rising prices, potentially inducing inflation-related stress among employees. Objective: To investigate associations between remote work status and self-reported inflation-related stress among employed US adults in an overall sample and stratified by gender identity and race/ethnicity. Methods: We pooled data across 15 survey cycles (September 2022-October 2023) from the US Census Bureau Household Pulse Survey. Remote work status was measured as 0, 1–2, 3–4, and 5 + days. Covariates included age, marital status, education, income, number of children, employment sector, region, and survey cycle. Results: The weighted sample comprised 48,686,575 individuals (0 days = 24%, 1–2 days = 23%, 3–4 days = 15%, and 5 + days = 38%), with 93% who self-reported stress related to inflation. Among the overall sample, employed individuals working remotely for 5 + days (adjusted OR [aOR] 0.87, 95% CI 0.80, 0.95) had lower odds of self-reported inflation stress than workers with zero remote workdays. Similar associations were found among males (aOR 0.87, 95% CI 0.78, 0.98), females (aOR 0.87, 95% CI 0.76, 0.99), White individuals (aOR 0.84, 95% CI 0.77, 0.93), and individuals of other race/ethnicity (aOR 0.58, 95% CI 0.37, 0.90). We did not find any statistically significant remote work associations with self-reported inflation stress among Black, Hispanic, and Asian individuals. Conclusions: Our findings have important implications for occupational health, elucidating a potential positive relationship between remote work and inflation stress. These findings can inform how organizations shape their hybrid-working policies to minimize financial stress on employees.Working from Home is Associated with Lower Odds of Inflation Stress Among Employed US Adults in the Household Pulse Survey
AbstractGoodman, M. (n.d.).Publication year
2025Journal title
WORKAbstract~“Together We Can Move Mountains” - A Panel Discussion to Profile Emerging Centers Targeting the Health Implications of Racism
AbstractGoodman, M. (n.d.).Publication year
2023AbstractThe Center for the Study of Racism, Social Justice & Health at UCLA hosts a Distinguished Quarterly Speaker Series during each quarter of the academic year. For Winter 2023, we will host a dynamic panel discussion featuring several founding directors of Anti-Racism Centers across the country“together we can move mountains”: Center for anti-racism, social justice, & public health at NYU school of global public health
AbstractGoodman, M. (n.d.).Publication year
2023AbstractThe existence of racism in the United States results in unequal access to health promoting resources and healthcare. We utilize a theoretical framework developed by Dr. Camara Jones to understand racism on three levels: institutionalized, personally mediated, and internalized. We adapted the Kilbourne et al classification scheme for health disparities research to categorize anti-racism research. Phase 1 detects where racism is operating (detect); Phase 2 examines how racism is operating (understand); Phase 3 develops and evaluates anti-racism interventions (solutions). As the literature on racial and health inequities has grown, the research has shifted from using race as a proxy to detect racism (phase 1) to understanding how racism impacts health (phase 2). However, there is a need to move the field toward the development and testing of anti-racism solutions (phase 3). The Center for Anti-racism, Social Justice, & Public Health (CASJPH) at New York University School of Global Public Health was established to expand public awareness of racial inequities in health. CASJPH aims to increase the political will to address racial inequities in health, while developing practical policies and strategies that can lead to substantial and lasting change. The CASJPH will establish this through advancing innovative methods and statistical techniques to leverage the power of data. In the spirit of collective action, we use community engaged research approaches and work in collaboration with non-academic partners. We enhance the infrastructure for community-academic partnerships through the Community Research Fellows Training program which is designed to increase research literacy among community partners and foster equitable research partnerships. Transdisciplinary research collaborations can lead to significant advancements towards achieving health equity. The Center for Anti- racism, Social Justice, & Public Health is committed to a three-pronged mission: 1) scholarship in the service of impactful change; 2) forge transdisciplinary research collaborations; and 3) stakeholder engagement and partnership development for a community-driven translational research agenda. We are focused on increasing the diversity of the public health workforce through the development, implementation, and evaluation of pathway programs for high school, undergraduate and graduate students (e.g., Research and Racial Equity Summer Internship Program, Quantitative Public Health Data Literacy Training program, Emerging Leaders in Quantitative Reasoning program in collaboration with John Jay College of Criminal Justice). As a young center (