Chalk Talks

The Duke CFAR Chalk Talks are informal discussions led by one of the CFAR Cores. There are no slides permitted, to allow for more engagement and interaction between the speakers and audience. The talks will cover a wide range of topics related to HIV and are scheduled every few months. Usually scheduled at noon, pizza and drinks are provided. For more information please contact Kelly Suñé (

November 11, 2019 - NIH Research Supplements to Promote Diversity in Health-Related Research (DS)

April 2, 2019 - Respondent driven sampling to recruit hard-to-reach populations into HIV research

November 29, 2018 - Duke CFAR Immunology Core Updates

April 20, 2018 - Duke HIV Research Database and Repository

March 2, 2018 - Chalk Talk and Networking Opportunity: Biomarkers for Behavioral and Clinical Outcomes

June 29, 2017 - Big Data Analytics in HIV/AIDS Clinical Research

March 29, 2017 - HIV and Tobacco Use: New Findings, Existing Challenges and Emerging Opportunities

November 7, 2016 - PrEParing For Pleasure: Understanding How To Implement Pre-Exposure Prophylaxis And Increase Adherence

August 22, 2016 - Syringe Programs in North Carolina

June 14, 2016 - Understanding and Addressing New NIH Expectations Regarding Rigor, Reproducibility, and Transparency

April 19, 2016 - Adherence in Clinical Trials: Lessons from FEM-Prep

March 7, 2016 - HIV Advocacy in the Deep South:  Epidemiology and Funding Inequities

January 19, 2016 - Pre-Exposure Prophylaxis for the Prevention of HIV Infection

October 5, 2015 - Metabolic alterations and physical function in older HIV-infected adults

August 12, 2015 - How to prepare a 2 minute “elevator speech” about your research

June 10, 2015 - Core Connections - How to augment your research opportunities by collaborating with other CFAR Cores

April 14, 2015 - Developing Strategies for Cervical Cancer Prevention in Low Resource Communities

February 20, 2015 - Strategies to Increase Opportunities for SBS Research in the Duke HIV Clinic

November 25, 2014 - Management and Analysis of Data from Bench to Bedside