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OBJECTIVES/GOALS: CTSI-RAP is a professional development program that provides undergraduate students with clinical research exposure and training. Students support UCLA research faculty by assisting with all aspects of the research process, including recruiting participants, data management, and presentations. METHODS/STUDY POPULATION: CTSI-RAP onboards a 15-20 volunteer student cohort annually in a competitive application and interview process with less than a 10% acceptance rate. Since the inaugural cohort in 2013, over 160 students have participated. The program engages hundreds of students each year through the recruitment process, campus clinical research events, and student-led conference opportunities. Evaluation surveys developed through REDCap in 2022 sought to assess the program’s impact on undergraduate experiences, professional development, and post-graduate careers. Surveys distributed to investigators and their study teams evaluated the student’s clinical research knowledge and engaged student involvement. RESULTS/ANTICIPATED RESULTS: Based on evaluation surveys, the CTSI-RAP program received excellent reviews from both students and their assigned study teams. 100% of students and faculty would recommend the program to a friend or colleague. 30% of students present or publish annually, indicating a wealth of meaningful contributions made by students. 90% of students go on to attend medical school, health-related graduate school, or other health-related employment. Several students continue working in clinical research through gap-year employment. As demonstrated by the high caliber of student and faculty experiences, CTSI-RAP has created an esteemed and valued symbiotic infrastructure to support clinical research endeavors at UCLA. DISCUSSION/SIGNIFICANCE: Through clinical research career exploration and professional skill-building in undergraduate careers, the CTSI-RAP program produces highly-trained future leaders in the field and benefits the capacity of UCLA research. CTSI-RAP provides a model for similar programs to be funded and implemented in other institutions.

[This corrects the article DOI: 10.1017/cts.2024.117.].

[This corrects the article DOI: 10.1017/cts.2024.117.].

Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changing during a disease outbreak, are particularly challenging. Data management is further complicated by data being imprecisely identified when used. Public trust in policy decisions resulting from such analyses is easily damaged and is often low, with cynicism arising where claims of \"following the science\" are made without accompanying evidence. Tracing the provenance of such decisions back through open software to primary data would clarify this evidence, enhancing the transparency of the decision-making process. Here, we demonstrate a Findable, Accessible, Interoperable and Reusable (FAIR) data pipeline developed during the COVID-19 pandemic that allows easy annotation of data as they are consumed by analyses, while tracing the provenance of scientific outputs back through the analytical source code to data sources. Such a tool provides a mechanism for the public, and fellow scientists, to better assess the trust that should be placed in scientific evidence, while allowing scientists to support policy-makers in openly justifying their decisions. We believe that tools such as this should be promoted for use across all areas of policy-facing research.

THE PITCH: I've never been much of a fan of the driving sim game. They've been the car equivalent of those online world games, with pale-faced obsessives playing for hours until they can finally afford to buy the manifold upgrade for their S2000 type-r extra special tune. This game has had rave reviews in America for being accessible to less avid fans, while still having the depth that fans of the genre can enjoy. And after playing it, and winning money, and painting and adoring my Porsche #43 Red Bull cup racer, I have to say I strongly agree.

Underwear model gets naked for good cause; Underwear model gets naked for good cause