TRASE Module 3: Data Analysis Skills for Reproducible Social and Behavioral Research on Aging
The UCSF Department of Epidemiology and Biostatistics is launching a series of short-course modules, as part of a program titled “Training in Reproducible Research on Aging for Social Science and Epidemiology (TRASE)." TRASE aims to improve the reproducibility of research on health disparities and aging. The program will offer four short courses (each can be taken independently) that cover different aspects of reproducible research, from conceptual to technical. The modules are designed for researchers and consumers of scientific research who want to learn how to evaluate, implement, collect, and integrate evidence in a transparent and rigorous way.
- Instructor: Fei Jiang
- Instructor: Aaron Scheffler
- Instructor: Jingxuan Wang
TRASE Module 1: Introduction to Reproducibility – Core Concepts
This short course module is intended to have broad reach to introduce the reproducibility crisis, define key terms, and provide tangible solutions to help address the reproducibility crisis. The key ideas relate to the impact of lack of reproducibility on scientific progress; major sources of lack of reproducibility; and types of solutions. The curriculum will draw on examples and challenges in social and behavioral research. We will read published papers and try to complete an Open Science Framework (OSF) analysis plan from the published work to help demonstrate the level of detail that is needed for reproducibility and to gain familiarity with the OSF template to facilitate more regular future use.
Winter - February 25-27, 2026
- Instructor: Jilly Hebert
- Instructor: Amanda Irish
- Instructor: Lucia Pacca
TRASE Module 4: Reproducible Research Skills for Evidence Synthesis
UCSF Department of Epidemiology and Biostatistics is launching a series of short-course modules, as part of a program titled “Training in Reproducible Research on Aging for Social Science and Epidemiology (TRASE)." TRASE aims to improve the reproducibility of research on health disparities and aging. The program will offer four short courses (each can be taken independently) that cover different aspects of reproducible research, from conceptual to technical. The modules are designed for researchers and consumers of scientific research who want to learn how to evaluate, implement, collect, and integrate evidence in a transparent and rigorous way.
- Instructor: Dave Glidden
- Instructor: Cozie Gwaikolo
TRASE Module 2: Data Collection for Reproducible Social and Behavioral Research
The University of California, San Francisco Training in Reproducible Research on Aging for Social Science and Epidemiology (UCSF-TRASE) includes four modules, which can be taken alone or completed in combination and in any order. In this module, we will focus on data collection, where choices regarding recruitment, measurement, consent, retention, data quality control, and the data pipeline are essential components for reproducible research. We'll explore the significance of this phase and its direct impact on the quality and interpretability of research findings.
- Instructor: Lucia Abascal Miguel
- Instructor: Nadia Diamond-Smith
- Instructor: Jacqueline Torres
TRASE Module 3: Data Analysis Skills for Reproducible Social and Behavioral Research on Aging
The UCSF Department of Epidemiology and Biostatistics is launching a series of short-course modules, as part of a program titled “Training in Reproducible Research on Aging for Social Science and Epidemiology (TRASE)." TRASE aims to improve the reproducibility of research on health disparities and aging. The program will offer four short courses (each can be taken independently) that cover different aspects of reproducible research, from conceptual to technical. The modules are designed for researchers and consumers of scientific research who want to learn how to evaluate, implement, collect, and integrate evidence in a transparent and rigorous way.
- Instructor: Stathis Gennatas
- Instructor: Fei Jiang
- Instructor: Aaron Scheffler