Explore the causes of limited transparency in social science research, and tools to make your own work more open and reproducible. Demand is growing for evidence-based policy making, but there is growing recognition in the social science community that limited transparency and openness in research have contributed to widespread problems. Explore transparency issues in social science research – and how to solve them. In this free online course, we will discuss the major transparency and reproducibility issues across the social sciences today, including the problems of fraud, publication bias and data mining. We will also discuss many of the emerging solutions to these problems, including: pre-registering studies and writing pre-analysis plans; performing replications; conducting meta-analyses; making data open and available; visualizing data in ways that are honest and effective. The course has been developed by the Berkeley Initiative for Transparency in the Social Sciences (BITSS, bitss.org). Headquartered at UC Berkeley, BITSS has been leading the social science research transparency movement since 2012.