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.
By the end of the three-week course, you will:
- understand the root and systemic causes of limited transparency and openness in social science research
- explore the tools that you can use to improve transparency in your own research and identify flaws in other people’s work
- apply these tools to real data presented in problem sets
- discuss the tools that publishers are beginning to use to incentivize transparency and reproducibility
- reflect on your own research experiences and assess how you might improve your methods.
Learn with research transparency experts at UC Berkeley.
The course has been developed by the Berkeley Initiative for Transparency in the Social Sciences (BITSS). Headquartered at UC Berkeley, BITSS has been leading the social science research transparency movement since 2012.
Through the course, you will learn with lead educator, Ted Miguel – a leading expert in research transparency, who is widely respected within the social science and international development communities.