In order to teach Open and Reproducible Science effectively, educators need to make sense of almost a decade of literature, across several fields, and be informed about ongoing (and often dynamic) debates. This is a tall ask for most educators. So …
Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows …
The number of papers presenting machine learning (ML) models that are being submitted to and published in the Journal of Medical Internet Research and other JMIR Publications journals has steadily increased. Editors and peer reviewers involved in the …
Methods for efficient, reliable, and reproducible science
This course is designed to bolster the work of early-career scientists, including first year graduate students, by providing them with guidance to create a precise and personalized pipeline …
Data management - including data preparation, cleaning, storage, and sharing - is critical to psychological research. Despite its importance, data management is rarely formally taught to students. This syllabus provides detailed descriptions of data …
Since its beginnings in the 1940s, automated reasoning by computers has become a tool of ever growing importance in scientific research.So far, the rules underlying automated reasoning have mainly beenformulated by humans, in the form of program …
Meta-analysis synthesizes a body of research investigating a common research question. Outcomes from meta-analyses provide a more objective and transparent summary of a research area than traditional narrative reviews. Moreover, they are often used …
This mini course was designed to introduce Psychology undergraduate students at the University of Edinburgh (who are working on their dissertation in the academic year 2021-2022) to open research principles and practices.
The course contains 5 …
The COVID-19 pandemic generated tremendous interest in using real world data (RWD). Many consortia across the public and private sectors formed in 2020 with the goal of rapidly producing high-quality evidence from RWD to guide medical …