The University Journals offers an alternative to the current journal ecosystem, Linked to university repositories, University Journals publish reviewed articles, data and other academic works on an accredited open access platform.
The University Journals platform is owned by the university community and offers Open Access journal publications to researchers affiliated to its university partners.
University Journals is a joint initiative from 14 international European universities. Initial development is funded by the PICA foundation and the University of Amsterdam.
“This post is co-authored by Fernando Hoces de la Guardia, BITSS postdoctoral scholar, along with Sean Grant (Associate Behavioral and Social Scientist at RAND) and CEGA Faculty Director Ted Miguel. It is cross-posted with the BITSS Blog.
The Royal Society’s motto, “Take nobody’s word for it,” reflects a key principle of scientific inquiry: as researchers, we aspire to discuss ideas in the open, to examine our analyses critically, to learn from our mistakes, and to constantly improve. This type of thinking shouldn’t guide only the creation of rigorous evidence?—?rather, it should extend to the work of policy analysts whose findings may affect very large numbers of people. At the end of the day, a commitment to scientific rigor in public policy analysis is the only durable response to potential attacks on credibility. We, the three authors of this blog?—?Fernando Hoces de la Guardia, Sean Grant, and Ted Miguel?—?recently published a working paper suggesting a parallel between the reproducibility crisis in social science and observed threats to the credibility of public policy analysis. Researchers and policy analysts both perform empirical analyses; have a large amount of undisclosed flexibility when collecting, analyzing, and reporting data; and may face strong incentives to obtaining “desired” results (for example, p-values of <0.05 in research, or large negative/positive effects in policy analysis)….”
“Our mission is to make the world’s scientific code more reusable, executable and reproducible
Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences.
More and more of today’s research includes software code, statistical analysis and algorithms that are not included in traditional publishing. But they are often essential to reproducing the research results and reusing them in a new product or research. This creates a major roadblock for researchers, one that inspired the first steps of Code Ocean as part of the 2014 Runway Startup Postdoc Program at the Jacobs Technion Cornell Institute. Today, the company employs more than 10 people and officially launched the product in February 2017.
For the first time, researchers, engineers, developers and scientists can upload code and data in 10 programming languages and link working code in a computational environment with the associated article for free. We assign a Digital Object Identifier (DOI) to the algorithm, providing correct attribution and a connection to the published research.
The platform provides open access to the published software code and data to view and download for everyone for free. But the real treat is that users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs. We make it easy to change parameters, modify the code, upload data, run it again, and see how the results change….”