We've launched a new website! Check it out and see our first unit, confirmation bias.

The Rigorous Raven is an important part of the Community for Rigor. They’re an avatar that represents some of scientists’ best features, like intelligence and curiosity, and they’re also a mood.

Hear from Drs. Rick Born (Harvard Medical School) and Ani Govjian (University of Pennsylvania) on the thought, hard work, and care that went into our first unit, Confirmation Bias: The Original Error.

Hear a progress report from our CoLAB at The Ohio State University on the unit Effective Data Visualization for Research Communication.

The Community for Rigor has spent the past two years hard at work developing educational materials to teach core concepts in scientific rigor, and we’re trying hard to get it right.

Each year of our project, our friends at the NINDS add a new cohort of coLABs to help us make even more units to teach the principles of scientific rigor.

This November, the Community for Rigor flocked to the 2023 annual meeting of the Society of Neuroscience (SfN) for a week of tabling, conversation, and so, so, so many socks.

Join us April 2025 for focus groups on our upcoming unit on rigorous approaches to randomization.

Learn what confirmation bias is, how to identify it in your own research, and acquire the skills to mitigate it. Monday, April 21, 2025 12:00 - 1:00pm (ET)

A global community working together to do better science. 

This week, the Community for Rigor hosted Rigorous and Glamorous in 100 Words or Less, an abstract workshop for our friends across the world!

This February, the Community for Rigor made the long trek across Philadelphia to attend the 2024 annual meeting of the Biophysical Society (BPS) for a weekend of tabling, conversation, and learning that crystallography does not, in fact, involve all that many precious gems.

It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results. Community for Rigor is here to help!

Every year, neuroscientists from all over the world congregate on a major US city to learn from one another.

Learn about reproducibility from C4R Curriculum Developer April Clyburne-Sherin.

Methods is where we spend the most of our experimental time, but the least of our writing time. Well-written methods are necessary to replicate findings, assess the rigor of an experimental design, and determine the breadth of data interpretation.