Skip to content

Our ability to confront global crises, from pandemics to climate change, depends on how we interact and share information. 

Social media and other forms of communication technology restructure these interactions in ways that have consequences. Unfortunately, we have little insight into whether these changes will bring about a healthy, sustainable and equitable world. As a result, researchers now say that the study of collective behavior must rise to a “crisis discipline,” just like medicine, conservation and climate science have done, according to a new paper published June 14 in the Proceedings of the National Academy of Sciences.

When people think of misinformation, they often focus on popular and social media. But in a paper published April 12 in the Proceedings of the National Academy of Science, University of Washington faculty members Jevin West and Carl Bergstrom write that scientific communication — both scientific papers and news articles written about papers — also has the potential to spread misinformation.

The UW Information School is taking a leading role in helping people better navigate this era of increasing online fakery and falsehood. On March 19, the school will welcome 200-some Seattle-area high school students for “MisInfo Day,” a daylong workshop on how to navigate the misinformation landscape, from Jevin West and Carl Bergstrom, the faculty duo behind “Calling BS in the Age of Big Data.”

In a paper published Jan. 2 in PLOS Biology, two scientists at the University of Washington and North Carolina State University use the economic theory of contests to illustrate how the competitive grant-application system has made the pursuit of research funding inefficient and unsustainable — and that alternative methods, such as a partial lottery to award grants, could relieve pressure on professors and free up time for research.

It’s almost unheard-of for a university class to spark global press attention — and offers of book deals — before instruction even begins. But such is the case with the UW Information School’s new course, “Calling Bullshit in the Age of Big Data.”

In an article published Dec. 20 in the journal eLife, researchers present a mathematical model that explores whether “publication bias” — the tendency of journals to publish mostly positive experimental results — influences how scientists canonize facts. Their results offer a warning that sharing positive results comes with the risk that a false claim could be canonized as fact. But their findings also offer hope by suggesting that simple changes to publication practices can minimize the risk of false canonization.