
This site is run by Mike Caulfield. My current work focuses on how students and citizens can use AI as a tool for reasoning and critical thinking, learning to tap into the power of LLMs to discover and contextualize evidence, and to model and critique arguments. He is currently manager of Academic and Collaborative Technology at University of Washington Bothell.
I’ve spent more than a decade working on how to use search to contextualize artifacts, events, and claims. With Sam Wineburg I wrote the definitive book on using internet search for sensemaking (University of Chicago Press, endorsed by Maria Ressa, who won the Nobel Prize for her advocacy of press freedom). There are features delivered on every Google search result that are inspired by my work. My SIFT method is used in hundreds of universities, and over the past decade has become one of two primary ways that information literacy in taught in U.S. universities and around much of the world, and the Google Super Searchers curriculum I co-developed with Google has been translated into a dozen languages and is one of the most successful information literacy initiatives in history. (See an example here from India, where over 11,000 educators have taken the training, here from the ALA/PLA, here for an example from Portugal).
I am also the considered the founder of the digital gardening movement, and my work with Ward Cunningham on federated wiki (and my writing and talks about it) has been credited by the founders of Notion and Roam as inspiring their work, and was a major impetus behind the “re-wikification” of the personal knowledge management space in the mid-2010s.
You can find me on LinkedIn, Substack, and Bluesky. Inquires about keynotes and consultations can be sent to caulfield.mike@gmail.com, but for the fastest response please ping me either at LinkedIn or Bluesky.
My work has been covered by The New York Times, the Chronicle of Higher Education, NPR, The Wall Street Journal, USA Today, and the MIT Technology Review. My recent essay in The Atlantic outlines my current vision for AI.
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