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Culturally competent communication is a valuable tool against vaccine hesitancy

June 24, 2021 Administrator Research Bulletins, The Artificial Organization

There are many connections to be uncovered at the intersection of academia, scientific data, and 21st century communications. When communicating[…]

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Conversations at the intersection of the humanities and technology

June 8, 2021 Nicole Smith Announcements, DigEthix, Projects

CMAC is excited to introduce DIGETHIX – a public education and communication project that provides publicly available discussions on issues involving[…]

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Q&A with Rachel Bacon

May 14, 2021 Nicole Smith Announcements, Modeling Religious Change

In the summer of 2020, CMAC brought on our first full-time demographer, Rachel Bacon. Rachel is working on the Modeling[…]

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New Publication: Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism

March 16, 2021 Nicole Smith Modeling Religious Change, Publications

Ryan Cragun, Kevin McCaffree, Ivan Puga-Gonzalez, Wesley Wildman, F. LeRon Shults Secularism and Nonreligion Abstract: Statistical models attempting to predict[…]

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Rachel Bacon

Meet Rachel Bacon, Postdoctoral Fellow

March 1, 2021 Nicole Smith Meet CMAC

Last year, Rachel Bacon started at CMAC as a Postdoctoral Fellow working full-time on the Modeling Religious Change project. She[…]

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Evaluating the authenticity of technology-assisted spirituality

February 25, 2021 Jonathan Morgan Projects, Research Bulletins, Spirit Tech

One of the first questions that comes up when talking about new spiritual services like deep brain stimulation or hallucinogenic[…]

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Spirit Tech: from techniques to technology

February 18, 2021 Jonathan Morgan Projects, Research Bulletins, Spirit Tech

From hallucinogenic drugs to deep brain stimulation, we are constantly finding new ways to foster or deepen spiritual experiences. The[…]

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Teehan

“…after two (intense) days with the people at CMAC, going through the process of translating my hypothesis about religion and empathy into the language of computer modeling, it all began to make sense … Because of this method, we will actually be able to bring some data into a debate that would otherwise remain largely in speculation … It forced me to formulate my ideas in such precise and concrete terms (so they could be coded for) that I came away with a better understanding of my own theory.”


John Teehan, Ph.D.
Hofstra University
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Virginia Modeling, Analysis and Simulation Center
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