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Category: Modeling Religious Change

Evolving computer simulations of religion

August 9, 2022 Jessie Saeli Modeling Religion, Modeling Religion in Norway, Modeling Religious Change, Research Summaries

Modeling Religious Change (MRC) is a multi-million-dollar project dedicated to advancing our understanding of religious and nonreligious identity and change by developing a tool for scholars and policy makers to explore demographic[…]

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Adapting Cohort-Component Methods to a Microsimulation: A case study

May 17, 2022 Administrator Modeling Religious Change, Publications

Ivan Puga-Gonzalez, Rachel J. Bacon, David Voas, F. LeRon Shults, George Hodulik, Wesley J. Wildman Abstract: Social scientists generally take United Nations (UN) population projections as the baseline when considering the potential impact of any[…]

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Q&A with Rachel Bacon

May 14, 2021 Nicole Smith CMAC Network, Latest Updates, Modeling Religious Change

In the summer of 2020, CMAC brought on our first full-time demographer, Rachel Bacon. Rachel is working on the Modeling Religious Change project, adapting traditional demography methods to cooperate with[…]

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

March 16, 2021 Administrator 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 who will disaffiliate from religions have typically accounted for less[…]

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Religion’s possible futures

September 23, 2020 Jonathan Morgan Modeling Religious Change, Research Summaries

Across the globe and throughout history, religiosity has been the norm. But occasionally, you find times or places where supernatural worldviews fade among a large portion of the population. Right[…]

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Post-Supernatural Cultures: There and Back Again

August 24, 2020 Administrator Modeling Religious Change, Publications

Wesley J. Wildman, F. LeRon Shults, Saikou Diallo, Ross Gore, Justin E. Lane Secularism and Nonreligion August 2020 Abstract: The abandonment of supernatural religious beliefs and rituals seems to occur[…]

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What People Say

Teehan

"CMAC’s approach is innovative, it’s risky and ultimately it might not work. But this approach does promise breakthrough change, allowing us to test before we invest in new interventions. We use these techniques routinely when we design cars, bridges and factories. And speaking for myself, a change skeptic, I finally feel I’m telling myself the truth about real-world change. I’ll keep up the rhythm of small-change activities. And I’ll make a very precise, limited and deliberate move on the big-change stage through CMAC."


Wesley Wildman
Executive Director
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
Teehan

"CMAC is a great environment when you are in a transitional stage of your early career and deciding what type of career path to pursue. There is such a wide variety of projects going on at one time, and even if you are assigned to primarily work on just one, there is frequently the opportunity to contribute to multiple projects. And in doing so, you get to use your skillset in areas outside your area of expertise, and also expand your skillset within your main area with an interdisciplinary team."


Rachel Bacon
Postdoctoral Fellow
Gore

"...each member of the team was capable of synthesizing that multi-disciplinary knowledge into a single response to a complex problem statement. The realization was humbling and reshaped my view of what interdisciplinary work can be and how I pursue it."


Ross Gore, Ph.D.
Virginia Modeling, Analysis and Simulation Center
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