Events
Share
Facebook
Twitter
LinkedIn
Flipboard
Print
Email
mount-rushmore-stockpack-adobe-stock
Mount Rushmore
Mount Rushmore
Date
Jan252024
January
01
Jan
25
25
2024
Time
17:00:00
Locale
Online Event

The Design Inference 2.0: William Dembski and Winston Ewert Discuss Their New Book

On Thursday, January 25, join mathematician William Dembski and computer scientist Winston Ewert as they discuss the significance of their new book and answer your questions.

Twenty-five years ago, Dembski unveiled a rigorous scientific method for detecting intelligent design in The Design Inference. Originally published by Cambridge University Press, Dembski’s landmark monograph sparked vigorous debate among scientists, scholars, and the public. In a dramatically expanded new edition, Dembski and co-author Winston Ewert now show how Dembski’s method of design detection has stood the test of time, and they demonstrate its applicability to biology, cosmology, and daily life.

This webinar will take place on Zoom and does require registration. If interested, please make sure to register using the button to the right, and don’t forget to mark your calendars!

When

Thursday, January 25, 2024
5:00 PM Pacific

Contact

John Felts
jfelts@discovery.org
(206) 826-5532

Register

Speakers

William A. Dembski

Senior Fellow, Center for Science and Culture
A mathematician and philosopher, Bill Dembski is the author/editor of more than 25 books as well as the writer of peer-reviewed articles spanning mathematics, engineering, biology, philosophy, and theology. With doctorates in mathematics (University of Chicago) and philosophy (University of Illinois at Chicago), Bill is an active researcher in the field of intelligent design. But he is also a tech entrepreneur who builds educational software and websites, exploring how education can help to advance human freedom with the aid of technology.

Winston Ewert

Senior Fellow, Senior Research Scientist, Software Engineer
Winston Ewert is a software engineer and intelligent design researcher. He received his PhD from Baylor University in electrical and computer engineering. He specializes in computer simulations of evolution, genomic design patterns, and information theory. A Google alum, he is a Senior Research Scientist at Biologic Institute and a Senior Fellow of the Bradley Center for Natural and Artificial Intelligence.