{"id":10504,"date":"2024-05-01T20:58:03","date_gmt":"2024-05-01T20:58:03","guid":{"rendered":"https:\/\/www.discovery.org\/id\/?page_id=10504"},"modified":"2026-06-05T22:02:07","modified_gmt":"2026-06-05T22:02:07","slug":"research","status":"publish","type":"page","link":"https:\/\/www.discovery.org\/id\/research\/","title":{"rendered":"Research Program"},"content":{"rendered":"\n
\"\"<\/span>
\n

ID 3.0 Research Program<\/h1>\n<\/div><\/div>\n\n\n\n
\n

Discovery Institute\u2019s Science Research Program entails a vibrant community of scientists and scholars who are conducting scientific research to investigate the evidence for design in nature, and also research that critically investigates the ability of material mechanisms to account for the complexity of nature. Much of this research is directly funded by Discovery Institute, while other research is conducted by a network of ID-friendly scientists that Discovery Institute actively collaborates with and sustains.<\/p>\n<\/section>\n\n\n\n

25+ Active Research Projects<\/a><\/strong><\/td>250+ Peer-Reviewed Papers<\/a><\/strong><\/td>$10+ million total budget since 2016<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\n
\"\"<\/span>
\n
\n

ID 3.0 Research<\/h2>\n<\/header>\n<\/div><\/div>\n\n\n\n
\n

Intelligent design is a potent scientific theory which makes testable predictions that are being actively investigated by researchers worldwide. The ID 3.0 research program comprises this community of scientists who have collaborated to publish peer-reviewed scientific papers related to the evidence for design in prominent journals, including Nature<\/em>, ACS Nano<\/em>, ACS Applied Materials & Interfaces<\/em>, Nature Nanotechnology<\/em>, Journal of Bacteriology<\/em>, Scientific Reports<\/em>, Frontiers in Microbiology<\/em>, Frontiers in Genetics<\/em>, Annual Review of Genomics and Human Genetics<\/em>, Biosystems<\/em>, BMC Evolutionary Biology<\/em>, BMC Genomics<\/em>, Molecular Biology and Evolution<\/em>, BIO-Complexity<\/em>, Springer Proceedings in Mathematics and Statistics<\/em>, PLOS One<\/em>, Journal of Theoretical Biology<\/em>, and a book with Cambridge University Press, among other technical outlets.<\/p>\n\n\n\n

\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n
Professors Doug Axe and Richard Gunasekera in their biochemistry lab at Biola University.<\/sup><\/figcaption><\/figure>\n\n\n\n

ID research has gone through multiple phases, roughly described below. <\/p>\n\n\n\n

ID 1.0 (1984-1999)<\/summary>
\n

This first phase of ID research developed basic theories of design detection via information, including concepts like irreducible complexity, specified complexity, and the explanatory filter.<\/p>\n\n\n\n