Piperic
similar sites
‹ ProfileAI Report

Sites similar to caseydawkins.com

Caseydawkins alternatives & similar sites

Casey J. Dawkins – Professor | Urban Studies and Planning | National Center for Smart Growth | School of Architecture, Planning & Preservation | University of Maryland — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Education →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
melissatully.net 68 match
1 shared topics
Melissa Tully – Associate Professor, Journalism and Mass Communication, University of Iowa en educationWordPress robotsllmsaihumans emailphone none
katherinecjensen.com 68 match
1 shared topics
KATHERINE JENSEN – Assistant Professor of Sociology and International Studies en educationWordPress robotsllmsaihumans emailphone none
carteeh.org 68 match
1 shared topics
Center for Efficient Mobility – A USDOT University Transportation Center en educationWordPress robotsllmsaihumans emailphone none
nursingwriting.com 68 match
1 shared topics
NursingWriting.com – A writing & publishing resource for the School of Nursing, University of Connecticut en educationWordPress robotsllmsaihumans emailphone none
chadgaffield.com 68 match
1 shared topics
Chad Gaffield | Distinguished University Professor, Professor of History Emeritus and University Research Chair in Digital Scholarship (2019-2024) at the University of Ottawa, Canada; CEO of U15 Canada en educationWordPress robotsllmsaihumans emailphone none
mikehabegger.com 68 match
1 shared topics
Mike Habegger, Ph.D. – Ph.D., Student Success Center, University of Delaware en educationWordPress robotsllmsaihumans emailphone none
cedpcenter.org 68 match
1 shared topics
CED&P | Center for Career Education, Development, and Planning Inc. en educationWix robotsllmsaihumans emailphone none
kathrynlanouette.com 67 match
1 shared topics
Kathryn Lanouette – Kathryn Lanouette is an Assistant Professor of Learning Sciences and Science Education at William & Mary’s School of Education. en educationWordPress robotsllmsaihumans emailphone none
aaron-meskin.org 67 match
1 shared topics
Aaron Meskin | Professor and Head of Philosophy, University of Georgia en educationWordPress robotsllmsaihumans emailphone none
cultureanddiversitylab.com 66 match
1 shared topics
Culture, Diversity & Well-Being Lab | University of Utah en educationWordPress robotsllmsaihumans emailphone none
nugolfacademy.net 66 match
1 shared topics
National University Golf Academy | National University en educationWordPress robotsllmsaihumans emailphone none
nugolfacademy.org 66 match
1 shared topics
National University Golf Academy | National University en educationWordPress robotsllmsaihumans emailphone none
curationlab.org 66 match
1 shared topics
The Digital Archival Curation Center en educationWordPress robotsllmsaihumans emailphone none
michelledlazarus.com 66 match
1 shared topics
Dr Michelle D. Lazarus – Professor of Curiosity en educationWordPressWooCommerce robotsllmsaihumans emailphone none
cesosc.org 66 match
1 shared topics
Center Of Educational Support For Out-Of-School Children en education robotsllmsaihumans emailphone none
michellefweinberger.com 66 match
1 shared topics
Michelle F. Weinberger | Professor, Northwestern University en educationWordPress robotsllmsaihumans emailphone full · 12
ocaaup.org 66 match
1 shared topics
AAUP Ohio Conference – American Association of University Professors United States~ en educationWordPress robotsllmsaihumans emailphone none
guardianshipuk.com 66 match
1 shared topics
UK Guardianship for UK Boarding Schools and UK University | British Guardianship & Boarding School Expert en education robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.