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Stephanie Tara Schwartz, PhD – Content Developer | Curator | Educator | Interactive Designer — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
khyatijoshi.com ↗	67 match 1 shared topics	Khyati Y. Joshi - Scholar \| Educator \| Public Speaker	en	education	robotsllmsaihumans	email phone	none
natachamonestel.com ↗	66 match 1 shared topics	Natacha Monestel Mora \| PhD • Lecturer • Educator • Researcher \| UBC	en	education	robotsllmsaihumans	emailphone	none
dscearcemiles.org ↗	66 match 1 shared topics	D. Scearce-Miles – Researcher * Author * Educator	en	education WordPress	robotsllmsaihumans	emailphone	full · 12
akomawt.org ↗	65 match 1 shared topics	AKOMAWT EDUCATIONAL INITIATIVE - Akomawt Educational Intiative-Home	en	education Weebly	robotsllmsaihumans	emailphone	none
ginadominick.com ↗	65 match 1 shared topics	Gina A. Dominick, PhD – Teacher, Scholar, Writer	en	education WordPress	robotsllmsaihumans	emailphone	none
globalnewsupdatenow.com ↗	65 match 1 shared topics	หน้าหลัก - News about development Update environmental news News about educational innovation	en	education WordPress	robotsllmsaihumans	emailphone	none
debbieyeboah.com ↗	65 match 1 shared topics	Debbie Yeboah – PhD Researcher-Educator-Artist	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nadiajessop.com ↗	65 match 1 shared topics	UNLEaRN Lab – Social Developmental Psychology Research in Education	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	full · 12
theknak.com ↗	65 match 1 shared topics	Knak - Curriculum Development	en	education	robotsllmsaihumans	emailphone	none
skagitfae.org ↗	65 match 1 shared topics	Foundation for Academic Endeavors – Collectively breaking down barriers to educational achievement for diverse learners, educators and their families.	en	education WordPress	robotsllmsaihumans	emailphone	none
cscdlab.com ↗	65 match 1 shared topics	Concordia Social Cognitive Development Lab - Welcome	en	education Weebly	robotsllmsaihumans	emailphone	none
gmerf.com ↗	65 match 1 shared topics	Global Medical Education and Research Foundation (GMERF) \| Skill Development \| Lakdi-ka-pul, Hyderabad	en	education Wix	robots llmsaihumans	emailphone	none
mindcodelab.org ↗	65 match 1 shared topics	Cognitive Development Lab – Cognitive Development Lab at Cal State East Bay	en	education WordPress	robotsllmsaihumans	emailphone	none
giammacias.com ↗	65 match 1 shared topics	Gia Macias - Ph.D., researcher, and educator	en	education	robotsllmsaihumans	emailphone	none
natalaygmaria.com ↗	65 match 1 shared topics	Natalay G. Maria – Writer and Educator	en	education WordPress	robotsllmsaihumans	emailphone	none
mcnicholsfoundation.org ↗	65 match 1 shared topics	McNichols Family Foundation – Providing educational enrichment to communities in need	en	education WordPress	robotsllmsaihumans	emailphone	none
siseprogram.org ↗	65 match 1 shared topics	Stradivarius International Student Education Program - Who We Are	en	education Weebly	robotsllmsaihumans	emailphone	none
curriculumredesign.org ↗	65 match 1 shared topics	Center for Curriculum Redesign \| Education for the Age of AI	en	education WordPress	robots llmsaihumans	emailphone	partial · 3

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.