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Caucus for Women in Statistics and Data Science – Supporting an Inclusive Statistics and Data Science Community — 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
biostatstexts.co.uk ↗	68 match 1 shared topics	Biology Statistics Textbooks – Teaching and learning statistics for biologists	GB en	education WordPress	robotsllmsaihumans	emailphone	none
discoveringstatistics.com ↗	66 match 1 shared topics	Discovering statistics – Discovering Statistics	en	education	robotsllmsaihumans	emailphone	none
usmlebiostatistics.com ↗	66 match 1 shared topics	Home \| USMLE Biostatistics and Biostatistics Refresher	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cs4-me.org ↗	66 match 1 shared topics	CS4Maine – Support Computer Science for ALL Maine Students	en	education WordPress	robotsllmsaihumans	emailphone	none
hasswa.com ↗	65 match 1 shared topics	Humanities and Social Sciences for WA – HASSWA is a group of people committed to promoting Humanities and Social Sciences across Western Australia	en	education WordPress	robotsllmsaihumans	emailphone	none
deangeliscenter.org ↗	65 match 1 shared topics	DeAngelis Center Foundation \| Supporting school and community safety	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
a2cmc.org ↗	65 match 1 shared topics	Ann Arbor Citizens Millage Committee – Supporting High-Quality Public Education in Ann Arbor	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
awsshome.com ↗	64 match 1 shared topics	AWSS – Association For Women in Slavic Studies	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cschub.org ↗	64 match 1 shared topics	The Communication for Social Change Hub – Creating and curating resources for social and behavior change.	en	education WordPress	robotsllmsaihumans	emailphone	none
uunzcommunityedu.com ↗	64 match 1 shared topics	UUNZ Community Trust – Educating and empowering our communities	en	education WordPress	robotsllmsaihumans	emailphone	none
academic-women.com ↗	64 match 1 shared topics	AcademicWomen - Jobs and career networking for women in academia	US~ en	education	robotsllmsaihumans	emailphone	none
academicwomen.com ↗	64 match 1 shared topics	AcademicWomen - Jobs and career networking for women in academia	US~ en	education	robotsllmsaihumans	emailphone	none
academicwoman.com ↗	64 match 1 shared topics	AcademicWomen - Jobs and career networking for women in academia	US~ en	education	robotsllmsaihumans	emailphone	none
cultivatinghumanities.org ↗	64 match 1 shared topics	Cultivating the Humanities & Social Sciences (CHSS) - Cultivating the Humanities and Social Sciences & Supporting Under-Represented Scholars of Asia	en	education WordPress	robotsllmsaihumans	emailphone	none
cultivatinghumanities.com ↗	64 match 1 shared topics	Cultivating the Humanities & Social Sciences (CHSS) - Cultivating the Humanities and Social Sciences & Supporting Under-Represented Scholars of Asia	en	education WordPress	robotsllmsaihumans	emailphone	none
dramyzavadil.com ↗	64 match 1 shared topics	Amy Zavadil Consulting – Inclusive Coaching, Consulting, Training and Prevention Education	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2udata.com ↗	64 match 1 shared topics	Introduction to Applied Statistics and Design of Experiments	en	education	robotsllmsaihumans	emailphone	none
cunycscd.org ↗	64 match 1 shared topics	Center for Systems and Community Design	en	education Squarespace	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:

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.