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Global Humanities Network – Permanently transform the way we teach, research and think about the Humanities — 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
dillonstanco.com ↗	70 match 1 shared topics	Humanities Lab – A Research Center for the Humanities at American University	en	education WordPress	robotsllmsaihumans	emailphone	none
alanyliu.org ↗	67 match 1 shared topics	alanyliu.org – Research and Teaching Website	en	education WordPress	robotsllmsaihumans	emailphone	none
digitalmontpelier.org ↗	66 match 1 shared topics	The Institute for Advanced Technology in the Humanities	en	education	robotsllmsaihumans	emailphone	none
dhutah.org ↗	66 match 1 shared topics	DHU10 - DIGITAL HUMANITIES UTAH	en	education WordPress	robotsllmsaihumans	emailphone	none
dhnigeria.org ↗	66 match 1 shared topics	Digital Humanities Association in Nigeria – Promoting Digital Humanities Scholarship in Nigeria and Beyond	en	education WordPress	robotsllmsaihumans	emailphone	none
dhwogem.org ↗	66 match 1 shared topics	DH-WOGEM · Women and Gender Minorities in Digital Humanities	en	education	robotsllmsaihumans	emailphone	none
latlab.org ↗	65 match 1 shared topics	Neo-Latin Lab – A Project of the Classics Research Lab at Johns Hopkins University	en	education WordPress	robotsllmsaihumans	emailphone	none
digitalhumanitiesnow.org ↗	65 match 1 shared topics	Digital Humanities Now – Community-Curated Content from the Field	en	education WordPress	robotsllmsaihumans	emailphone	none
palestinett.org ↗	65 match 1 shared topics	Palestine Teaching Trunk – Teaching materials about Palestine and Israel	en	education WordPress	robotsllmsaihumans	emailphone	none
etsandler.com ↗	65 match 1 shared topics	Dr. Elisabeth Theresa Sandler – Qualitative Researcher & Sociologist	en	education WordPress	robotsllmsaihumans	emailphone	none
digitalhistorian.org ↗	65 match 1 shared topics	Jane Winters – Developing digital history and digital humanities at the School of Advanced Study	en	education WordPress	robotsllmsaihumans	emailphone	none
leri.co ↗	64 match 1 shared topics	Lasallian Education & Research Initiatives (LERI)	Colombia en	education WordPress	robotsllmsaihumans	emailphone	none
ourglobalclassroom.org ↗	64 match 1 shared topics	Our Global Classroom – One World, One Classroom	en	education WordPress	robotsllmsaihumans	emailphone	none
pacificrimlibraries.org ↗	64 match 1 shared topics	Pacific Rim Research Libraries Alliance - PRRLA	en	education WordPress	robotsllmsaihumans	emailphone	none
esthercyna.com ↗	64 match 1 shared topics	Esther Cyna – Scholarship, Teaching and Advocacy	en	education WordPress	robotsllmsaihumans	emailphone	none
defenceindepth.co ↗	64 match 1 shared topics	Defence-In-Depth – Research from the Defence Studies Department, King's College London	Colombia en	education WordPress	robotsllmsaihumans	emailphone	none
allegraresearch.org ↗	64 match 1 shared topics	allegraresearch-site \| Privacy and Terms pages for academic research app	en	education	robotsllmsaihumans	emailphone	none
meddirectfoundation.org ↗	64 match 1 shared topics	MedDirect Foundation \| Premed Mentorship, Research, Clinical Exposure, and Community Outreach	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:

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.