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Data Therapy – tips for empowering people with data from Rahul Bhargava at the MIT Center for Civic Media — 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
ethicsandsociety.org ↗	67 match 1 shared topics	The Ethics and Society Blog – Ethical Analysis & News from the Fordham University Center for Ethics Education	en	education WordPress	robotsllmsaihumans	emailphone	none
danielcurtiscummins.com ↗	66 match 1 shared topics	Dan Curtis-Cummins – First Year Writing teacher empowering students to advocate for themselves	en	education WordPress	robotsllmsaihumans	emailphone	none
curedu.org ↗	66 match 1 shared topics	The Center for Urban Research in Education	en	education Shopify	robots llmsaihumans	emailphone	none
britannicas.com ↗	65 match 1 shared topics	britannicas - "Britannacs.com – Empowering Learners Worldwide"	en	education WordPress	robotsllmsaihumans	emailphone	none
cee.org ↗	65 match 1 shared topics	Home Page \| Center for Excellence in Education	en	education Drupal	robotsllmsaihumans	emailphone	none
destinationachievers.net ↗	65 match 1 shared topics	Destination Achievers \| Empowering At-Risk Youth for a Better Life in Trumbull	United States~ en	education Lightspeed	robotsllmsaihumans	emailphone	none
ctr4process.org ↗	65 match 1 shared topics	Home - Center for Process Studies	en	education WordPress	robotsllmsaihumans	emailphone	none
cyecemw.org ↗	65 match 1 shared topics	Cyece – Center for Youth Empowerment and Civil Education – Center for Youth Empowerment and Civil Education	en	education WordPress WooCommerce	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
cvacademics.org ↗	65 match 1 shared topics	CV Academics Foundation - Empowering students	en	education WordPress	robotsllmsaihumans	emailphone	none
daadras.org ↗	65 match 1 shared topics	Daadras - Empowering Communities	en	education	robotsllmsaihumans	email phone	none
heroesjourney.com ↗	65 match 1 shared topics	Heroes Journey \| Empowering Students Worldwide	en	education Spree Commerce	robotsllmsaihumans	emailphone	none
bassofaregenerative.org ↗	65 match 1 shared topics	Bassofa Regenerative \| Empowering Brilliant Minds in Rural Ghana	en	education	robotsllmsaihumans	email phone	partial · 8
ethiopiaeducationaid.org ↗	65 match 1 shared topics	Ethiopia Education Aid – Supporting Young People in Ethiopia for a Better, Brighter Future	en	education WordPress	robotsllmsaihumans	emailphone	none
mccraewilliams.com ↗	65 match 1 shared topics	McCrae Williams Foundation – Advocating for Medical Amnesty for students at college campuses	United States~ en	education WordPress	robotsllmsaihumans	emailphone	none
responcity.com ↗	65 match 1 shared topics	Responcity \| Empowering a new generation	en	education WordPress	robotsllmsaihumans	emailphone	none
cuttingthecostofcollege.com ↗	65 match 1 shared topics	Cutting the Cost of College // How to get the Same Degree for a Discount – How to get the Same Degree with a Discount	en	education WordPress	robotsllmsaihumans	emailphone	none
baxtercribbs.com ↗	65 match 1 shared topics	Baxter Cribbs - Helping people help themselves through Enduring Information you can apply today.	en	education WordPress WooCommerce	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.