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Bertalanffy Center for the Study of Systems Science – From Heritage to Present Future – Systems Solutions for Sustainable Development — 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 Science →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
lumita.com ↗	65 match 1 shared topics	Lumita – Imaging & Color Science • Research & Product Development	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
accountablescience.com ↗	65 match 1 shared topics	The Center for Accountability in Science	en	science WordPress	robotsllmsaihumans	emailphone	none
suspolab.com ↗	65 match 1 shared topics	Sustainable Polymer Science Lab	en	science	robotsllmsaihumans	emailphone	none
jon-farrow.com ↗	64 match 1 shared topics	Jon Farrow – Science writer, editor, and presenter	en	science WordPress	robotsllmsaihumans	emailphone	none
barbara-wejnert.com ↗	64 match 1 shared topics	World Center for Women's Studies – To end global gender disparities using power of science, innovative thinking and experience	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
casualsci.com ↗	64 match 1 shared topics	Casual Science – Cutting Edge Research… Straight from the Horse's Mouth	en	science WordPress	robotsllmsaihumans	emailphone	none
3ratsinalabcoat.com ↗	64 match 1 shared topics	THREE RATS IN A LAB COAT – Come for the science writing, stay for the silly graphs.	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lumipol.com ↗	64 match 1 shared topics	Lumipol Technologies :: development and production of scientific instruments	en	science	robotsllmsaihumans	emailphone	none
bayesian.org ↗	64 match 1 shared topics	International Society for Bayesian Analysis \| The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development and application of Bayesian analysis.	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
discoverycentercollective.org ↗	64 match 1 shared topics	Discover Science & Nature \| Discovery Center Collective	en	science WordPress	robotsllmsaihumans	emailphone	none
hariarti.com ↗	64 match 1 shared topics	2525: From Ecosystems to AI Systems - An Early Anthropocene Journey	en	science	robotsllmsaihumans	emailphone	none
csr-bd.org ↗	64 match 1 shared topics	Centre for Social Research-CSR – Bridging Science, Technology, and the Social Fabric	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cusap.org ↗	64 match 1 shared topics	Students Against Pseudoscience – Based at the University of Cambridge	en	science WordPress	robotsllmsaihumans	emailphone	none
devcogneuro.com ↗	64 match 1 shared topics	Developmental Cognitive Neuroscience Lab - Adele Diamond	en	science	robotsllmsaihumans	emailphone	none
lupinesciencevisuals.com ↗	64 match 1 shared topics	Lupine Science Visuals – Scientific Illustrations for Researchers, Organizations, and Companies	en	science WordPress WooCommerce	robotsllmsaihumans	emailphone	none
piseca.com ↗	64 match 1 shared topics	Capacitive Sensor Solutions for Nanometrology	en	science	robotsllmsaihumans	emailphone	none
digitalpixel.co.uk ↗	64 match 1 shared topics	Digital Pixel - Microscopy Systems & Solutions	GB en	science	robotsllmsaihumans	emailphone	none
bccso.org ↗	64 match 1 shared topics	Beltsville Center for Climate System Observation (BCCSO) \| Home	en	science Drupal	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.