Run a free full auditCenter for Community Health and Development is a University in Lawrence, KS, located at 1000 Sunnyside Ave. Affiliated with the Department of Applied Behavioral Science and the Schiefelbusch Institute for Life Span Studies at the University of Kansas, the Center supports community health and development through collaborative research, evaluation, teaching, training, and technical support. Since 1975, generations of Ph.D.-level researchers, graduate and undergraduate students, and professional staff have carried on this effort. The Center is recognized as a World Health Organization Collaborating Centre for Community Health and Development, a designation it has held since 2004. Its multi-generational team includes professionals with disciplinary backgrounds in applied behavioral science, community psychology, anthropology, education, law, child development, urban planning, and public health. They address issues including health promotion, substance abuse, education, child and youth development, rural health, and neighborhood development in urban communities.
The Center offers a variety of services to support the work of promoting community health and development, including the Community Check Box Evaluation System, Community Tool Box Training Curriculum, capacity building trainings, community health assessment and planning, and facilitation of community processes. Staff provide facilitation for small and large group processes, including coalition meetings, board retreats, town hall meetings, focus groups, PhotoVoice initiatives, and collaborative community planning. The Center’s Community Tool Box is the world's largest resource for building capacity for community health and development, containing over 7,000 pages of content available in English, Spanish, Arabic, and Farsi. It serves 6 million unique users annually from 300 countries. The Center also created the Building Healthy Communities online course, featuring 16 self-contained instructional modules for developing practical skills in core areas of community health and development.
The Center provides research and evaluation, teaching and training, and technical support for various initiatives. It supports the Kansas Department of Children and Environment and the Kansas Coalition Against Sexual and Domestic Violence in the primary prevention of sexual violence. It provides evaluation and capacity-building training for the Kansas Department of Health and Environment’s maternal and child health efforts and supports the Kansas Department of Aging and Disability Services in preventing substance abuse. The Center also serves as the third-party evaluator for the Ewing Marion Kauffman Foundation’s Collective Impact Initiative. The Center has partnered with the Lawrence-Douglas County Health Department to form the first Academic Health Department in the state of Kansas.
The Center for Community Health and Development brings decades of academic expertise and global recognition to Lawrence, offering practical tools and research-driven strategies to build healthier communities.
The Center for Community Health and Development is located on Sunnyside Ave in Lawrence, KS, approximately a tenth of a mile from the KU Child & Family Services Clinic and Watson Library.
BizScoreAI gives the business a Schema & Structure score of 100 out of 100, which means AI assistants and search engines can clearly understand what the business offers. The Technical score is 79 out of 100.
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BizScoreAI scanned the website communityhealth.ku.edu on June 19, 2026. Center for Community Health and Development has a BizScore of 54 out of 100. The website audit behind the SEO score ran on October 27, 2026.
AI visibility scan by category: AI Discovery 10 of 25 points, Structured Data 0 of 25 points, Content Readiness 14 of 30 points, AI Trust Signals 11 of 20 points.
Website audit sub-scores (out of 100): On-Page 76, Technical 66, Performance 74, Content 40.
Strengths: 5 checks passed. AI Crawler Access, AI Content Blocking, AI-Parseable Headings, About/Team Page, XML Sitemap.
Areas to improve: 5 checks. llms.txt (failed), Structured Data (failed), Q&A Content (failed), Meta Description (failed), Author Signals (warning).
Read by AI engines 1 time in the last 30 days.
Counted from AI crawler and assistant visits to this page, identified by user agent.
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