Our latest research initiative puts data collection directly into the hands of community members, revealing disparities that traditional studies often miss.
Traditional health research has a problem: it often studies communities without meaningfully involving them in the research process. The result is data that misses crucial context and fails to capture the full picture of health inequities.
Our Community Research Network is changing this dynamic by training community members to conduct their own health research. Through our Participatory Research Institute, residents learn research methodology, data collection techniques, and analysis skills.
"When community members control the research process, different questions get asked and different solutions emerge," explains Dr. Aisha Johnson, who directs the institute. "We're not just studying health disparities – we're uncovering their root causes through the eyes of those who experience them daily."
The institute's first major study examined food access in three Denver neighborhoods. Rather than simply mapping grocery stores, community researchers documented the full food ecosystem: corner stores, food pantries, community gardens, and informal food networks.
Their findings challenged conventional wisdom about "food deserts." While the neighborhoods had fewer traditional grocery stores, community researchers identified robust informal food networks that surveys had missed. However, they also uncovered new barriers: store hours that didn't match work schedules, lack of culturally appropriate foods, and transportation challenges.
These community-generated insights led to policy recommendations that addressed the real barriers people face, not just the theoretical ones identified through traditional research methods.
The success of the food access study has led to new community-driven research projects on housing quality, air pollution exposure, and mental health resources. Each study combines rigorous methodology with the deep community knowledge that only residents possess.