San Francisco, CA

AARP Community Challenge Grant Year: 2025

Project Category: Engaging people in transportation options/safety

Description: Community Living Campaign launched a neighborhood pilot to tackle accessibility barriers that made walking difficult for older adults and people with disabilities. In several San Francisco neighborhoods, broken sidewalks and blocked curb ramps disrupted daily errands, while residents had few clear ways to report problems or track follow up. The project showed residents how to spot issues and report them through city service channels. Older adults joined short walks, meetings and trainings that explained ADA basics and encouraged people to document hazards on their own or with neighbors. Hundreds of residents took part, generating reports shared with city partners. Participants said the effort restored a sense of purpose and connection. One resident said that after retiring she had felt "no longer needed," but that the project energized her and showed her contributions mattered. City agencies have begun weaving the training into ongoing community programs.

Project description was created using generative AI and then reviewed for accuracy.

San Francisco, CA

AARP Community Challenge Grant Year: 2022

Project Category: Digital navigation skills

Description: Many older adults in San Francisco struggled with technology-not because they lacked devices, but because they lacked help. To meet that need, SF Tech Council organized five multilingual "Tech Support Popups" that offered free one-on-one assistance in neighborhoods like Chinatown and the Tenderloin. Nearly 100 volunteers helped more than 200 residents update devices, remove viruses and sign up for affordable internet programs. The events built digital confidence and community connections, inspiring agencies to explore permanent tech help services. One Cantonese-speaking participant said she finally felt "heard" while learning to use her phone to stay in touch with her children.

Project description was created using generative AI and then reviewed for accuracy.