Engaging people with lived experience in any project or policy work must be based on time, trust, equal partnership roles… and fair compensation, of course. Here are some suggestions on how to go about it.

The first webinar of DASH’s four-part series on Asset-Based Community Development (ABCD) offered an overview of the principles and tools used in the ABCD model. Registration is available for the remainder of the series.

It is essential to include the people with the experience in research and action related to health, public health, and social determinants of health. But it’s also important to carefully consider what is meant by “inclusion,” and to ensure the term and its initialism do not become an objectifying shorthand.

DASH is looking forward to hosting a free four-part webinar series on Asset-Based Community Development, starting in March, 2024. The series will be presented by Darryl Answer of Verge Solutions and Ron Dwyer-Voss of Pacific Community Solutions, as well as their DePaul colleague Indigo Bishop.

The All In National Inventory 2.0 survey captures the experiences of organizations participating in multisector data sharing. DASH, along with partners from the All In network and data.org’s Rising Equitable Community Data Ecosystems (RECoDE) team produced and disseminated this survey in 2021. Here are the results.

Data Across Sectors for Health (DASH) released two workbooks to help communities recognize data as an important asset in improving health equity.

A paper co-authored by our DASH colleagues argues that public health, healthcare, and social service sectors simply need to work with communities to democratize decisions about how their data is used.

This guide is designed for those who want to share health-related data but don’t know how or where to begin the process; as well as for those that have run into obstacles in their data-sharing planning.

RECoDE was launched in partnership with data.org, Data Across Sectors for Health, Health Leads, and the National Alliance against Disparities in Patient Health. The project aimed to better understand how to undo antiquated and dangerous data systems and build in their place an ecosystem that provides all communities power over where, when, and how their data is used to improve individual and community outcomes.