On December 8-10, 2020, we hosted our 4th annual meeting virtually for nearly 400 participants. After a strong reception from community members, we want to give attendees and supporters the chance to: review the event agenda, session footage, presentation materials, and to join our growing All In community. Download a PDF with a listing of all the recordings.
On October 22, 2020, All In hosted a webinar training with Shavon Arline-Bradley, Founding Principal of R.E.A.C.H Beyond Solutions, LLC, that helped define what the All In community means when it talks about racial equity. The training explored how racial equity and inclusion show up in multi-sector community collaboration and data sharing work. The training helped guide participants toward understanding what racial equity is and help them feel more confident to take a next step and act in their professional capacities to address racial equity.
Part 3 of 3: Successfully engaging stakeholders to center racial equity across the data life cycle
On October 14, 2020, All In and the Network for Public Health Law presented Part 3 of their three-part series on Racial Equity Throughout Data Integration, highlighting the work of AISP, Children’s Services Council of Broward County, and Detroit Community Technology Project.
A Compilation of What We Have Learned From the First Wave of COVID-19
Welcome to the Digital Edition of “What We Have Learned From the First Wave of COVID-19” updated with additional stories, more multimedia content, and examples showcasing how data can be used in times of crisis to provide equitable health solutions.
All In reached out to provide support to the frontlines of community-based data sharing at the outbreak of the COVID pandemic in the U.S. In May, All In hosted the first of three COVID listening sessions, loosely structured forums for collaborative leaders to share their experiences, including frustrations and successes, setbacks and challenges, progress and pitfalls. Participants described their efforts to leverage the multi-sector relationships in their communities and build new data-sharing tools on top of systems they had built for other purposes.
Some of those stories are powerfully told in our publication.
Part 2 of 3: How do you center racial equity throughout the data life cycle?
On September 22, 2020, All In and the Network for Public Health Law presented their three-part series on Racial Equity Throughout Data Integration. Data integration by local and state governments is undertaken for the public good: by breaking down program silos, practitioners and policy-makers can address the often interconnected needs of families and communities more effectively and holistically.
Part 1 of 3: Is it legal? Is it ethical? Is it a good idea? An introduction to cross-sector data sharing.
On September 3, All In and the Network for Public Health Law kicked off their three-part webinar series on Racial Equity Throughout Data Integration, featuring Actionable Intelligence for Social Policy. Are you newly interested in data sharing and wondering where to start? Are you working on building shared language and understanding with new data partners? AISP has got you covered.
Community-led governance allows for inclusive collaboration and prioritization of needs, and elevates applicable data needed to advance collective goals. In this webinar, we’ll learn from two former DASH-funded communities who are demonstrating success in leading multi-sector collaboration and data sharing efforts driven by community voice.
This crisis can be a wake-up call for us to kick-start multi-sector
data sharing including building a platform for data sharing.”
Irene Vidyanti, Data Scientist, LA County Chief Information Office.
The COVID crisis has triggered a cascade of connected issues. In Los Angeles, mass unemployment may lead to a 45% jump in homelessness. Financial and food insecurity have spiked. Anxiety, depression, and mental health problems have risen. Simultaneously, many of the nonprofits and community-based organizations addressing these issues have temporarily shuttered during stay-at-home orders.