The Loneliness Solutions Community
We support the thinkers and doers working to solve the loneliness epidemic.
You’re fighting the good fight. Our job is to help you help each other win big.
Create Critical Mass and Community | So many people are doing great work, separately. Working together is how we solve big problems. We’re finding everyone working on solutions and bringing them together (and them with all the knowledge and evidence we can find). We’re the big tent. We don’t care how you’re funded or who you work for. If you’re working to solve this problem, we’re going to help you. Everyone doing work in this field is a part of our coalition by default. |
Solve the Fragmentation Problem | We are solving for fragmentation and isolation. Silos: bring together work that is isolated by academic discipline, location, etc. Local, isolated, and one-off projects produce important knowledge that isn’t aren’t shared – and the projects aren’t benefiting from best practices and resources discovered elsewhere. Recovering insights from past successes that are lost, undiscovered, or overlooked. Connecting researchers (and findings) to practitioners, and vice versa. |
Create a New Discipline | Loneliness studies is an important field in and of itself. If you’re working to solve loneliness, you’re making an important contribution. You belong in this group. It’s not just a subset of related fields such as psychiatry, aging, social work, etc. There needs to be a place where everyone is sharing work together – not being the only presenter on loneliness at some other conference. |
Serve as a neutral clearinghouse | What we do is great for everybody. We are agnostic and neutral about how to solve this problem. We never take sides or advocate for specific policies or solutions. We want everyone to win. |
Create common language | To maximize our impact, we need to be using common terms to discuss our work. Because this is such a fragmented field across disciplines and types of organizations, standardization is particularly important around terminology, taxonomy, and metrics. |