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Rethinking Quality of Life

A New Lens on Society, Economy, and the Future of Work

What This Is About

This is not a political argument. It’s about how we think about society and the economy. Specifically, it’s about the roles that government, people, and businesses can play in shaping a better future. There’s a broad sense of frustration growing—people are struggling to afford basic needs like:

    • Housing
    • Healthcare
    • Education
    • Crime and public safety
    • Mental health support

We’re running out of solutions that give people hope.

Why Now?

The economy is in flux, and the future of work is becoming increasingly uncertain. Artificial Intelligence is poised to reshape every industry. The way we live, work, and interact with institutions is shifting. These changes demand a new way to measure progress—one centered on Quality of Life.

The Big Questions

In this moment of uncertainty, we have to ask:

    • How are things going to change?
    • When will they happen?
    • What should we do to prepare or respond?
    • Where are we actually headed?

A Data-Driven Lens

To make real progress, we need a different kind of lens—one that’s grounded in data and outcomes, not just ideology or headlines. This means moving beyond anecdotes to rigorous, longitudinal data that shows us how different people experience life in different places and systems. We also need an objective function—a clear way to evaluate what we’re trying to optimize for.

How Quality of Life Is Measured Today

There are already many efforts to measure quality of life, including rankings from U.S. News and World Report and city/state comparisons. These rely on metrics like:

    • Economy
    • Housing
    • Education
    • Crime
    • Infrastructure

But most of these models are heuristic, static, and one-size-fits-all. They focus on median cases and snapshots in time—not the lived reality of different people navigating complex tradeoffs.

What We Want to Do Differently

    • Evaluate quality of life for different types of people—not just the median citizen
    • Use real-time, forward-looking data
    • Be outcome-driven using survey data and behavioral signals

Research Plan and Methodology

We propose a three-step approach:

    • Step 1: Survey what’s already out there—metrics used, data categories, existing models
    • Step 2: Find better data—IPUMS, SIPP, ACS for tracking real outcomes over time
    • Step 3: Build a better model—compare metro areas by income, industry, and housing trajectory

Anticipating the Future

To stay ahead of the curve, we need forward-looking indicators. Potential sources include:

    • Job postings (LinkedIn, ZipRecruiter)
    • University recruiting trends
    • Placement data from institutions like UC, CSU, Stanford, and UCLA

We can also partner with AI and labor researchers to stay aligned with technological trends and workforce shifts.

Why This Matters

This is not just a critique—it’s a blueprint. We want to build tools that help governments, communities, and individuals make smarter decisions about:

    • Where to invest
    • How to govern
    • How to live

We believe in outcome-driven analysis, grounded in the experiences and choices of real people. That’s how we make quality of life more than a buzzword—and turn it into a compass for action.

Call to Action

We’re looking for collaborators—data scientists, economists, sociologists, policymakers—who want to help build this future. If this resonates with you, we’d love to talk