MU Shanghai · Proof of Living

Proof of Living

MU Shanghai 2026 · 05/10–06/06

Month-long experimenters reveal before/after data — HRV coherence shifts, sleep efficiency changes, VO2 estimates, blood biomarker deltas. Week-long hackathon teams demo what they built. Everything ships into the Longevity Commons — open-source, for anyone to build on.

Four weeks of coliving. Five measurement layers. One moment to show what actually changed. Proof of Living (PoL) is the final showcase of MU Shanghai’s Longevity Experience Month.

When

May 10 – June 6, 2026

Where

MU Shanghai · Hongqiao · Shanghai

Who presents

Biohacker leads, track participants, builders, continued BioBloom teams

Who attends

Entire MU Shanghai community + invited researchers, investors, press

Archive

Everything → Longevity Commons

The Three Musts

Every PoL presenter — regardless of track — must address three things. No exceptions.

1

Monitoring / Observations

What did you measure? What signals did you watch?

This is the evidence layer. You picked a question. You chose your measurement layers. You observed yourself or your participants over days or weeks. Show us what you tracked and what the data looks like. This can be as simple as daily HRV from a smartwatch or as deep as blood panels with 100+ biomarkers. What matters is that you measured something, consistently, and can show the trajectory.

2

Intervention / Interactions

What did you do differently? What did you change?

This is the action layer. Monitoring alone is a dashboard. An intervention is what makes it an experiment. You changed your diet. You practiced Baduanjin every morning. You built a tool and tested it on co-livers. You ran a CGM protocol with structured meals. The intervention doesn’t need to be dramatic. It needs to be defined: what you did, how often, for how long, and what you expected to happen.

3

Demo / Deliverables

What did you produce? What can people see, touch, try, or take home?

This is the output layer. Every presenter ships something tangible. A dataset. A dashboard. A protocol document. A film. An app. A recipe. A before/after report. A zine. An AI agent that recommends breakfast based on your CGM data. “We discussed it a lot” is not a deliverable. “We built a glucose-meal correlation dashboard and here’s the live demo” is.

The Five Measurement Layers

LayerWhatExamples
1WearablesHRV, sleep stages, stress, respiratory rate (smartwatches, smart rings)
2Continuous monitorsCGM glucose readings every 5 min, continuous HRV bands
3Consumer neuro wearablesNeural/recovery signals, neuromodulation-style feedback (consumer neuro devices)
4Blood biomarkersInflammatory markers, immune signals, metabolic profiles (100+ markers)
5EpigeneticsBiological age clocks — molecular-level aging estimates

Most presenters work with Layers 1–2. Some go deeper. The template tracks show the range: the CGM track uses Layer 2 + Layer 1; the Bodywork track uses Layer 1 only. Your track can go to Layer 5 — or stay at Layer 1 and still present a compelling reveal. The only requirement: whatever you measured, show the data.

The Dual Ledger Card

Every presenter prepares one Dual Ledger Card — an artifact that bridges quantified signal with lived meaning.

Biomarker DeltaLived Experience
HRV: 42ms → 56ms (+14ms)"The Baduanjin morning routine rewired my mornings"
Sleep efficiency: 71% → 88%"I stopped waking at 3am by Week 3"
Fasting glucose: stable (no change)"The CGM taught me my breakfast was wrong"

Numbers on the left. Embodied meaning on the right. Both matter.

What Stays — The Longevity Commons

Everything shown at Proof of Living ships into the Longevity Commons — MU Shanghai’s open-source repository. Your work lives beyond PoL. Future cohorts build on what you started.

What Goes InFormatLicense
Code & toolsGitHub repositoriesMIT / Apache 2.0
Anonymized datasetsStructured data (opt-in)CC BY 4.0
Protocols & SOPsStructured protocol documentsCC BY 4.0
DashboardsDeployed apps + sourceMIT
Films & mediaHosted filesCC BY 4.0
Research notesMarkdown, notebooksCC BY 4.0

Your work lives beyond PoL. Future cohorts build on what you started.

Common Questions