Making Sense Bali
About · Making Sense Bali

A sensor without a matter of concern produces data without consequence.

So we don't start with sensors. We start with what you already know is wrong — the smoke at night, the haze over the valley, the smell that wasn't there last year — and only then decide what's worth measuring. The instrument follows the concern, never the other way around.

How it works

Listen. Show. Act.

Three moves, repeated. None of them is the technology — the technology only serves the loop.

01 · Listen

Two sources, one truth

Open-hardware sensors measure air, noise, heat and humidity around the clock. An AI-assisted WhatsApp bot lets any resident report what they see — burning waste, smoke, a new smell — in their own words, in Indonesian, English or Balinese.

02 · Show

Make it legible

Both streams land on one public map. Every reading is checked against international guidelines — WHO for air and noise, EPA and ASHRAE indoors — and translated into plain language. No login, no tracking, no paywall.

03 · Act

Visibility into change

Seeing is the start. From there: workshops, advocacy with the banjar and local government, changes in homes and schools. Fab Lab Bali runs the response loop with local partners.

The work, in seven phases

We're at the beginning — and that's deliberate.

Most sensing projects start by buying sensors. We start by asking what matters. Right now we're in Phase 1: collecting the concerns that decide everything downstream.

01

Scoping NOW

Collect matters of concern from residents. Decide what this campaign is actually about.

02

Community

Convene contributors — schools, banjar, NGOs, fab labs.

03

Planning

Co-design what to measure, where, and how often.

04

Sensing

Deploy the sensor network and the citizen-reporting bot at scale.

05

Awareness

Read the data together. Turn signals into shared understanding.

06

Action

The community decides the response: visibility, advocacy, intervention.

07

Reflection

Document what worked, what didn't, and what comes next.

Where it comes from

Local hands, a global lineage.

Fab Lab Bali leads — accountable, run by people who live here. The method and the hardware come from a decade of open work elsewhere, adapted for this island, not imported wholesale.

Campaign lead
Fab Lab Bali

Local fabrication lab and maker community. The accountable institution. Part of the global Fab Lab network.

Methodology
Making Sense (EU)

2015–2017 H2020 project. Pilots in Amsterdam, Barcelona, Pristina. Fab Lab Barcelona / IAAC.

Open hardware
Smart Citizen Kit

Originated at Fab Lab Barcelona / IAAC. Open-source environmental sensing, used worldwide.

Network
Fab City + Murmurations

Bioregional hub framework, plus federated discovery linking peer initiatives across the world.

How Bali evolves the method

The same loop — now with AI sensemaking and federated data.

The EU Making Sense project gave us the loop: start with concerns, sense, show, act. In Bali we're extending it in three ways that matter — turning a one-line message from a resident into structured, verifiable, shareable evidence, without surrendering it to anyone.

Reporting

AI-assisted, in your own words

A resident sends a photo and a sentence to a WhatsApp bot — that's the whole ask. No forms, no categories to pick, in Indonesian, English or Balinese. The barrier to contributing environmental data drops to almost nothing.

Analysis

Read by local AI, checked by people

A vision model running on Fab Lab Bali's own hardware — not a distant cloud — reads each photo: is something burning, is it waste, how serious. A person verifies before anything is published. The intelligence stays local, low-cost, and accountable to the community.

Federation

Open data that travels

Every verified observation becomes an open, structured record — a Murmurations profile on a sovereign PlanetAI node, discoverable across the Fab City network. Bali's data isn't trapped in one database; it federates with peer initiatives worldwide on shared standards.

Put together, it's a real shift: the community owns the concern, the sensing, the AI that reads it, and the data it produces — sovereign, local-first, and federated by design, not bolted on after.

In the classroom · who answers for this

Real data, taught where students live.

For teachers and schools

A 45-minute lesson where students compare their schoolyard's PM2.5 to the WHO guideline — then to a reference school in Barcelona via Smart Citizen's global network. Or a half-day workshop to build and install a classroom sensor.

Bring it to your school →

Who answers for this

Making Sense Bali is led and moderated by Fab Lab Bali — a real, local, accountable institution, not an anonymous platform. Every report is human-verified before it appears. The data is open; the methodology is documented; the people are reachable.

fablabbali@gmail.com →

"We're starting with your concern — and only then deciding what to measure."

Making Sense methodology, adapted for Bali
Now you know the why

The map is waiting. So is your part in it.