Climate And Environmental Governance: Pay the people in the flood

This article first appeared in Forum, The Edge Malaysia Weekly on March 30, 2026 - April 5, 2026

Malaysia floods. This is not a metaphor. Roughly a third of the country’s land area is flood-prone, and in the years since the 2021-2022 monsoon season that displaced over 70,000 people, the question of how to build meaningful early warning capacity has become urgent. The government — through the National Disaster Management Agency (Nadma) and others — has invested in infrastructure. Scientists have invested in sensors. What neither has adequately invested in is the most precise, real-time instrument available: the eyes, phones and lived knowledge of the people already standing in the water.

Crowdsourced flood monitoring — enlisting residents to submit geo-tagged photos, water depth observations and hazard reports via mobile apps — has quietly proven itself across the world. Pilot projects in Nepal, India, Indonesia and the Netherlands show that community-submitted data, properly structured and verified, can improve hydrological forecast accuracy by 30% to 50% over sensor-only models. Systems like MAppERS, BluPix and Pin2Flood demonstrate that a photograph of floodwater next to a car tyre or road sign, combined with GPS coordinates and a timestamp, can yield water depth estimates accurate to within 15cm. That is not anecdote. That is science.

However, a framework paper on community-based early warning systems (CBEWS) from Climate Governance Malaysia notes that public awareness of such portals remains low, engagement is inconsistent and the data that does flow in is frequently unverified. The familiar failure modes recur: a top-down system designed without genuine community input, a funding model that evaporates when the non-governmental organisation departs, and residents who contribute during a crisis only to be forgotten once the waters recede. These are not technical problems. They are economic and governance problems. And they have a solution that Malaysia is unusually well-placed to pioneer.

The emerging global conversation around personal data ownership offers a powerful reframe. For two decades, the digital economy has operated on a lopsided premise: individuals generate data and corporations extract value from it. Search queries, location histories, purchase patterns, health signals — all flow upstream to entities whose business models depend on that raw material, while the humans who produced it receive nothing beyond the convenience of a free service. Economists and legal scholars have increasingly argued that this is neither inevitable nor fair. Data has real economic value, and there is no structural reason why the person who created it should not participate in the upside.

READ THE FULL ARTICLE HERE