Mohamed Mwazigona hauled in just 2 kilograms of fish on a March morning in Mtwapa, Kenya — a meager catch that perfectly captures the crisis facing the country's artisanal fishers. With fishing grounds increasingly crowded and stocks depleted, fishermen like Mwazigona have been forced to migrate along the coast in search of better waters, yet they still struggle to know where to fish or when, hampered by a critical shortage of reliable data. Now Kenya is launching an ambitious initiative to fix that problem, installing trackers on fishing vessels, digitizing data collection, and building a centralized platform that could transform how the country manages its struggling small-scale fisheries.

The root of the crisis runs deeper than overcrowding. Beach management units — the local organizations that represent artisanal fishers — have long been tasked with collecting data on fish catches to inform government policy. Yet their efforts have been plagued by inaccuracy and inaccessibility. Officers only switched from paper records to digital methods in 2022, and even now face enormous obstacles: limited funding, poor infrastructure, fishers' reluctance to share information, and low literacy levels. Without reliable data, both government officials and fishers themselves have been operating in the dark, unable to make informed decisions about sustainability or resource allocation. As Emmanuel Mbaru, a senior scientist at WorldFish who is leading the data project, explains, understanding the mechanics of data collection remains a significant challenge even after years of persuading fishers to participate.

WorldFish, a Malaysia-based research organization, is spearheading Kenya's response as part of a broader seven-year initiative called the Asia–Africa BlueTech Superhighway, which spans five countries: Kenya, Nigeria, Tanzania, Mozambique, and Bangladesh. The Kenyan project draws its blueprint from Peskas, a successful collaboration between WorldFish and the government of Timor-Leste that began in 2016 and now serves as that country's official national fisheries monitoring system. In Timor-Leste, the absence of small-scale fisheries data had left policymakers without evidence to develop strategies for improving food security, incomes, and climate resilience — a situation Kenya is determined to avoid.

The improvements are already underway. One hundred and fifty boats have been fitted with trackers, offering real-time visibility into where fishing is occurring and what is being caught. The data flows into a centralized digital platform accessible to both government agencies and fishers themselves, who can use the information to make smarter decisions about where and when to cast their nets. For Mwazigona, the promise is more than abstract. He currently uses a boat owned collectively by his beach management unit, paying a fee for each fishing trip. If he could leverage his catch data to access credit, he said, he would invest in his own equipment and escape the dependency that keeps him poor despite decades at sea. Such tangible benefits — the prospect of boat donations from NGOs, access to financing, improved livelihood security — may prove crucial in sustaining fisher participation in the long term. The data revolution in Kenya's fisheries has only just begun, but it arrives at a moment of genuine urgency for communities whose survival depends on reversing the decline.