GSN3: How colonial data gaps and corporate greenwashing obscure Indigenous-led land stewardship
Original framing: “Global Safety Net v3 launched to monitor the global extent and condition of natural land annually” — bing news
The voices most affected by GSN3’s data—Indigenous land defenders, small-scale farmers, and frontline communities—are entirely absent from its development. For instance, the *Zapatistas* in Mexico have developed autonomous mapping systems to resist state and corporate land grabs, yet GSN3 offers no platform for such grassroots alternatives. Similarly, *African women farmers*, who manage 80% of the continent’s food systems, are invisible in the platform’s metrics. Without centering these voices, GSN3 risks amplifying the same power structures that have historically silenced marginalized land users, turning them into 'data points' rather than agents of change.
GSN3 exemplifies how conservation technology reproduces colonial patterns of knowledge extraction, where Indigenous stewardship is treated as 'data gaps' rather than solutions.
The platform’s framing obscures the fact that land degradation is often a symptom of dispossession—whether through colonial land grabs, industrial agriculture, or carbon offset schemes—rather than a failure of local management. By centering algorithmic metrics over lived Indigenous knowledge, GSN3 becomes complicit in the same extractivist logics it claims to combat. The trickster reading reveals its true role: not as a 'safety net,' but as a *fishing net* for corporate interests, where the 'catch' is land data repurposed for profit. To break this cycle, solutions must prioritize Indigenous data sovereignty, postcolonial science audits, and commons-based metrics—shifting from surveillance to solidarity in land governance.