Systemic underfunding of digital infrastructure and data sovereignty gaps undermine global humanitarian tracking systems

Indigenous knowledge systems treat vulnerability as a collective, place-based condition rather than an individual attribute, challenging the extractive logic of digital tracking. Traditional ecological knowledge in the Pacific Islands, for example, uses oral histories and ecological indicators to map displacement risks without relying on proprietary software. These systems prioritize consent, reciprocity, and long-term stewardship—values absent in mainstream humanitarian data frameworks.

The current crisis echoes colonial-era data systems, where censuses and surveillance were tools of control rather than care, as seen in British India’s famine tracking or apartheid South Africa’s population registers. Post-WWII humanitarianism institutionalized these extractive practices, with UN agencies adopting Cold War-era data models that prioritized state sovereignty over community needs. Structural adjustment programs in the 1980s-90s systematically dismantled public welfare infrastructure, creating the conditions for today’s digital dependency.

In Kerala, India, the * Kudumbashree* network uses participatory data collection to track elderly care, blending digital tools with community trust—a model that contrasts with top-down UN systems. Somali pastoralist communities have long used *xeer* (customary law) to manage displacement, a system that could inform decentralized digital ledgers resistant to censorship. The contrast between these models and Western humanitarian tech reveals a fundamental tension: data as a public good versus data as a commodity.

Peer-reviewed studies show that digital tracking systems often fail to account for intersectional vulnerabilities, such as elderly refugees with disabilities or indigenous women facing gender-based violence. Research from the *Lancet Digital Health* highlights how algorithmic bias in refugee databases reproduces colonial-era categorizations (e.g., 'economic migrant' vs. 'refugee'). Meanwhile, open-source tools like *OpenStreetMap* demonstrate that community-led mapping can outperform proprietary systems in accuracy and trust.

Artists like For Freedoms have used data as a medium to visualize systemic neglect, such as their *America’s Eroding Social Contract* project, which maps the collapse of care infrastructure. In Buddhist traditions, *metta* (loving-kindness) meditation is used to cultivate non-attachment to data, challenging the commodification of human suffering. Indigenous artists like Christi Belcourt have critiqued data colonialism through works like *The Wisdom of the Universe*, framing data as a living, relational process rather than a static record.

Scenario modeling by the *International Data Corporation* predicts that by 2030, 60% of humanitarian tracking systems will rely on AI, increasing the risk of algorithmic harm without stronger governance. Alternative models, such as *data trusts* or *commons-based peer production*, could decentralize control while ensuring accountability. The *Digital Public Goods Alliance*’s work on open-source tools offers a pathway to resist tech monopolies, but requires sustained funding beyond short-term pilot projects.

Refugees in Jordan’s Zaatari camp have documented how UNHCR’s biometric systems exclude LGBTQ+ individuals and survivors of sexual violence, prioritizing state security over survivor safety. Elderly communities in Japan report that digital tracking systems deepen isolation by replacing human care with algorithmic check-ins. Indigenous leaders in Canada’s *Idle No More* movement have long warned that datafication of Indigenous lives enables state surveillance and resource extraction, a critique echoed in global Indigenous data sovereignty movements.