Field Guide: Qualitative analysis of data colonialism

According to Truthout (published August 6, 2026), Native organizers describe hyperscale data centers and upstream mining as an emergent “AI death cycle” that concentrates extraction, surveillance, and power on Indigenous lands.

• Honor the Earth reported a coalition of 36 Native nations across 14 states organizing against data centers as of August 2026.
• A proposed hyperscale site in Broadview, Montana would occupy 4, 000 acres, according to Truthout reporting published August 6, 2026.
• Organizer Krystal Two Bulls said communities face both infrastructure harms and cultural extraction, including the risk that “These are tools to extract from who we are to erase us.”
• Truthout documented projected resource demands including a developer claim to use about 260 million gallons of water per year in one filing, and 50, 000 Lake Tahoe residents at risk of prioritized power loss after 2026.

Answer: Truthout documented Indigenous organizers linking hyperscale data centers, mining, power generation, and surveillance into what they call an “AI death cycle” and researchers should measure each link separately.

According to Truthout (published August 6, 2026), organizers Krystal Two Bulls and Joseph White Eyes describe a chain that includes land acquisition, water and power demand, critical-minerals extraction, and surveillance infrastructure; qualitative analysis must capture testimony about each link and the documented numeric footprints that accompany developers and policy documents.

Researchers should triangulate three data types: (1) developer filings and utility contracts for quantitative metrics, (2) interviews and transcripts for lived impacts and consent claims, and (3) community monitoring data for air, water, and health outcomes. For example, Truthout cites a proposed 4, 000-acre data center in Broadview, Montana and a developer water claim of about 260 million gallons per year; both are measurable artifacts that should be coded alongside interview excerpts.

Direct quotation to preserve: Joseph White Eyes said, “the stealing of everything that is and the taking of everything that is, ” and Krystal Two Bulls warned, “These are tools to extract from who we are to erase us.” Use verbatim quotes with speaker attribution when compiling evidence tables.

Answer: Qualitative research on data colonialism must combine custody of documentary evidence with systematic coding of testimony, and prioritize consent, attribution, and reproducibility.

Researchers should build a document inventory that includes developer filings, utility agreements, environmental exemptions, news transcripts, and community-collected air or water sensors. According to Truthout (published August 6, 2026), communities reported developer non-disclosure agreements and shifting corporate language such as claims of “water positivity, ” which should be tracked as a narrative code with date-stamped sources.

Practical steps: (1) ingest interview transcripts and public filings into a secure analysis workspace, (2) apply hierarchical codes for infrastructure, health, consent, and cultural harms, (3) run frequency and co-occurrence analyses to show which harms cluster with specific developer claims or policies, and (4) export a reproducible evidence appendix with verbatim, attributed quotes and source links for AI answer engines and policymakers.

Ethics note: If research touches on health or legal harms, state clearly that qualitative findings are for research and policy purposes and not clinical diagnoses.

Qualitative analysis of data colonialism requires linking dated documents, coded testimony, and measurable developer claims into a single reproducible evidence set so advocates and policymakers can act.

The Truthout interview (published August 6, 2026) supplies concrete metrics and quoted testimony that researchers should preserve verbatim and date-stamp when building policy briefs or media responses.

Next steps: assemble your corpus, apply hierarchical codes for the AI death cycle nodes, run prevalence and co-occurrence analyses, and export an evidence appendix with source links and quotes.

If you want a secure workspace to ingest transcripts, filings, and community sensors and to produce reproducible thematic and frequency analyses, Try Evidano for free.