The IOM report elaborates on operational implications and outlines where digital trace data can strengthen early-stage monitoring:
publications.iom.int/books/dynami...
DTM summary: dtm.iom.int/updates/new-...

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Performance varies substantially with market coverage, crisis conditions, and the behavioural responses of affected populations. These constraints make representativeness a methodological as well as an ethical question — a direct link to our DEBIAS work.
de-bias.github.io/debias/

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This produced a policy-driven, multi-source framework: mobile traces supply temporal sensitivity; DTM assessments introduce contextual grounding; and census denominators anchor scale. The framework is designed to complement existing systems rather than replace them.

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The central idea is not to treat mobile phone data as a standalone proxy, but to examine how its mobility signatures behave when triangulated with @iom.int’s Displacement Tracking Matrix assessments and official population baselines.

We have an amazing line-up of authors contributing to the new digital (computational) CATMOGs. First up is

Serge Rey: doi.org/10.18335/reg...

Coming soon are Levi's (@levijohnwolf.bsky.social), Carmen's (@carmen-cabrera.bsky.social) and more!

CATMOG is a classic series of guides that introduce key concepts and techniques in modern quantitative geography. Here is the original series which documents methodological advances the mid-1970s upto the early 1990s qmrg.github.io/CATMOG/