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UID:pretalx-pidfest-26-2026-BXSPC3@pretalx.surf.nl
DTSTART;TZID=CET:20261028T141500
DTEND;TZID=CET:20261028T151500
DESCRIPTION:Effective disaster detection and response depends on integratin
 g heterogeneous signals across meteorological\, geospatial\, epidemiologic
 al\, infrastructure\, and community domains\, yet these systems remain sil
 oed\, lacking a persistent\, machine-actionable way to navigate the relati
 onships among them. This workshop explores how persistent identifiers (PID
 s) and a connected PID graph can serve as the connective tissue for a comp
 lex adaptive disaster management system. Drawing on the CADEM framework's 
 emphasis on non-linear\, multi-actor\, feedback-driven response\, and on F
 akhruddin's work on FAIR data policy for disaster risk\, we ask: what woul
 d it take to make cross-domain disaster data not just FAIR\, but actionabl
 e at speed? Applying CODATA's Cross-Domain Interoperability Framework (CDI
 F)\, participants will work collaboratively to map PID requirements across
  disaster management phases\, identify the governance and technical barrie
 rs to a functional DRR PID graph\, and propose a practical implementation 
 roadmap aligned with the Sendai Framework.
DTSTAMP:20260727T234521Z
LOCATION:LUMC06
SUMMARY:Wiring the Warning:  Building a cross-domain PID graph for disaster
  risk reduction - Lauren Maxwell
URL:https://pretalx.surf.nl/pidfest-26-2026/talk/BXSPC3/
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