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DTSTART:20251007T000000
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DTSTART:20251026T030000
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DTSTART:20260329T030000
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SUMMARY:Data That Travels: Cross-Domain Insights from our Open Source Jour
 ney in Education - Caitlin Augustin\, Dave Parry\, Larry Kilroy
DTSTART;TZID=Europe/Luxembourg:20261007T113000
DTEND;TZID=Europe/Luxembourg:20261007T120000
DTSTAMP:20260916T163942Z
UID:pretalx-open-source-conference-luxembourg-2026-ADJZEC@pretalx.com
DESCRIPTION:Higher education runs on sprawling edtech stacks built on prop
 rietary\, opaque data models — fragmentation that deepens vendor lock-in
 \, drives up costs\, and blocks institutions from building the trustworthy
 \, AI-ready tools their students need.\n\nAt DataKind\, we've spent years 
 building the alternative: open source infrastructure and products now used
  by 100+ broad-access institutions serving over 1 million students. This t
 alk shares how we use Apache Spark\, Apache Airflow\, and Apache ECharts t
 o power two freely available\, open core education products designed to su
 pport student graduation success.\n\nEducation is where this panel starts
 \, but not where it ends. Our work in education has sharpened our view on 
 an open source data infrastructure approach — one that turns fragmented 
 institutional data into a reusable foundation that can unlock impact acros
 s student success support\, institutional technology transformation\, and 
 sector AI innovation.\n\nWe will share our work on a deployable open data 
 model and associated infrastructure for staging\, mapping\, transformation
 \, and access\, built around four pillars of trust (modular pipelines for 
 institutional autonomy\, public versioned code\, standardized data diction
 aries\, and schema lineage tracking) and discuss practical challenges — 
 including data quality\, system interoperability\, and explainability — 
 to translate open infrastructure into tools that non-technical teams can a
 ctually use.\n\nAttendees will leave with access to open source public-goo
 d infrastructure for student success\; frameworks for evaluating shared da
 ta models and AI-ready infrastructure\; practical approaches to institutio
 nal deployment\; and opportunities to join a community building an interop
 erable foundation on which an ecosystem — not a single organization — 
 can innovate.
LOCATION:Academia and EdTech
URL:https://pretalx.com/open-source-conference-luxembourg-2026/talk/ADJZEC
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