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BEGIN:VEVENT
UID:c74ab33bf37576c87b05984cce0051fe
CATEGORIES:Polar Conferences, Meetings and Events
CREATED:20230629T091154
SUMMARY:4D-Modeller Spatio-Temporal Modeling Hackathon in Svalbard
LOCATION:Oslo\, Norway
DESCRIPTION:Join the 4D-Modeller Spatio-Temporal Modeling Hackathon in Svalbard!  Be pa
 rt of our two-day hackathon, where you will use the 4D-Modeller (fdmr) pack
 age to solve the spatio-temporal problems of Svalbard! fdmr tackles spatio-
 temporal problems at all scales, from local to global, and has already been
  successfully applied to diverse areas such as COVID-19 transmission, hydro
 power generation, and global sea-level rise. Harnessing Bayesian Hierarchic
 al Models, fdmr offers probabilistic inference and scales efficiently for b
 ig data challenges. With user-friendly tutorial vignettes, you don't need t
 o be a statistics expert to leverage its power. Join our hackathon to contr
 ibute directly to the development of fdmr and address research questions sp
 ecific to Svalbard. Embracing Tutorial Driven Software Development, our app
 roach ensures features align with users' needs. Work closely with the fdmr 
 development team to create tutorials and implement new features. The hackat
 hon will be held in November 2023 (coinciding with the Svalbard Science For
 um meeting) and a second hackathon will occur in Spring 2024. Don't miss th
 is opportunity to shape the future of spatio-temporal modeling. Limited spo
 ts available. Register now and revolutionize research in Svalbard with fdmr
 !  Date: November 2-3, 2023 (coinciding with the Svalbard Science Forum mee
 ting) Location: Oslo, Norway  Domain Focus: Climate science, hydrology, gla
 ciology Outcome: Development of tutorials and features for FDMR Participant
 s: 20 participants
X-ALT-DESC;FMTTYPE=text/html:<div dir="auto">Join the 4D-Modeller Spatio-Temporal Modeling Hackathon in 
 Svalbard!&nbsp;</div><div dir="auto">&nbsp;</div><div dir="auto">Be part of
  our two-day hackathon, where you will use the 4D-Modeller (fdmr) package t
 o solve the spatio-temporal problems of Svalbard! fdmr tackles spatio-tempo
 ral problems at all scales, from local to global, and has already been succ
 essfully applied to diverse areas such as COVID-19 transmission, hydropower
  generation, and global sea-level rise.</div><div dir="auto">&nbsp;</div><d
 iv dir="auto">Harnessing Bayesian Hierarchical Models, fdmr offers probabil
 istic inference and scales efficiently for big data challenges. With user-f
 riendly tutorial vignettes, you don't need to be a statistics expert to lev
 erage its power. Join our hackathon to contribute directly to the developme
 nt of fdmr and address research questions specific to Svalbard.</div><div d
 ir="auto">&nbsp;</div><div dir="auto">Embracing Tutorial Driven Software De
 velopment, our approach ensures features align with users' needs. Work clos
 ely with the fdmr development team to create tutorials and implement new fe
 atures. The hackathon will be held in November 2023 (coinciding with the Sv
 albard Science Forum meeting) and a second hackathon will occur in Spring 2
 024.</div><div dir="auto">&nbsp;</div><div dir="auto">Don't miss this oppor
 tunity to shape the future of spatio-temporal modeling. Limited spots avail
 able. Register now and revolutionize research in Svalbard with fdmr!</div><
 div dir="auto">&nbsp;</div><div dir="auto">&nbsp;Date: November 2-3, 2023 (
 coinciding with the Svalbard Science Forum meeting)</div><div dir="auto">&n
 bsp;Location: Oslo, Norway&nbsp;</div><div dir="auto">&nbsp;Domain Focus: C
 limate science, hydrology, glaciology</div><div dir="auto">&nbsp;Outcome: D
 evelopment of tutorials and features for FDMR</div><div dir="auto">&nbsp;Pa
 rticipants: 20 participants</div>
X-EXTRAINFO:https://4dmodeller.github.io/4DM_Hackathon/
DTSTAMP:20260404T061405Z
DTSTART;TZID=UTC;VALUE=DATE:20231102
DTEND;TZID=UTC;VALUE=DATE:20231104
SEQUENCE:0
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