BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:­WiNoDa x DiSSCo Online Hackathon: Advancing Specimen Data
DTSTART:20261014T070000Z
DTEND:20261015T120000Z
DTSTAMP:20261016T140700Z
UID:indico-event-202@events.gfbio.org
CONTACT:winoda@gfbio.org
DESCRIPTION:DiSSCo x WiNoDa Hackathon 2026: on machine annotation service
 s (MAS)\nWhen: 14 - 15 October (Hackathon)\; 14 September (Kick-Off) 3.00
 –5.00 pmWhere: onlineCredit: no creditsCharges: no chargesLanguage: Engl
 ish\nOrganisation:\n\nThe hackathon is jointly organised by the German Fed
 eration for Biological Data (GFBio) and the Naturalis Biodiversity Center.
 \nGFBio is a leading initiative for biological data management operating a
 cross Germany and serves as a core partner of the WiNoDa Knowledge Lab (Da
 ta Science in Natural History Collections).\nNaturalis Biodiversity Center
 \, located in Leiden\, The Netherlands\, is a world-class research institu
 te and natural history museum dedicated to documenting global biodiversity
 . Naturalis leads the development of the core data infrastructure for DiSS
 Co (Distributed System of Scientific Collections)\, which creates digital 
 proxies of specimens in natural history collections known as Digital Speci
 mens.\n\nTarget Group:\n\nSoftware engineers\, data scientists and people 
 who work with object-based scientific collection data and are interested i
 n developing and connecting Machine Annotation Services (MAS) directly to 
 the DiSSCo infrastructure.\n\nDescription:\n\nWorking in small teams\, you
  will learn how to develop and connect Machine Annotation Services (MAS) d
 irectly to the DiSSCo infrastructure. These automated services act on Digi
 tal Specimens to provide critical data quality assessments\, error correct
 ions\, or links to derived scientific data (such as gene sequences). You c
 an work with specimen data provided by the platform or bring your own data
 sets (which must be integrated into the infrastructure prior to the event)
 .\nOur experts will be on hand to provide both technical and conceptual su
 pport.\nFor this Hackathon we specifically encourage MAS applications that
  do ground work for other MAS services by annotating image quality and imp
 roving AI readiness. Potential MAS applications include\, but are not limi
 ted to:\n \n\n\n\n\nROI Segmentation: Automatically identifying and isola
 ting areas in an image containing labels\, stamps\, organisms\, mounting m
 aterials\, rulers\, or color bars.\n\n\nAI-Readiness & Image Quality Audit
 ing: Evaluating image clarity (blur detection)\, lighting uniformity\, and
  the orientation or display state of the organism.\n\n\nSpecimen Condition
  Analysis: Detecting physical damage\, fragmentation\, or signs of pest in
 festation on physical objects.\n\n\nTechnical Metadata Enrichment: Extract
 ing and validating extended metadata\, such as color spaces\, compression 
 levels\, resolution\, and ruler to pixel calculation.\n\n\nHistorical & Co
 ntextual Analysis: Identifying collectors and curators based on handwritin
 g recognition or identifying languages on labels.\n\n\n\n \nThe data will
  be processed in accordance to the Privacy Policy of the German Federation
  for Biological Data (GFBio). The detailed version can be found here: htt
 ps://www.gfbio.org/privacy-policy.\nFeel free to contact winoda@gfbio.org 
 if you have specific inquiries. \nPlease fill in the questionnaire\; it w
 ill help us to organise the event more effectively.\n\nhttps://events.gfbi
 o.org/event/202/
URL:https://events.gfbio.org/event/202/
END:VEVENT
END:VCALENDAR