[Announcements] 8th International ARDUOUS workshop

[Stoev, Teodor]

8th International ARDUOUS (Annotation of useR Data for UbiquitOUs
Systems) workshop
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Paper Submission: May 26, 2024
Notification: June 24, 2024
Camera ready version: June 30, 2024
Workshop: September 24, 2024 in Wiesbaden, Germany
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Dear researchers,
 
On behalf of the 8th International Workshop on Annotation of useR Data
for UbiquitOUs Systems, 
we would like to invite you to submit your contributions of
full-length or short-length papers, positional papers, 
and industry papers by the 26th of May via EasyChair for the ARDUOUS
edition that is scheduled to take place at the INFORMATIK Festival
2024 (25.09 - 26.09) in Wiesbaden, Germany. 
The workshop will be held in hybrid form.
This year's topics of interest include: 
 
- experiences in the development, validation, and sharing of data
annotation protocols, both in academia and in the industry
- ensuring compliance with GDPR (DSGVO) and AI EU Act when annotating
data
- human-centered and human-in-the-loop approaches to designing and
deploying AI systems
- characterizing forms of annotation appropriate for specific sectors
– for example, digital health, logistics, text mining for the
digital humanities
- Low-resource annotation workflows
- Annotation metrics: inter-indexer consistency, similarity, bias, and
subjectivity
 
Further general annotation-related topics include but are not limited
to:
- methods and intelligent tools for annotating data
- methods for standardization and normalization in annotation
practices
- influence of interface on annotation
- processes of and best practices in annotating data
- methods towards automation of the annotation process
- improving and evaluating the quality of annotations
- beyond the labels: ontologies for semantic annotation of user
data             
- high-quality and re-usable annotation for publicly available
datasets
- impact of annotation on a system’s performance
- building classifier models that are capable of dealing with multiple
(noisy) annotations and/or making use of taxonomies/ontologies
- the potential value of incorporating modeling of the annotators into
predictive models
- evaluating the efficacy of transfer learning via existing annotated
datasets
- handling semantic and temporal shift and drift in the applications
of annotated datasets
 
For more information, please refer to our website: https://arduous.eu/
 
Thank you for considering our invitation. We are looking forward to
hearing from you!
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