DRESSED
The Widespread Role
of Clothes. Textile Production
and Clothing Concepts in Society
Interweaving Perspectives
Helena Loermans
Research and reconstructions of historic canvases. How to structure
data and weave drafts?
The peer-review process has come to a close. We are pleased to inform you that your proposal has been accepted for Track 2 — Pattern Recognition: Structuring data methodically. We would be happy to host your talk on Thursday the 23th of June.
Track 2 — Pattern Recognition: Structuring data methodically
Even though it does not strike us at first glance due to clothing’s artistic expression: producing clothes is solved by converting creative ideas into a mathematical concept and applying it to a specific problem. It is a complex task that almost always includes an impressive fusion of diverse skills, elaborate strategies and creative thoughts. Consequently, a vast amount of wide-ranging information is archived in the material culture and other relevant sources related to the many functions of clothing and clothing production. However, carefully and systematically extracting those data from the sources is just the beginning.
How can we structure the collected data to gain those interesting hidden insights that go far beyond an individual object or a specific group of sources? How can we achieve methodological and systematical standards and intelligently interlink our data so that the collected information is best possibly comparable, reasonable and in its structure adaptable and expandable? How can we analyse, understand, communicate and exchange relevant information?
Track 2 aims to explore how to structure and interlink data efficiently and, by doing so, to learn how to problem-solve, think creatively, and ask meaningful questions. Furthermore, it intends to discuss how to wire data and our thoughts by extension. Track 2 welcomes all aspects of data structuring, machine learning, and methodological approaches in this field. Relevant topics include, but are not limited to:
- Structuring Data-Sets: The Challenges of Data Digitalization
- Digital Metrics and Evaluation Tools: Analysing, Systemizing and Sharing Data
- Data Cultures in Dress and Textile Research
- Decoding Archived Knowledge: An Interdisciplinary Dialogue
- Practice: Defining Quality Standards and Understanding the Big Picture
- The Future of our Collective Memory: Data and Data Science