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UID:pretalx-spathum24-FYVZZG@pretalx.com
DTSTART;TZID=CET:20240925T090000
DTEND;TZID=CET:20240925T120000
DESCRIPTION:MapReader is a software library that was designed for humanitie
 s research with big digitised map collections. The winner of the 2023 Roy 
 Rosenzweig Prize for Innovation in Digital History from the American Histo
 rical Association\, MapReader was developed first within the Living with M
 achines project\, but was created with a wider community of historians in 
 mind as future users.  Learn more about MapReader at https://github.com/ma
 ps-as-data/MapReader.\n\nMapReader performs two tasks. \n1. Patch classifi
 cation allows users to identify concepts of visual interest on maps\, and 
 then to define queries for predicting whether those concepts are present  
 on hundreds or thousands of individual sheets. The power of this approach 
 is its flexibility for any number of spatially-driven research questions.\
 n2. Text spotting makes it possible to create a structured dataset of all 
 text on a map image. MapReader implements models made available during the
  2024 MapText competition (Chazalon\, Joseph. “ICDAR 2024 Competition on
  Historical Map Text Detection\, Recognition\, and Linking”. Presented a
 t the International Conference on Document Analysis and Recognition (ICDAR
 )\, Athens\, Greece\, September 4\, 2024. https://doi.org/10.5281/zenodo.1
 3628614.)\n\nThis workshop aims to bring together historians and others wi
 th an interest in using digitised historical map collections as primary so
 urces for digitally-inflected research. By bringing together peers working
  in this space\, we aim to learn about and discuss ways to encourage open 
 research in the humanities through skill development and shared digital re
 sources and infrastructure. \n\nDuring the workshop\, participants will:\n
 - Learn about the research and theoretical motivations behind MapReader\, 
 and how it fits in a growing ecosystem of computer vision tools for humani
 ties research\n- Test a demo of MapReader with sample data\n- Learn the ba
 sics of computer vision and machine learning as applied to computational m
 aps research\n- Discuss how to apply MapReader to your own map collections
 \n- Reflect on the opportunities for using “automatic” methods for ana
 lysing maps in humanistic research
DTSTAMP:20260412T232952Z
LOCATION:MG2 01.10
SUMMARY:MapReader Workshop: Using Machine Learning to Analyze Large Collect
 ions of Digitized Maps - Katherine McDonough\, Rosie Wood\, Kalle Westerli
 ng
URL:https://pretalx.com/spathum24/talk/FYVZZG/
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