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DTSTART:20230217T180000Z
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SUMMARY:Love Data Week Student Showcase
DESCRIPTION:Discover the amazing data work McGill students are doing! This 
 panel will feature: \n\nSil Hamilton - Parallel Worlds: How To Generate 
 Useful Data with AI\n\nCreative AI models like ChatGPT or Dall-E are 
 becoming increasingly capable\, but ways to integrate them into your 
 empirical research process remain unclear. Discover a methodology for those 
 in the humanities and the social sciences: generating synthetic datasets 
 for comparative purposes. This session will report on a published project 
 in which we use AI to evaluate editorial framing in the news media\, and 
 reflect on how AI made our approach possible.\n\nHeather Rogers - 
 Digitizing Botanical Herstory: The Botanical Collections of Dr. Dorothy 
 Swales\n\nThis project features the botanical collections of Dr. Dorothy 
 Swales\, the first woman to curate the Macdonald College (later McGill 
 University) Herbarium. Dr. Swales’ life was inseparable from the natural 
 world and telling her story as a trailblazing woman in botanical curation 
 necessitates weaving in the lives of the mosses\, lichens\, and flowering 
 plants that she dedicated her career to better understanding and 
 preserving. The technological aspect of my research incorporates digitizing 
 botanical vouchers from Dr. Swales’ tenure as curator\, culminating in a 
 digital exhibit using Omeka. An overarching objective of this project is to 
 contribute to the growing field of Digital Environmental Humanities by 
 demonstrating how digital tools can tell nuanced\, interwoven stories about 
 human-plant entanglements.\n\nAlexander Springer - A GIS Approach to a 
 History of Epidemics in 19th Century India\n\nAn exploration of the 
 digitised medical reports on disease in India and the significant 
 challenges in finding data\, interpreting it and then presenting it on GIS 
 and in spreadsheets.\n\nJonathan Love - NLP Scene and Short Story 
 Collection Detection\n\nCan we build an AI tool that can automatically 
 detect if an input text is a singular story or a collection of short 
 stories? This presentation will showshow how by transforming character 
 counts into signals and then using signal processing algorithms\, one can 
 naturally divide up an input text into segments. Then\, all that is left is 
 to build a classifier and train it based on how each text was divided 
 up.\n\n \n\n
ORGANIZER;CN="Marcela Isuster":MAILTO:marcela.isuster@mcgill.ca
CATEGORIES:Library event
CONTACT;CN="Marcela Isuster":MAILTO:marcela.isuster@mcgill.ca
STATUS:CONFIRMED
UID:LibCal-3715256
URL:https://libraryrooms.mcgill.ca/event/3715256
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