Category Archives: DHSITE2018

DHSITE 3311-C00. 3D Selfie: Intro to Digital Sculpture

This workshop explores intersections between the enduring artistic motif of the self-portrait and new technologies. Students will learn how to digitally replicate their own faces and then print the final product in 3D. The workshop will offer a comprehensive introduction to 3D scanning, mesh-molding and 3D printing. Although oriented around the human figure, the workshop offers capabilities that go beyond

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DHSITE 3711-D00. Introduction à la ludologie | Introduction to Game Studies

Le jeu vidéo se retrouve depuis près de deux décennies au centre d’un champ d’étude interdisciplinaire dynamique, la ludologie, autrement connue sous son nom anglais de « games studies ».  Cet atelier invite les participants à s’initier au sujet par le biais d’une perspective historique, c’est-à-dire en faisant le survol double de l’histoire du jeu vidéo et de l’histoire dans

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DHSITE 3311-E00. Mapping and Spatial Methods for the Humanities

Most things happen somewhere, and mapping can be an effective technique for exploring, analysing, and presenting many types of data. This interactive workshop is designed for researchers who are interested in adding a spatial dimension to their research. In this 10-hour workshop, participants will be introduced to Geographic Information Systems (GIS) techniques from a humanist’s perspective. Starting from primary sources,

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DHSITE 3311-F00. Social Media Analysis

What does one’s lively presence in social media tell everybody else? Besides the latest updates on one’s travels, meals, and academic publications, social media offer a wealth of ‘unhealthy’ issues, such as  cyberbullying or depression. Can we solve those problems with specific intervention? This is an introduction to the methods and practices of online text analysis (natural language processing) for

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DHSITE 3311-G00. Introduction to Deep Learning

Intelligent species are capable of doing magnificent things mainly due to their Central Nervous System (CNS). The CNS is responsible for the low-level and high-level processing of information available in its surroundings. (Artificial) Neural Networks (ANNs) are an effort to replicate, in a machine, the type of processing the CNS carries out, and Deep (Artificial) Neural Networks (DNNs) achieve so by capturing complex

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Constance Crompton

Constance Crompton is an Assistant Professor in the Department of Communication at the University of Ottawa. She serves as an associate director of the Digital Humanities Summer Institute and as vice-president (English) of the Canadian Society for Digital Humanities / Société canadienne des humanités numériques. Course taught at DHSITE2018: Introduction to Text Encoding

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Chris Tanasescu

Chris Tanasescu is Coordinator of Digital Humanities Resources with University of Ottawa’s Faculty of Arts and an Adjunct Professor in the University of Ottawa’s Department of Computer Science. He specializes in digital literary studies and computational literary analysis and was principal investigator on a SSHRC-funded project on Poetry Computational Graphs. He has expertise in machine learning, data science, corpora development,

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André Vellino

André Vellino is an associate professor in Information Studies at the University of Ottawa and an adjunct research professor at the Institute of Cognitive Science at Carleton University. His research interests include recommender systems for digital libraries, the automatic inference of metadata schemas for scientific research datasets and the cognitive science aspects of automated reasoning systems. Course taught at DHSITE2018:

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Justine Boudreau

Justine completed her mechanical engineering degree at uOttawa and is now working on an Electronic Business Technologies Masters. During the last three years she has spent her time playing with new tech and diversifying her knowledge. She spent almost 2 years working with the Maker Mobile delivering workshops and integrating new curriculum for robotics and women in science and engineering.

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