Course Details

Course Name
Summer School of Computational Humanities
Course Type
Summer School
Institution
Universität Heidelberg
Department
Computational Linguistics, English Linguistics
Information
https://hch19.cl.uni-heidelberg.de
Curriculum
-
Status
record actively maintained
Course Language
English
Start Date
2019-07-15
ECTS
-
Lecturer
PID
Disciplines: Archaeology, Arts and Cultural Studies, Computer Science, History, Linguistics and Language Studies, Literary and Philological Studies, Musicology, Social Sciences, Theory and Methodology of DH
Techniques: Cluster Analysis, Collocation Analysis, Concordancing, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Pattern Recognition, POS-Tagging, Principal Component Analysis, Searching, Sentiment Analysis, Topic Modeling, Web Crawling, Text Mining
Objects: Artifacts, DigitalHumanities, Data, Language, Literature, Multimodal, Projects, Research, ResearchProcess, Text, Tools, Video, Visualization, Speech
Access Requirements
Application Deadline extended until Jan 30, 2019! Please provide: proof of enrolment in a PhD program at time of registration; Short CV (max. 1.5 pages); Statement of interest with an outline of your doctoral research project, your motivation for participating in the Summer School and indication of your previous experience with computational methods (2 pages); Abstract of a project to be presented in the poster session (including the project's purpose, key research questions, data and methods). The abstract will be included in the online book of abstracts; One supporting academic reference outlining academic merits and suitability for the Summer School (max. 1.5 pages)
Description
The Summer School offers integrated lectures and workshops in the following four key areas: 1) Methodologies of Computational Humanities: Mixed Methods in the Making 2) Computational Humanities in the Social Sphere 3) Computational Humanities in the Cultural Sphere 4) Computational Literary Analysis This five-day event will offer PhD candidates cutting-edge research presentations and hands-on workshops on mixed-method approaches in Computational Humanities. A poster session gives young researchers the opportunity to present their own work and receive feedback from peers and experts in the field.
Keywords
Disciplines: Archaeology, Arts and Cultural Studies, Computer Science, History, Linguistics and Language Studies, Literary and Philological Studies, Musicology, Social Sciences, Theory and Methodology of DH
Techniques: Cluster Analysis, Collocation Analysis, Concordancing, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Pattern Recognition, POS-Tagging, Principal Component Analysis, Searching, Sentiment Analysis, Topic Modeling, Web Crawling, Text Mining
Objects: Artifacts, DigitalHumanities, Data, Language, Literature, Multimodal, Projects, Research, ResearchProcess, Text, Tools, Video, Visualization, Speech