Humanities Data and Mapping Environments
This spatial humanities workshop will introduce participants to different ways of thinking about humanities data, their curation within projects and their use in digital mapping environments. The workshop will not be a traditional course in Geographic Information Systems (GIS), although we will use some of the functionality of open source GIS along the way. The workshop is designed for the total beginner who would like to explore how a spatial dimension can enrich humanities and interdisciplinary research projects and who would like to learn some basic skills for collecting and organizing data in order to be able to integrate such methods into their research workflows.
The workshop lasts a total of 36 hours, two weeks of 18 contact hours each.
The central goals of the workshop are fourfold:
- to learn where we can obtain spatial data relevant to our research interests, or capture data from analog sources through digitization,
- to explore how data spatial data can be modeled for our projects,
- to practice different ways that we can tell a story by visualizing spatial data, and
- to learn ways that we can disseminate and share that data.
In the first part of the course we conduct a critical review of a range of projects in the spatial humanities: their scope and the rhetorical strategies they employ for spatial storytelling and argument. We will begin by reflecting on how location-based research might be incorporated into research projects in different disciplines (cinema, art history, anthropology, history, literature, etc) as well as the challenges of such a spatial dimension in research. We will begin to learn about the creation of data in relevant formats for spatial humanities projects (using gazetteers, mobile data collection, off the shelf software) and learn some basic coding skills in order to perform repetitive tasks for building a spatial dataset (with Python, OpenRefine, Edinburgh Geoparser and TopoText, for example). Students will be introduced to normalization and wrangling techniques and will contrast the manual, slow creation of data with more automated forms.
In the second part of the course, we will learn some skills in web development so that we can do some basic web mapping. We will experiment with web scraping and other automated workflows and will turn to more complex forms of map visualization. Open source GIS software will be used to learn about georeferencing / warping and the creation of historical vector / polygon data from digitized historical maps. Depending on the time available, we will explore the sharing of specialized humanities spatial data in repositories and gazetteers, their design and their theoretical underpinnings.
Participants of the workshop will have the opportunity to present and design individual projects. We will also work collectively over the two weeks to build a small set of historical research materials of relevance to the group(For example, we have many historical representations of the Middle East and Arabia at our disposal, in particular open access materials, including 7000+ maps from the Qatar Digital Library, or from any of the numerous digital map libraries about other parts of the world.)
A list of supplementary readings will be provided by the instructor.
2022
2021
2020
2019
2018
- Schedule
- Workshops
- XML-TEI document encoding, structuring, rendering and transformation
- Hands on Humanities Data Workshop - Creation, Discovery and Analysis
- Collocations from a multilingual perspective: theory, tools, and applications
- Reflected Text Analysis in the Digital Humanities
- Humanities Data and Mapping Environments
- Building and analysing multimodal corpora
- Stylometry
- Asking questions to data in the humanities: right, correct, efficient (Introducing and comparing XQuery, SQL, SPARQL for data from the humanities)
- Computer Vision Intervention. How digital methods help to visually understand corpora of art and cultural heritage
- Integrating Human Science Data using CIDOC-CRM as Formal Ontology: a practical approach
- The humanities scholar's perspective on rule based machine translation
- Word Vectors and Corpus Text Mining with Python
- Text Mining with Canonical Text Services
- How Research Infrastructures empower eHumanities and eHeritage Research(ers)
- Introduction to Project Management
- Lectures (public)
- Projects (public)
- Posters (public)
- Panel discussion (public)
- Teasers (public)
- Cultural Programme
- Experts
- Lecturers
- Scientific Committee
- Important dates
- Application
- Scholarships
- Fees
- Refund policy
- T-Shirt
- The logo riddle
- Child Care