The course has a double orientation: theoretical exchange and critical discussions will be combined with practical sessions (lab-based sessions) through which participants will work collaboratively in common projects.
29th July – 3rd August, 2019.
The course is organized around FOUR TRACKS.
Track A: Data and the Arts
Track B: Data Analysis
Experience in data analysis is essential for a data-oriented Art History. Data analysis and visualization also serves to publish research to broad audiences and to engage the public with museums’ collections. In this track, led by Harald Klinke (LMU Munich), we will look into open data sources, learn the fundamentals of data analysis in R and go into practice by preparing data and images for a working twitter bot. No prior knowledge is necessary. Please, bring your own laptop.
Track C: 3D Modeling
This track, lead by Justin Underhill (UCB), will explore interactive media using the Unity game engine. We will experiment with different ways of exploring virtual space, and will see how we might use augmented and virtual reality to practice Digital Art History. We will also ask ourselves how to best design visualizations and historical reconstructions for these environments.
Track D: Computer Vision
Track D, lead by Leonardo Impett (Bibliotheca Hertziana), will investigate applications of computer vision to questions in the history of art – and more generally in visual studies. Images are what distinguishes digital art history from ‘digital humanities on art history’, and we will look at the long history of the computer analysis of images from the late 1980s to today. We’ll learn to use some basic image processing tools (scikit-image) and more sophisticated computer vision algorithms (tensorflow) to search within, organize, or learn about big sets of images. With millions of images digitised from Bildindex, Wikimedia, and Pharos (including the Bibliotheca Hertziana), we will build systems that deal with genuinely big image datasets (>10,000). If you have digital images from your own work/research, please bring them!