30 August 2016
Digital Traces I: Meta-Morphologies of St. Petersburg
This workshop explores the landscape of the invisible city, using digital traces to unveil, measure and study the meta-morphology of the city. Participants will learn the basics of digital mapping and analysis using open source and social media data. They will a use large dataset of location-based social media from Instagram and open source GIS software. They will also physically observe selected locations and compare their findings with the patterns revealed by analysis of Instagram images.
Summer school will combine lectures by participating faculty and a practical hands-on lab directed by Lev Manovich and Damiano Cerrone.
PARTICIPANTS WILL LEARN:
- How to combine newer data science techniques and more established qualitative and quantitative social science methods
- Innovative methods to survey public space and study spatio-temporal urban patterns
- How to organise, map, analyze and visualize geolocated social media data using QGIS (leading open source GIS software)
- New visualization techniques for exploring massive image collections
- How computer vision methods can be used to analyze content of social media images
- How to collaborate on research projects in interdisciplinary teams
Lev Manovich (The Graduate Center, City University of New York), Damiano Cerrone (Director, SPIN Unit)
- Graduate students or people who already have graduate degrees in social sciences, humanities, design, architecture, urban studies or computer science
- Representatives from non-profit organizations and other professionals interested to learn methods and concepts for analyzing digital traces of social and cultural activity in cities and urban institutions (museums, libraries, etc.)
- Students from other fields who want to use such methods in their research.
No prior experience with computational methods or GIS is necessary. Participants with more experience in either of these areas will be introduced to more advanced techniques during the lab.
Students will create large sets of maps and diagrams that explore social, cultural, temporal and spatial patterns in the city using Instagram data, their direct observations in various city locations and other sources. They will also create a short report explaining their findings and strategies.
EUR 450: The participants must cover their own transportation, visa, and accommodation costs. Support for visa invitations will be offered by the European University at St. Petersburg.