Schedule
17 August – 30 August, 2016. European University at St. Petersburg
Day 1, August 17

10:00 – 12:00 Introduction of participants and experts. Welcoming remarks by Oleg Kharkhordin, rector (EUSP). Framing of the summer school and STS context (Diana Kurkovsky West, Vincent Lepinay). Conference Hall
12:00 – 13:00 Presentation of data to be used for the school (Lev Manovich, Damiano Cerrone, Jean-Philippe Cointet). Conference Hall
13:00 – 14:30 Lunch break
14:30 – 16:30 Lecture by Dr. Lev Manovich (Professor of Computer Science and Digital Humanities, The Graduate Center, City University of New York (CUNY); Director, Software Studies Lab). Cultural Analytics: research paradigms, examples of projects, and new possibilities. Conference Hall

Lev Manovich: I have defined the concept of "cultural analytics" in 2007. Since years years later, tens of thousands of researchers have already published hundreds of thousands of papers analyzing patterns in massive cultural datasets. First of all, this is data describing the activity on most popular social networks (VK, Weibo, Instagram, YouTube, Twitter, etc.), user created content shared on these networks (tweets, images, video, etc.), and also users' interactions with this content (likes, favorites, shares, comments). Second, researchers also have started to analyze particular professional cultural areas and historical periods, such as website design, fashion photography, 20th–century popular music, 19th–century literature, etc. This work is carried out in number of fields: Computational Social Science, Digital Humanities, and Computer Science. Together, they represent different approaches to Cultural Analytics.

What does it mean to represent cultures by data? What are the unique possibilities offered by computational analysis of large cultural data in contrast to qualitative methods used in humanities and social science? How to use quantitative techniques to study the key cultural form of our era – interactive media? How can we combine computational analysis and visualization of large cultural data with qualitative methods, including "close reading"? (In other words, how to combine analysis of larger patterns with the analysis of individual artifacts and their details?) How can computational analysis map full variability and diversity of cultural artifacts and processes, rather than focusing on the "typical" and "most popular"?


16:30 – 17:00 Coffee break. Room 8, ground floor
17:00 – 18:00 Presentation by Olga Sezneva on the city of St. Petersburg. Conference Hall
Day 2, August 18

10:00 – 12:00 Lecture by Damiano Cerrone. Urban meta-morphology. Hacking the invisibile image of the city. Conference Hall
12:00 – 12:30 Coffee break. Room 8, ground floor
12:30 – 14:30 Presentation by Jean-Philippe Cointet on heterogeneous networks analysis. Conference Hall
14:30 – 16:00 Lunch break
16:00 – 18:00 Brainstorming on projects - projects groups are formed. Conference Hall
18:15 – 19:30 Lecture by Dr. Lev Manovich. Computational Analysis and Visualization of Large Image Collections. Conference Hall

Lev Manovich: In this lecture I will cover the following: 1) A few core concepts from digital image processing and computer vision; 2) a demo showing extracting features from an image set; 2) a demo showing visualization techniques for image datasets; 3) Examples of visualizations of image and video datasets from our lab and other designers and researchers; 4) Use of popular methods from data science for analysis and visualization of big image data.


Day 3, August 19

10:00 – 12:00 Demos I. Conference Hall, Room 412, Room 414
3 groups, each group spends two 2 hours session with one expert:
Damiano Cerrone, Mapping cities in the 21st century: GIS, Instagram and a Pinterest board of ideas;
Jean-Philippe Cointet;
Donato Ricci.
12:00 – 12:30 Coffee break. Room 8, ground floor
12:30 – 14:30 Demos II. Conference Hall, Room 412, Room 414
14:30 – 16:00 Lunch break
16:00 – 17:00 Demos III. Conference Hall, Room 412, Room 414
17:30 – 19:00 Presentation by Ilya Utekhin on anthropology and the city. Conference Hall


Day 4, August 20

10:00 – 12:00 Presentation by Diana Kurkovsky West and Vincent Lepinay on Mapping Controversies with images. Conference Hall
12:00 – 12:30 Coffee break. Room 8, ground floor
12:30 – 14:30 Brainstorming on projects. Conference Hall
14:30 – 16:00 Lunch break
16:00 – 19:00 Public presentation/discussion of project ideas. Conference Hall

Day 5

Break.

Data processing.
Days 6 – 12

Groups work with the help of the experts (on call).

Every other day groups present their findings during a 2 hours session (4 groups a day and each group has 30 minutes).

Wireframes and visualizations are drafted.

Days 13 – 14

Wrap up of analyzes.

Presentations.
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