Sunt multe motive, multe cauze demne de a face analize peste analize…Nu avem bani, traim in Romania, nu vrem, nu putem sau pur si simplu suntem batuti in cap (sigur, am redus paleta chestiilor argumentative).
Eu voi da cateva exemple de ce cursuri fac astia prin SUA…unul dintre ei este Lev Manovich, autorul atat de citat de mine prin ultimele lucrari…e bun tipul 🙂
Big Data, Visualization, and Digital Humanities
CUNY (City University of New York) Graduate Center, 365 5th Avenue, New York City.
Instructor: Lev Manovich
Course numbers: IDS 81650 / MALS 78500
Format: graduate seminar open to PhD and MA students
Want to visit the course and sit in on particular meetings?
It is possible but please email me first [manovich dot lev at gmail dot com].
Classes meet on Mondays, 2pm-4pm. Room: 3309.
First class meeting: Monday, January 28.
CUNY Graduate Center 2012-2013 academic calendar
Schedule, lectures, readings, tutorials, resources (will be updated during the semester).
Use the #digitalgc hashtag on twitter and blog posts.
Graduate Center Digital Initiatives:
Other Digital Humanities / Digital Media courses at CUNY this semester:
Arienne Dwyer – MALS 75500 – Digital Humanities: Methods and Practices – Mondays, 11:45 a.m.-1:45 p.m.
Luke Waltzer and Chris Stein – ITCP 70020 – Interactive Technology and the University: Theory, Design, and Practice – Tuesdays – 4:15 pm – 6:15 pm
Current courses at other universities which cover related topics:
Lauren Klein (CUNY 2011 PhD graduate), Georgia Institute of Technology: Studies in Communication and Culture: Data
Stefan Sinclair, McGill University: Digital Studies/Citizenry
Katy Börner, David Polley, Scott Weingart. Indiana University. Information visualization
The explosive growth of social media on the web, combined with the digitization of cultural artifacts by libraries and museums opens up exiting new possibilities for the study of cultural processes. For the first time, we have access to massive amounts of cultural data from both the past and the present.
How do we navigate and interact with massive cultural collections (billions of objects)?
How do we combine close reading of individual artifacts and “distant reading” of patterns across millions of these artifacts?
What visualization and computational tools are particularly suited for working with large cultural data sets?
How do we use exploratory visualization as a research method in the humanities and social science?
How to understand visualization theoretically in relation to other visual media, past and present?
This course explores the possibilities, the methods, and the tools for working with large cultural data sets, with a particular focus on data visualization and the analysis of visual media (images and video). It also covers relevant work from digital art and design, media theory and software studies,
We will also discuss cultural, social and technical developments that placed “information” and “data” in the center of contemporary social and economic life (the concepts of information society, network society, software society).
We will critically examine the fundamental paradigms developed by modern societies to analyze patterns in data – statistics, visualization, data mining. This will help us to employ computational tools more reflexively. At the same time, the practical work with these tools will help us to better understand how they are used in society at large – the modes of thinking they enable, their strengths and weaknesses, the often unexamined assumptions behind their use.
Finally, we also want to ask general questions about theory and art in a “postdigital” society.
The arrival of social media and the gradual move of all knowledge and media distribution and cultural communication to networked digital forms has created a new cultural landscape which challenges our existing methods and assumptions:
What new theoretical concepts and models we need to deal with the new scale of born-digital culture?