The Software Environment for the Advancement of Scholarly Research, SEASR (pronounced SEE-ZER), offers the humanities, arts, and social science communities a transformational cyberinfrastructure technology.
SEASR eases scholars’ access to digital research materials now stored in a variety of incompatible formats and enhances scholars’ use of them through analytics that can uncover hidden information and connections. SEASR fosters collaboration, too, through empowering scholars to share data and research in virtual work environments.
professor of Robotics and Computer Science at the School of Computer Science, Carnegie Mellon University. My main research interest is data mining...
During my teaching at CMU I've accumulated quite a number of introductory and advanced teaching materials about Data Mining, Machine Learning and Algorithms for AI. Click here for a set of Data Mining tutorials. In addition, some of the course links below can take you to additional teaching and learning materials.
"Emotional Cartography is a collection of essays from artists, designers, psychogeographers, cultural researchers, futurologists and neuroscientists, brought together by Christian Nold, to explore the political, social and cultural implications of visualising intimate biometric data and emotional experiences using technology" - http://www.biomapping.net/ - 18min/160MB-Video: http://www.archive.org/download/BioMapping/BioMapping.mp4
Thomas Maus, kurz und bündig http://www.busch-telefon.de/artikel/1152595671t85.pdf längeres Gespräch: http://chaosradio.ccc.de/cr115.html und: http://chaosradio.ccc.de/22c3_m4v_546.html
The real-time city is now real! The increasing deployment of sensors and hand-held electronics in recent years is allowing a new approach to the study of the built environment.
- http://senseable.mit.edu/obama/data_analysis.html
- http://senseable.mit.edu/realtimerome/
- http://senseable.mit.edu/trashtrack/
- http://www.mamartino.com/
- http://www.scientificamerican.com/article.cfm?id=ratti-smartest-cities-use-people-as-sensors Bilder:
- http://www.maind.supsi.ch/maindzine/wp-content/uploads/2008/10/fig-3.jpg
- http://flowingcity.com/wp-content/uploads/madonna-color-630x472.jpg
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Supercomputer predicts revolution:
http://www.bbc.co.uk/news/technology-14841018
F. Lemmerich, M. Becker, P. Singer, D. Helic, A. Hotho, и M. Strohmaier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, стр. 965–974. New York, NY, USA, Association for Computing Machinery, (2016)