INTRO: Computer vision is a rapidly growing field devoted to analyzing, modifying, and high-level understanding of images. Its objective is to determine what is happening in front of a camera and use that understanding to control a computer or robotic system, or to provide people with new images that are more informative or esthetically pleasing than the original camera images. Application areas for computer-vision technology include video surveillance, biometrics, automotive, photography, movie production, Web search, medicine, augmented reality gaming, new user interfaces, and many more.
FROM SITE: Formerly Executive Director of the University of California System-wide Humanities Research Institute and Deputy Director of the University of California San Diego, Supercomputer Center (SDSC),Franklin was appointed as Executive Director of the University of Illinois Institute for Computing in the Humanities, Arts and Social Sciences, and Senior Research Scientist for the National Center for Supercomputing Applications (NCSA) in July of 2007. Franklin is a principal co-founder of the Humanities, Arts, Science and Technology Advanced Collaboratory (HASTAC).
FROM SITE: The Software Environment for the Advancement of Scholarly Research (SEASR), funded by the Andrew W. Mellon Foundation, provides a research and development environment capable of powering leading-edge digital humanities initiatives.
FROM SITE: HathiTrust is a partnership of major research institutions and libraries working to ensure that the cultural record is preserved and accessible long into the future. There are more than sixty partners in HathiTrust, and membership is open to institutions worldwide.
GroupScope: A Multimodal System for the Study of Large Group Dynamics
Interested in collective action, tracking emergence service providers (live world tracking)...want to track large groups (hundreds...)
GroupScope: an envionment that will develop technologies to understand social interactions with a fidelity that enables breakthrough social research.
Claims that he hopes the computer will do the drudgery and leave him to do the fun stuff; however, as the group of us work on coding the agenda...that is still requiring some of the drudgery (and the agenda is a short text!)
Learning about HathiTrust (large text archive/corpus)
FROM SITE: *ORA is a dynamic meta-network assessment and analysis tool developed by CASOS at Carnegie Mellon. It contains hundreds of social network, dynamic network metrics, trail metrics, procedures for grouping nodes, identifying local patterns, comparing and contrasting networks, groups, and individuals from a dynamic meta-network perspective.
With the free time at the end of the day I'm trying to build a map with a heavily edited version of the workshop agenda. Once I have that analysis and visual, I'm hoping to do the same with the tweets generated through the conference and compare/contrast results. I'm even betting there is a way to combine the two texts...but that is way above my beginner pay grade.
Abstract: This paper discusses aspects of a collaborative investigation of embodied computing and personal manufacturing. We describe the NeuroMaker 1.0, an artwork that playfully implements the concept of “translating of the designer’s ideas into a product”. Visitors to the installation were invited to use their own EEG to fabricate personalized physical objects. While primarily intended to provoke thought about the process of creativity, we also demonstrated that, with the right team, radical new interfaces are well within the reach.
FROM SITE: Marshall Scott Poole is a David and Margaret Romano Professorial Scholar, Professor in the Department of Communication, Senior Research Scientist at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, and Director of I-CHASS: The Institute for Computing in the Humanities, Arts, and Social Sciences.
FROM SITE: Topic models provide a simple way to analyze large volumes of unlabeled text. A "topic" consists of a cluster of words that frequently occur together. Using contextual clues, topic models can connect words with similar meanings and distinguish between uses of words with multiple meanings.
FROM SITE: One of the biggest challenges for digital humanities newbies is getting a handle on the vocabulary. The digital humanities community is open, welcoming, and willing to answer questions. They even created a website for that, DHAnswers. But, most newcomers don’t have enough vocabulary to be confident in framing a question.