Now You See It: The Tour Begins!
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Our own Cathy Davidson, one of HASTAC's co-founders and principal bloggers (aka @catinstack), is off to New York today for the formal launch of her book, Now You See It: How the Brain Science of Attention Will Transform the Way We Live, Work, and Learn (Viking Press). We are very excited for her. You may have read the really amazing reviews in Publisher's Weekly, Fast Company, and the New York Times. PW has called Now You See It one of the "top ten science books" of the Fall 2011 publishing season. HASTAC and the Digital Media and Learning Competition are both prominently featured in the book, as is the HASTAC method of collaboration by difference.
Cathy is doing lots of radio and internet interviews this week and has print excerpts, serializations, or additional pieces coming out this week and next in Wall Street Journal.com, Harvard Business Review.com, Academe, and The Chronicle of Higher Education. CHE will also be hosting an online forum with Cathy on August 31st from 12-1 EST, and then Cathy goes off on a book tour that will take her to over thirty different events (universities, libraries, conferences, festivals, Google, Mozilla, and more). You can find the schedule here if you want to come out for one of these events: www.nowyouseeit.net/appearances. To order a copy of Now You See It you can click here, or go to her author website for other places you might order the book.
Thanks to all you HASTAC network members who have expressed interest!
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Natural versus Artificial Intelligence
It seems to me that a fundamental feature of analyst attention must be the distinction between artificial assimilation of complex, high-dimensional information and purposeful, intentional decision-making from consciously tractable information. The former must contend with tolerances for error (both false positives and false negatives) and expressive capacity of models under contention. The latter must be balanced and targeted toward a class of decisions. An ideal balance of artificial and natural intelligence will maintain a narrow analytical bandwidth amenable to combinatorial expansion and confer hard, evidence-based confidence in the resulting decisions.
Toward applications in education, the issues turn toward methods of visualization of combinations of synthetic scores reflecting selected target propensities. Visually (or otherwise) compelling displays may profitably guide or organize the analytical process in the realm of artificial intelligence , but should not strand the student or analyst with an inaccessibly complex collection of data. Such an AI process should seek robust, pivotal intermediate states from which further developments can be pursued. Often, a short series of AI steps will provide practical solutions to formidable problems.
Now, your mission, should you choose to accept it, is ...