{"id":791,"date":"2017-05-11T19:20:06","date_gmt":"2017-05-11T19:20:06","guid":{"rendered":"http:\/\/davehuer.com\/cartoproblematica\/?page_id=791"},"modified":"2018-12-01T18:38:37","modified_gmt":"2018-12-01T18:38:37","slug":"about","status":"publish","type":"page","link":"https:\/\/davehuer.com\/cartoproblematica\/peregrinations\/about\/","title":{"rendered":"About David Huer"},"content":{"rendered":"
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My particular skill is to think through vast constellations of clues – and get paid for this.<\/div>\n<\/div>\n
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Getting down to the deepest roots<\/strong>. In physics, what gets called  \u201cfirst principles thinking,\u201d<\/strong> a mode of inquiry that relentlessly pursues the foundations of a problem.\u2019 https:\/\/en.wikipedia.org\/wiki\/First_principle<\/a> With a thinking style that is analogous to the deep learning subset of Machine Learning called Cloud-Mind or Superswarm thinking<\/a>. + Fuzzy Logic decision cloud-tree-clouds<\/a>. The former two describe the machine-learning swarms of artificial intelligence systems, and are easily imagined as the computing equivalent of constellations \u2013 clouds of butterflies; or flocks of birds diving and jinking as one; or schools of fish swimming in a bait ball: davehuer.com\/solving-wicked-problems\/<\/span><\/a><\/p>\n<\/div>\n

My terms for how I think are Liquid Membraning (Anticipated Liquid Data Fields) within Fluid-Web Linkages within Cloud-Thinking. This sometimes produces uplifting experiences: the best experience of my life being to coach a teenager with twisted arms to roll a whitewater kayak<\/a>, after our national whitewater slalom athletes & coaches couldn’t find a way. In all fairness, it was an enormously complex challenge. The solution was to become the anticipated orbital dynamics<\/a> of the challenge: To system-feel where he could roll; then teaching him to find the pivot \u2013 to exactly mimic the harmonics\u2019 flow-through – to learn the practicalities so he could roll himself.<\/p>\n

Seeing that boy grin up to his dad made the day.<\/p>\n

An earlier example comes from the years of my first degree (History, Guelph). Correcting date provenance of a building to 1855-56, by finding a missing document. This came from looking at 8 months of data, and having a niggling thought that the building was from the mid-1850s (not 1858-59 as extant data suggested), and then experiencing a “data cascade” leading me – like a line of lit-up fuse-cord – to a specific primary document (year, record type, sub-type) that my thinking said must be located in a particular university’s archives. One of eight that I’d gone to. That university’s archivist (Nancy S.) at first thought there was no such document; but then called me back, having remembered a cursorily catalogued stack of mid-19th C records donated 30 years previously; stored in the sub-basement of another building but not yet accessioned into the on-line catalogue. The document was there. Locating it took about 15 minutes.<\/p>\n

Connecting the dots. This is what I do.<\/p>\n

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My particular skill is to think through vast constellations of clues – and get paid for this. Getting down to … <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":22,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-791","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t