{"id":8804,"date":"2017-01-02T14:02:14","date_gmt":"2017-01-02T19:02:14","guid":{"rendered":"https:\/\/collegeresearchsharing.com\/?page_id=8804"},"modified":"2026-05-24T16:31:31","modified_gmt":"2026-05-24T20:31:31","slug":"data-modeling-challenges-today-and-going-forward","status":"publish","type":"page","link":"https:\/\/collegeresearchsharing.com\/?page_id=8804","title":{"rendered":"Data Modeling and AI Challenges"},"content":{"rendered":"\n

Data modeling and AI are now the Brave New World, but at what cost? There are a myriad of examples of the use of this new technology, but we must always put this into a clmate-related frame of reference else it get out of control; including as this relates to our use or overuse of natural resources. As just one example, in the May 2026 Scientific American<\/em>, we read about the business of “greenfield” mineral mining in “block caves” where companies such as Earth AI and KoBold Metals are using novel artificial-intelligence models to find patterns in decades’ worth of existing geological and survey data. Early results are promising, yielding new discoveries of copper and palladium. But the scale of the need is hard to imagine. <\/p>\n\n\n\n

It can take 29 years to develop a mine in America. According to J.P. Morgan, the global refined-copper shortfall will be 330,000 tons this year and could widen to as much as eight million tons by 2035. The UN predicts that demand for critical minerels could triple by 2030. To meet its Net Zero 2050 goals, the International Energy Agency estimates that annual production of these minerals will need to increase sixfold.<\/p>\n\n\n\n

Data modeling repositories offer great promise and great concerns. \u00a0Higher Ed is excited, as we read in this Campus Technology <\/em>article (from 2016) by Mary Grush, a Q&A with Ray Uzwyshyn, but now in 2026 we’ve seen cuts to the major, federal scientific research organizations. “Coming of Age: The Online Data Research Repository<\/a>“:<\/p>\n\n\n\n

Conclusion: ” Historically, the advancement of scientific discovery has been predicated on the sharing of knowledge and data. This is true from Newton to Einstein. As Newton put this, ‘If I have been able to see a little further, it is because I have been allowed to stand on the shoulders of Giants’. The larger idea is that no researcher is working in a vacuum, but rather within a scholarly community with a past trajectory and a forward telos. Because of this, I’m encouraged by these new technological possibilities for organization and sharing from this great ocean of data opening before us. Our software infrastructures are now able to allow this next renaissance of discovery, enabling new insights and synthesis from current results. Hopefully this will also allow a few of those next intrepid explorers to stand on the shoulders of giants.”<\/p>\n\n\n\n

We can only hope!<\/p>\n

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Data modeling and AI are now the Brave New World, but at what cost? There are a myriad of examples of the use of this new technology, but we must always put this into a clmate-related frame of reference else it get out of control; including as this relates to our use or overuse of … Continue reading Data Modeling and AI Challenges<\/span> →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":3538,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_seo_schema_type":"","_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"footnotes":""},"class_list":["post-8804","page","type-page","status-publish","hentry"],"jetpack_shortlink":"https:\/\/wp.me\/P2jH4N-2i0","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/pages\/8804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8804"}],"version-history":[{"count":7,"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/pages\/8804\/revisions"}],"predecessor-version":[{"id":28446,"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/pages\/8804\/revisions\/28446"}],"up":[{"embeddable":true,"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=\/wp\/v2\/pages\/3538"}],"wp:attachment":[{"href":"https:\/\/collegeresearchsharing.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}