{"id":42082,"date":"2021-11-16T12:43:26","date_gmt":"2021-11-16T16:43:26","guid":{"rendered":"https:\/\/libapps.libraries.uc.edu\/liblog\/?p=42082"},"modified":"2021-11-17T11:25:02","modified_gmt":"2021-11-17T15:25:02","slug":"data-day-2021-wrap","status":"publish","type":"post","link":"https:\/\/libapps.libraries.uc.edu\/liblog\/2021\/11\/data-day-2021-wrap\/","title":{"rendered":"Data Day 2021 Wrap"},"content":{"rendered":"

Authored by Amy Latessa (OoR Advanced Research Computing team) and Mark Chalmers (UC Libraries – Science and Engineering Libraries)<\/span><\/p>\n

On November 5th, UC Libraries with collaboration from the OoR Advanced Research Computing team, hosted the 6th annual UC Data Day. The theme of this year’s virtual event was <\/span>Bias, Miscommunication, and Equity in Data<\/span><\/i>\u00a0and featured a Keynote by\u00a0<\/span>Heather Krause<\/span><\/a>, two interactive panel sessions, and a weeklong virtual screening of the documentary film\u00a0<\/span>Coded Bias<\/span><\/i>.\u00a0\u00a0This year\u2019s event had 145 attendees and 29 views of the film.<\/span>\u00a0<\/span><\/p>\n

Following the opening remarks of\u00a0Xuemao\u00a0Wang, Vice Provost for Digital Scholarship and Dean and University Librarian of UC Libraries,\u00a0Data Day commenced with the keynote by\u00a0Heather Krause,\u00a0<\/span>PStat<\/span><\/a>, and Founder of\u00a0<\/span>We All Count<\/span><\/a>. Heather challenged the traditional notion of data’s objectivity, reminding attendees that researchers must make choices and these choices are not objective. Heather also walked participants through several examples of research questions and demonstrated how the questions could be better designed with equity in mind and the onus of change on systems.\u00a0\u00a0\u00a0She emphasized to participants that there is no “silver bullet” against bias, prejudice, and injustice, and we all must remain vigilant and consider who’s lived experiences are being centered, even at the onset of a project such as when formulating a research question. Heather was engaging and took many thought-provoking questions from the audience. <\/span>\u00a0<\/span><\/p>\n

Heather\u00a0stayed\u00a0as the moderator of the first panel session on\u00a0<\/span>Bias, Miscommunication, and Equity in Data<\/span><\/i>. She was joined by\u00a0Dr.\u00a0Ebony Ruhland (Assistant\u00a0Professor in the School of Criminal Justice at the University of Cincinnati),\u00a0Dr.\u00a0Jeff Blevins (Professor of Journalism at the University of Cincinnati), and\u00a0Dr.\u00a0Margarita\u00a0Boenig-Liptsin\u00a0(Research\u00a0Fellow at the Paris Institute of Advanced Study).\u00a0\u00a0The panel discussed\u00a0communication and ethics of data framing it around the term coined by Dr. Blevins,\u00a0\u201cthe social media marketplace of ideas\u201d.\u00a0<\/span>\u00a0<\/span><\/p>\n

The film\u00a0<\/span>Coded Bias<\/span><\/i><\/a>,\u00a0<\/span><\/i>which informed the second panel discussion, follows M.I.T.\u00a0Mediba\u00a0Lab computer scientist Joy\u00a0Buolamwini\u00a0along with data scientists, mathematicians, and global watchdog groups as they expose\u00a0the prevalent discrimination within algorithms.\u00a0It\u00a0demonstrates that the very machine-learning algorithms intended to avoid prejudice are only as unbiased as the humans and historical data programming them.\u00a0<\/span>\u00a0<\/span><\/p>\n

The plot of the film served as the\u00a0theme for\u00a0the final\u00a0interactive panel discussion\u00a0moderated by Chris\u00a0Collins\u00a0(Founder and Technical Lead of the UC Center for Simulations & virtual Environments Research). Chris was joined by\u00a0Dr.\u00a0Anissa\u00a0Tanweer\u00a0(Research Scientist at the University of Washington’s eScience Institute),\u00a0Dr.\u00a0Deeptankar\u00a0DeMazumder\u00a0(Director of the Artificial Intelligence and Precision Medicine Center of Excellence, and PI of the\u00a0Neurocardiology\u00a0Research Lab in the Division of Cardiology)\u00a0and\u00a0Nirmalya\u00a0Thakur (Instructor and\u00a0researcher with the Department of Electrical Engineering and Computer Science at the University of Cincinnati).\u00a0These panelists outlined the\u00a0\u201cgood vs. bad of AI\u201d\u00a0discussing the pros and cons of the ABC\u2019s: Availability of data, Braided systems, and Computational power\u00a0and\u00a0how AI understands user interactions.\u00a0Dr.\u00a0Demazumder\u00a0highlighted how AI facilitates information but is not an advocate of AI making the decision. This concept of the importance of AI literacy was echoed by the other panelists.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

We invite you to\u00a0visit the\u00a0<\/span>Data Day website<\/span><\/a>,\u00a0<\/span>review the sessions<\/span><\/a>\u00a0and continue the dialogue at\u00a0<\/span>AskData@uc.edu<\/span><\/a>\u00a0or attend an upcoming\u00a0<\/span>Data and Computational Science series<\/span><\/a>\u00a0event.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Authored by Amy Latessa (OoR Advanced Research Computing team) and Mark Chalmers (UC Libraries – Science and Engineering Libraries) On November 5th, UC Libraries with collaboration from the OoR Advanced Research Computing team, hosted the 6th annual UC Data Day. … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":419,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[279,26,317,109,73,13],"tags":[1034,1631,1975],"class_list":["post-42082","post","type-post","status-publish","format-standard","hentry","category-ceaslibrarynews","category-cech","category-chembio","category-gmp-library","category-hsl-libnews","category-uclibraries","tag-data","tag-data-computational-science-series","tag-data-day"],"_links":{"self":[{"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/posts\/42082","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/users\/419"}],"replies":[{"embeddable":true,"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/comments?post=42082"}],"version-history":[{"count":0,"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/posts\/42082\/revisions"}],"wp:attachment":[{"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/media?parent=42082"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/categories?post=42082"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/libapps.libraries.uc.edu\/liblog\/wp-json\/wp\/v2\/tags?post=42082"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}