{"id":2490,"date":"2023-02-15T19:43:42","date_gmt":"2023-02-15T19:43:42","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/?page_id=2490"},"modified":"2023-04-05T02:38:46","modified_gmt":"2023-04-05T02:38:46","slug":"additional-workshops-sessions","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/tracks\/additional-workshops-sessions\/","title":{"rendered":"Additional Workshops & Sessions"},"content":{"rendered":"\n
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Responsible Data Science Workshop<\/h2>\n

Monday, April 17<\/strong>
9:10-11:20am
Limited Capacity<\/em> \u2013 Pre-registration Required

Intended Audience<\/strong>:\u00a0Data science and data engineering practitioners and managers who want to reduce the risk of harm, including reputational harm, from ML deployments.

Nearly everywhere you turn in the field of data science, attention is focused on the issue of ethics.\u00a0 On a regular basis, examples appear in the technical and popular media of AI models making predictions and decisions that turn out to be unfair or biased.\u00a0 In many cases, the model \u201cowners\u201d did not intend to discriminate, and were unaware that they were doing so. Amazon operated a resume-screening algorithm for many months, aware that it was discriminating against women, before concluding that the problem was not with the mode, it was with the underlying training data.

This workshop will introduce a formal process, the Responsible Data Science Framework, to help protect against unwitting discriminatory AI behavior. First presented in the Wiley book by ERI scientists Grant Fleming and Peter Bruce, Responsible Data Science, it is an extension of standard \u201cbest technical practices\u201d models.\u00a0 The workshop consists of a high-level executive review, and links to a more complete course with full technical details.<\/p> <\/div>\n<\/div>\n\n

\n <\/div>\n\n <\/div>\n
\n \n
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\n \"Senior \n <\/div>\n \n \n
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\n Grant Fleming <\/h3>\n
\n Senior Data Scientist\nElder Research\n\n\n\n\n\n\n\n\n\n\n\n\n\n <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Demystifying the CAP\u00ae Exam Workshop<\/h2>\n

Monday, April 18<\/strong>
9:10am-12:20pm
Limited Capacity<\/em> \u2013 Pre-registration Required<\/p>\n

Ever wonder how to make yourself stand out in the analytics and data science community? Maybe you\u2019ve considered certification but aren\u2019t sure what that entails, the value it can bring, and how to go about the process. Join us to learn how to boost your analytics capabilities, and possibly advance your career by becoming a Certified Analytics Professional\u00ae with INFORMS.<\/p>\n

This training session provides an overview of what to expect when pursuing CAP designation, ways to prepare, and how to leverage the certification once you\u2019ve successfully earned CAP.<\/p>\n

This workshop will resonate with individual contributors and senior-level managers from data science wishing to deepen their skills, as well as career transitioning professionals wishing to move to more targeted data science workflows.<\/p>\n

Key takeaways include:<\/p>\n

    \n
  • Describe the CAP program, elements, and history<\/li>\n
  • Learn the process for becoming certified as a CAP<\/li>\n
  • Discuss the skill domains needed for successfully obtaining CAP designation<\/li>\n
  • Review materials and exercises relevant to the CAP exam<\/li>\n<\/ul> <\/div>\n<\/div>\n <\/div>\n
    \n \n
    \n
    \n \"Head \n <\/div>\n \n \n
    \n

    \n Beverly Wright, CAP <\/h3>\n
    \n Head of Data Science<\/b>
    Burtch Works <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

    Responsible Data Science Workshop Monday, April 179:10-11:20amLimited Capacity \u2013 Pre-registration RequiredIntended Audience:\u00a0Data science and data engineering practitioners and managers who want to reduce the risk of harm, including reputational harm, from ML deployments.Nearly everywhere you turn in the field of data science, attention is focused on the issue of ethics.\u00a0 On a regular basis, examples […]<\/p>\n","protected":false},"author":46,"featured_media":153,"parent":396,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-2490","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"\nAdditional Workshops & Sessions - 2023 INFORMS Business Analytics Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/tracks\/additional-workshops-sessions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Additional Workshops & Sessions\" \/>\n<meta property=\"og:description\" content=\"Responsible Data Science Workshop Monday, April 179:10-11:20amLimited Capacity \u2013 Pre-registration RequiredIntended Audience:\u00a0Data science and data engineering practitioners and managers who want to reduce the risk of harm, including reputational harm, from ML deployments.Nearly everywhere you turn in the field of data science, attention is focused on the issue of ethics.\u00a0 On a regular basis, examples […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/tracks\/additional-workshops-sessions\/\" \/>\n<meta property=\"og:site_name\" content=\"2023 INFORMS Business Analytics Conference\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/INFORMSpage\/\" \/>\n<meta property=\"article:modified_time\" content=\"2023-04-05T02:38:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2022\/10\/RGB_2023_Analytics_Logo.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@2023_Analytics\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/tracks\/additional-workshops-sessions\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/tracks\/additional-workshops-sessions\/\",\"name\":\"Additional Workshops & Sessions - 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Amazon operated a resume-screening algorithm for many months, aware that it was discriminating against women, before concluding that the problem was not with the mode, it was with the underlying training data.<br \/><br \/>This workshop will introduce a formal process, the Responsible Data Science Framework, to help protect against unwitting discriminatory AI behavior. First presented in the Wiley book by ERI scientists Grant Fleming and Peter Bruce, Responsible Data Science, it is an extension of standard \u201cbest technical practices\u201d models.\u00a0 The workshop consists of a high-level executive review, and links to a more complete course with full technical details.<\/p>\n\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/02\/Grant_Fleming.jpg\" title=\"Grant Fleming\" alt=\"Senior Data Scientist Elder Research\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/02\/Grant_Fleming.jpg 800w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/02\/Grant_Fleming-300x300.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/02\/Grant_Fleming-150x150.jpg 150w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/02\/Grant_Fleming-768x768.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/> <h3> Grant Fleming <\/h3> Senior Data Scientist Elder Research\n<h2>Demystifying the CAP\u00ae Exam Workshop<\/h2> <p><strong>Monday, April 18<\/strong><br>9:10am-12:20pm<br><em>Limited Capacity<\/em> \u2013 Pre-registration Required<\/p> <p>Ever wonder how to make yourself stand out in the analytics and data science community? Maybe you\u2019ve considered certification but aren\u2019t sure what that entails, the value it can bring, and how to go about the process. Join us to learn how to boost your analytics capabilities, and possibly advance your career by becoming a Certified Analytics Professional\u00ae with INFORMS.<\/p> <p>This training session provides an overview of what to expect when pursuing CAP designation, ways to prepare, and how to leverage the certification once you\u2019ve successfully earned CAP.<\/p> <p>This workshop will resonate with individual contributors and senior-level managers from data science wishing to deepen their skills, as well as career transitioning professionals wishing to move to more targeted data science workflows.<\/p> <p>Key takeaways include:<\/p> <ul> <li>Describe the CAP program, elements, and history<\/li> <li>Learn the process for becoming certified as a CAP<\/li> <li>Discuss the skill domains needed for successfully obtaining CAP designation<\/li> <li>Review materials and exercises relevant to the CAP exam<\/li> <\/ul>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/03\/Beverly_Wright-1.jpg\" title=\"Beverly Wright, CAP\" alt=\"Head of Data ScienceBurtch Works\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/03\/Beverly_Wright-1.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/03\/Beverly_Wright-1-150x150.jpg 150w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/03\/Beverly_Wright-1-47x48.jpg 47w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <h3> Beverly Wright, CAP <\/h3> <b>Head of Data Science<\/b><br \/>Burtch Works","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/2490","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/users\/46"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/comments?post=2490"}],"version-history":[{"count":36,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/2490\/revisions"}],"predecessor-version":[{"id":4089,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/2490\/revisions\/4089"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/396"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media\/153"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media?parent=2490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}