Data Science and AI Topical Interest Group (TIG)

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" 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communityDescriptionDashboard'> </div> </div><div class="ContentUserControl"> </div><div class="ContentUserControl"> <div id="MainCopy_ctl06_HTMLOptionsControl" class=" commHTMLOptionsToAttach"> <h2 id="MainCopy_ctl06_titleContainer"> </h2> <div id="MainCopy_ctl06_EditHtmlContainer" class="row"> <div class="col-md-12"> <input type="hidden" name="ctl00$MainCopy$ctl06$dropdownplaceholder" id="MainCopy_ctl06_dropdownplaceholder" /> <div id="MainCopy_ctl06_UpdatePanel1"> <div id="MainCopy_ctl06_pnlData"> <div id="MainCopy_ctl06_pnlSummaryEdit" class="summary-edit"> <div class='Content'><p><strong>Ian Kerman, (LabVoice) and Paul Jensen (University of Michigan), Chairs</strong></p> <p>The purpose of this TIG is to:</p> <ul> <li>Develop, aggregate, and communicate best practices</li> <li>Investigate data science code of ethics, i.e., ethical machine learning, ethics education and awareness</li> <li>Help clarify what it takes to be a data scientist – i.e., career paths, education, and support</li> <li>Provide skill training, i.e., data visualization, new tools, Big Data, "Data Science for Scientists"</li> <li>Facilitate vendor outreach (training, tools, etc.)</li> </ul></div> </div> </div> </div> </div> </div> </div> </div></div></div><div class="row row-wide clearfix "><div class="col-md-3 section2"></div><div class="col-md-9 section3"></div></div><div class="row row-wide clearfix "><div class="col-md-8 section4"><div class="ContentUserControl"> <div id="MainCopy_ctl11_ctl00"> <div id="ajaxContainer" class="HLLandingControl HLDiscussions"> <div class="row heading"> <div class="col-md-12 no-pad"> <h2 id="MainCopy_ctl11_TitleText"> Latest Discussions </h2> </div> </div> <div class='Content'> <div id="MainCopy_ctl11_ContentPanel" class="row"> <div class="col-md-12 no-pad"> <ul> <li> <div class="row title-row"> <div id="MainCopy_ctl11_DiscussionList_Picture_0" class="col-sm-2 col-md-2 no-pad" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db"> <a id="MainCopy_ctl11_DiscussionList_ProfileLink_0" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db"><a id="MainCopy_ctl11_DiscussionList_ProfileImage_0_lnkDisplay_0" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db"><img id="MainCopy_ctl11_DiscussionList_ProfileImage_0_imgDisplay_0" title="Ian Kerman" class="Image" height="50" width="50" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db" src="https://d132x6oi8ychic.cloudfront.net/higherlogic/directory/imagedisplay/6b5ddb9e-8e21-40fd-b0fa-e8039dc3c86d/58a47bb6-e014-4644-84f1-4ee51b8d3e27/200/200/637837255885170000" alt="Profile Picture" /></a> </a> </div> <div class='col-sm-10 col-md-10'> <h3> <a id="MainCopy_ctl11_DiscussionList_Subject_0" title="RE: Exploring Bias in AI Models" class="LinkDocumentTitle" href="https://connected.slas.org/discussion/exploring-bias-in-ai-models#bm958099cf-a375-46b5-ba88-0194b5bae6a3">RE: Exploring Bias in AI Models</a> </h3> <div class="ByLine"> By: <a id="MainCopy_ctl11_DiscussionList_Name_0" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db">Ian Kerman</a> , 18 days ago </div> </div> </div> <div class="row content-row"> <div class="col-md-12 no-pad"> </div> </div> <div class="row"> <div class="col-md-12 no-pad break-word"> <p id="MainCopy_ctl11_DiscussionList_ContentPanel_0"> Hi Favohem, 
 
 I don't have any personal experience in working with social data. You may be able to start with some of the methods ... </p> </div> </div> <div class="row"> </div> </li> <li> <div class="row title-row"> <div id="MainCopy_ctl11_DiscussionList_Picture_1" class="col-sm-2 col-md-2 no-pad" biobubblekey="95ca83d5-f175-47d1-8b6d-0194b19f98e7"> <a id="MainCopy_ctl11_DiscussionList_ProfileLink_1" href="https://connected.slas.org/profile?UserKey=95ca83d5-f175-47d1-8b6d-0194b19f98e7"><a id="MainCopy_ctl11_DiscussionList_ProfileImage_1_lnkDisplay_1" biobubblekey="95ca83d5-f175-47d1-8b6d-0194b19f98e7" href="https://connected.slas.org/profile?UserKey=95ca83d5-f175-47d1-8b6d-0194b19f98e7"><img id="MainCopy_ctl11_DiscussionList_ProfileImage_1_imgNoImage_1" title="Favohem Ahaks" class="Image" height="50" width="50" biobubblekey="95ca83d5-f175-47d1-8b6d-0194b19f98e7" src="https://d2x5ku95bkycr3.cloudfront.net/App_Themes/Common/images/profile/FA-Green.svg" alt="Profile Picture" /></a> </a> </div> <div class='col-sm-10 col-md-10'> <h3> <a id="MainCopy_ctl11_DiscussionList_Subject_1" title="Exploring Bias in AI Models" class="LinkDocumentTitle" href="https://connected.slas.org/discussion/exploring-bias-in-ai-models#bm3406c89e-fd9a-4b6a-ae9b-1f913370d7e3">Exploring Bias in AI Models</a> </h3> <div class="ByLine"> By: <a id="MainCopy_ctl11_DiscussionList_Name_1" biobubblekey="95ca83d5-f175-47d1-8b6d-0194b19f98e7" href="https://connected.slas.org/profile?UserKey=95ca83d5-f175-47d1-8b6d-0194b19f98e7">Favohem Ahaks</a> , 18 days ago </div> </div> </div> <div class="row content-row"> <div class="col-md-12 no-pad"> </div> </div> <div class="row"> <div class="col-md-12 no-pad break-word"> <p id="MainCopy_ctl11_DiscussionList_ContentPanel_1"> Hello 
 As data science and AI technologies continue to evolve; one pressing concern is the inherent bias in AI models that can ... </p> </div> </div> <div class="row"> </div> </li> <li> <div class="row title-row"> <div id="MainCopy_ctl11_DiscussionList_Picture_2" class="col-sm-2 col-md-2 no-pad" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db"> <a id="MainCopy_ctl11_DiscussionList_ProfileLink_2" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db"><a id="MainCopy_ctl11_DiscussionList_ProfileImage_2_lnkDisplay_2" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db"><img id="MainCopy_ctl11_DiscussionList_ProfileImage_2_imgDisplay_2" title="Ian Kerman" class="Image" height="50" width="50" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db" src="https://d132x6oi8ychic.cloudfront.net/higherlogic/directory/imagedisplay/6b5ddb9e-8e21-40fd-b0fa-e8039dc3c86d/58a47bb6-e014-4644-84f1-4ee51b8d3e27/200/200/637837255885170000" alt="Profile Picture" /></a> </a> </div> <div class='col-sm-10 col-md-10'> <h3> <a id="MainCopy_ctl11_DiscussionList_Subject_2" title="Data Science & AI Topical Interest Group at SLAS 2025" class="LinkDocumentTitle" href="https://connected.slas.org/discussion/data-science-ai-topical-interest-group-at-slas-2025#bmbf4e5eee-01c7-4b6d-81f5-9a6a3d599fc5">Data Science & AI Topical Interest Group at SLAS 2 ...</a> </h3> <div class="ByLine"> By: <a id="MainCopy_ctl11_DiscussionList_Name_2" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db">Ian Kerman</a> , 19 days ago </div> </div> </div> <div class="row content-row"> <div class="col-md-12 no-pad"> </div> </div> <div class="row"> <div class="col-md-12 no-pad break-word"> <p 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</div> </div> </div> </div> </div> </div><div class="ContentUserControl"> <div class="HLLandingControl HLEngagement"> <div class="row heading"> <div class="col-md-12 no-pad"> <h2 id="MainCopy_ctl18_TitleText"> Most Active </h2> </div> </div> <div class="Content"> <div class="row no-margin-left no-margin-right"> <div class="col-md-12 no-pad"> <ul class='display-vertical'> <li class="active-user-row"> <div class="row title-row"> <div id="MainCopy_ctl18_EngagementList_Picture_0" class="Picture col-md-3" biobubblekey="380d0327-8f55-4d07-89b3-59c696efe3db"> <a id="MainCopy_ctl18_EngagementList_ProfileLink_0" href="https://connected.slas.org/profile?UserKey=380d0327-8f55-4d07-89b3-59c696efe3db"><img id="MainCopy_ctl18_EngagementList_ProfilePic_0" class="Image" height="50" width="50" src="https://d132x6oi8ychic.cloudfront.net/higherlogic/directory/imagedisplay/6b5ddb9e-8e21-40fd-b0fa-e8039dc3c86d/f41745e5-3af0-4512-ae33-b5ac70d6831a/50/50/637837255885470000" alt="Ian Kerman" /></a> </div> 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src="https://d2x5ku95bkycr3.cloudfront.net/App_Themes/Common/images/profile/DV-Pink.svg" alt="Profile Picture" /></a> </div> <div class="col-md-9"> <a id="MainCopy_ctl18_EngagementList_NameLink_1" biobubblekey="fdba8e74-a46c-45b8-b688-018d6130baa5" href="https://connected.slas.org/profile?UserKey=fdba8e74-a46c-45b8-b688-018d6130baa5">Daniel Vlasits</a> <div id="MainCopy_ctl18_EngagementList_DivCompanyNameLocation_1" class="ByLine"> University of Cambridge<br /> </div> </div> </div> <div class="row content-row"> <div class="Picture col-md-3"></div> <div class="col-md-9"> <div class="label label-success points-label"> 6 Points </div> </div> </div> </li> <li class="active-user-row"> <div class="row title-row"> <div id="MainCopy_ctl18_EngagementList_Picture_2" class="Picture col-md-3" biobubblekey="dc6b1477-d2c6-4353-96c1-0192d37c6cc3"> <a id="MainCopy_ctl18_EngagementList_ProfileLink_2" href="https://connected.slas.org/profile?UserKey=dc6b1477-d2c6-4353-96c1-0192d37c6cc3"><img id="MainCopy_ctl18_EngagementList_ProfilePic_2" class="Image" alt="photo not available" height="50" width="50" src="https://d2x5ku95bkycr3.cloudfront.net/App_Themes/Common/images/profile/KM-Pink.svg" alt="Profile Picture" /></a> </div> <div class="col-md-9"> <a id="MainCopy_ctl18_EngagementList_NameLink_2" biobubblekey="dc6b1477-d2c6-4353-96c1-0192d37c6cc3" href="https://connected.slas.org/profile?UserKey=dc6b1477-d2c6-4353-96c1-0192d37c6cc3">Kelechi Mezu</a> <div id="MainCopy_ctl18_EngagementList_DivCompanyNameLocation_2" class="ByLine"> NCATS-NIH/Axle Informatics<br /> </div> </div> </div> <div class="row content-row"> <div class="Picture col-md-3"></div> <div class="col-md-9"> <div class="label label-success points-label"> 4 Points </div> </div> </div> </li> <li class="active-user-row"> <div class="row title-row"> <div id="MainCopy_ctl18_EngagementList_Picture_3" class="Picture col-md-3" biobubblekey="0646a7a1-dc98-497c-91d4-019095f2322d"> <a id="MainCopy_ctl18_EngagementList_ProfileLink_3" href="https://connected.slas.org/profile?UserKey=0646a7a1-dc98-497c-91d4-019095f2322d"><img id="MainCopy_ctl18_EngagementList_ProfilePic_3" class="Image" alt="photo not available" height="50" width="50" src="https://d2x5ku95bkycr3.cloudfront.net/App_Themes/Common/images/profile/JA-Green.svg" alt="Profile Picture" /></a> </div> <div class="col-md-9"> <a id="MainCopy_ctl18_EngagementList_NameLink_3" biobubblekey="0646a7a1-dc98-497c-91d4-019095f2322d" href="https://connected.slas.org/profile?UserKey=0646a7a1-dc98-497c-91d4-019095f2322d">Jacob Azerlatt</a> <div id="MainCopy_ctl18_EngagementList_DivCompanyNameLocation_3" class="ByLine"> Oil Company Uganda<br /> </div> </div> </div> <div class="row content-row"> <div class="Picture col-md-3"></div> <div class="col-md-9"> <div class="label label-success points-label"> 4 Points </div> </div> </div> </li> <li class="active-user-row"> <div class="row title-row"> <div id="MainCopy_ctl18_EngagementList_Picture_4" class="Picture col-md-3" biobubblekey="1ef17ce0-202f-4594-a25b-018d6ab161bf"> <a id="MainCopy_ctl18_EngagementList_ProfileLink_4" href="https://connected.slas.org/profile?UserKey=1ef17ce0-202f-4594-a25b-018d6ab161bf"><img id="MainCopy_ctl18_EngagementList_ProfilePic_4" class="Image" height="50" width="50" src="https://d132x6oi8ychic.cloudfront.net/higherlogic/directory/imagedisplay/6b5ddb9e-8e21-40fd-b0fa-e8039dc3c86d/17727675-e81b-4c24-9e9a-018d6ab2bf51/50/50/638424709157930000" alt="Eli Pollock" /></a> </div> <div class="col-md-9"> <a id="MainCopy_ctl18_EngagementList_NameLink_4" biobubblekey="1ef17ce0-202f-4594-a25b-018d6ab161bf" href="https://connected.slas.org/profile?UserKey=1ef17ce0-202f-4594-a25b-018d6ab161bf">Eli Pollock</a> <div id="MainCopy_ctl18_EngagementList_DivCompanyNameLocation_4" class="ByLine"> Ontologic<br /> </div> </div> </div> <div class="row content-row"> <div class="Picture col-md-3"></div> <div class="col-md-9"> 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