Integrating Data Science Ethics Into an Undergraduate Major: A Case Study
We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our maj...
Gespeichert in:
| Veröffentlicht in: | Journal of Statistics and Data Science Education 2022-01, Vol.30 (1), p.15-28 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 28 |
|---|---|
| container_issue | 1 |
| container_start_page | 15 |
| container_title | Journal of Statistics and Data Science Education |
| container_volume | 30 |
| creator | Baumer, Benjamin S. Garcia, Randi L. Kim, Albert Y. Kinnaird, Katherine M. Ott, Miles Q. |
| description | We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our senior capstone course, as well as from side-to-side through co-curricular programming. We also provide six examples of data science ethics modules used in five different courses at our liberal arts college, each focusing on a different ethical consideration. The modules are designed to be portable such that they can be flexibly incorporated into existing courses at different levels of instruction with minimal disruption to syllabi. We connect our efforts to a growing body of literature on the teaching of data science ethics, present assessments of our effectiveness, and conclude with next steps and final thoughts. |
| doi_str_mv | 10.1080/26939169.2022.2038041 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_26939169_2022_2038041</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ1351971</ericid><doaj_id>oai_doaj_org_article_9ab1e0f3e69a4a59849d6246da4f4082</doaj_id><sourcerecordid>2820897133</sourcerecordid><originalsourceid>FETCH-LOGICAL-c473t-f06aa15beaa6b32de91120e28c4251e04b4f265898648b3d1380ffe318d77cfc3</originalsourceid><addsrcrecordid>eNp9UUtPGzEQtlCRigI_AclSz6F-rdfuqShNSyoqDpSzNetHcBTW1HaE8u_r7VLUUy-2Nd9jZvwhdEnJFSWKfGRSc02lvmKEsXZwRQQ9QWdTfTkB7_55v0cXpewIIayjnPf8DG02Y_XbDDWOW_wFKuB7G_1oPV7Xx2gLbnjCMOKH0fnciO4A1eMfsEv5E77GKyge39eDO56j0wD74i9e7wV6-Lr-ubpZ3t5926yub5dW9LwuA5EAtBs8gBw4c15Tyohnyoo2lCdiEIHJTmklhRq4o22hEDynyvW9DZYv0Gb2dQl25jnHJ8hHkyCaP4WUtwZyjXbvjYahOQbupQYBnVZCO8mEdCCCIIo1rw-z13NOvw6-VLNLhzy28Q1TjCjdt29qrG5m2ZxKyT68daXETCGYvyGYKQTzGkLTXc46n6N906y_U97RyXmBPs94HEPKT_CS8t6ZCsd9yiHDaGMx_P8tfgPVpJRl</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2820897133</pqid></control><display><type>article</type><title>Integrating Data Science Ethics Into an Undergraduate Major: A Case Study</title><source>Research Library</source><source>Research Library (Alumni Edition)</source><source>DOAJ Directory of Open Access Journals</source><source>Research Library Prep</source><source>Alma/SFX Local Collection</source><source>ProQuest Central</source><creator>Baumer, Benjamin S. ; Garcia, Randi L. ; Kim, Albert Y. ; Kinnaird, Katherine M. ; Ott, Miles Q.</creator><creatorcontrib>Baumer, Benjamin S. ; Garcia, Randi L. ; Kim, Albert Y. ; Kinnaird, Katherine M. ; Ott, Miles Q.</creatorcontrib><description>We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our senior capstone course, as well as from side-to-side through co-curricular programming. We also provide six examples of data science ethics modules used in five different courses at our liberal arts college, each focusing on a different ethical consideration. The modules are designed to be portable such that they can be flexibly incorporated into existing courses at different levels of instruction with minimal disruption to syllabi. We connect our efforts to a growing body of literature on the teaching of data science ethics, present assessments of our effectiveness, and conclude with next steps and final thoughts.</description><identifier>ISSN: 2693-9169</identifier><identifier>EISSN: 2693-9169</identifier><identifier>DOI: 10.1080/26939169.2022.2038041</identifier><language>eng</language><publisher>Alexandria: Taylor & Francis</publisher><subject>Accountability ; Algorithms ; Artificial intelligence ; Capstone Experiences ; Case Studies ; College Faculty ; Copyrights ; Core curriculum ; Curriculum Design ; Data Analysis ; Data ethics ; Data science ; Education ; Ethics ; Ethnicity ; Machine learning ; Majors (Students) ; Mathematical Models ; Medicine ; Music ; Program Descriptions ; R&D ; Race ; Research & development ; Research ethics ; Science education ; Self Evaluation (Groups) ; Social Networks ; Statistics Education ; Student Attitudes ; Students ; Teaching ; Teaching Methods ; Undergraduate curriculum ; Undergraduate Students</subject><ispartof>Journal of Statistics and Data Science Education, 2022-01, Vol.30 (1), p.15-28</ispartof><rights>2022 The Author(s). Published with license by Taylor & Francis Group, LLC. 2022</rights><rights>2022 The Author(s). Published with license by Taylor & Francis Group, LLC. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c473t-f06aa15beaa6b32de91120e28c4251e04b4f265898648b3d1380ffe318d77cfc3</citedby><cites>FETCH-LOGICAL-c473t-f06aa15beaa6b32de91120e28c4251e04b4f265898648b3d1380ffe318d77cfc3</cites><orcidid>0000-0002-3279-0516 ; 0000-0002-0435-8996 ; 0000-0001-7824-306X ; 0000-0003-4457-6565</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2820897133?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,860,2096,12724,12753,21367,21371,27901,27902,33429,33721,34311,36242,43592,43781,44049,44380</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1351971$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Baumer, Benjamin S.</creatorcontrib><creatorcontrib>Garcia, Randi L.</creatorcontrib><creatorcontrib>Kim, Albert Y.</creatorcontrib><creatorcontrib>Kinnaird, Katherine M.</creatorcontrib><creatorcontrib>Ott, Miles Q.</creatorcontrib><title>Integrating Data Science Ethics Into an Undergraduate Major: A Case Study</title><title>Journal of Statistics and Data Science Education</title><description>We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our senior capstone course, as well as from side-to-side through co-curricular programming. We also provide six examples of data science ethics modules used in five different courses at our liberal arts college, each focusing on a different ethical consideration. The modules are designed to be portable such that they can be flexibly incorporated into existing courses at different levels of instruction with minimal disruption to syllabi. We connect our efforts to a growing body of literature on the teaching of data science ethics, present assessments of our effectiveness, and conclude with next steps and final thoughts.</description><subject>Accountability</subject><subject>Algorithms</subject><subject>Artificial intelligence</subject><subject>Capstone Experiences</subject><subject>Case Studies</subject><subject>College Faculty</subject><subject>Copyrights</subject><subject>Core curriculum</subject><subject>Curriculum Design</subject><subject>Data Analysis</subject><subject>Data ethics</subject><subject>Data science</subject><subject>Education</subject><subject>Ethics</subject><subject>Ethnicity</subject><subject>Machine learning</subject><subject>Majors (Students)</subject><subject>Mathematical Models</subject><subject>Medicine</subject><subject>Music</subject><subject>Program Descriptions</subject><subject>R&D</subject><subject>Race</subject><subject>Research & development</subject><subject>Research ethics</subject><subject>Science education</subject><subject>Self Evaluation (Groups)</subject><subject>Social Networks</subject><subject>Statistics Education</subject><subject>Student Attitudes</subject><subject>Students</subject><subject>Teaching</subject><subject>Teaching Methods</subject><subject>Undergraduate curriculum</subject><subject>Undergraduate Students</subject><issn>2693-9169</issn><issn>2693-9169</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>DOA</sourceid><recordid>eNp9UUtPGzEQtlCRigI_AclSz6F-rdfuqShNSyoqDpSzNetHcBTW1HaE8u_r7VLUUy-2Nd9jZvwhdEnJFSWKfGRSc02lvmKEsXZwRQQ9QWdTfTkB7_55v0cXpewIIayjnPf8DG02Y_XbDDWOW_wFKuB7G_1oPV7Xx2gLbnjCMOKH0fnciO4A1eMfsEv5E77GKyge39eDO56j0wD74i9e7wV6-Lr-ubpZ3t5926yub5dW9LwuA5EAtBs8gBw4c15Tyohnyoo2lCdiEIHJTmklhRq4o22hEDynyvW9DZYv0Gb2dQl25jnHJ8hHkyCaP4WUtwZyjXbvjYahOQbupQYBnVZCO8mEdCCCIIo1rw-z13NOvw6-VLNLhzy28Q1TjCjdt29qrG5m2ZxKyT68daXETCGYvyGYKQTzGkLTXc46n6N906y_U97RyXmBPs94HEPKT_CS8t6ZCsd9yiHDaGMx_P8tfgPVpJRl</recordid><startdate>20220102</startdate><enddate>20220102</enddate><creator>Baumer, Benjamin S.</creator><creator>Garcia, Randi L.</creator><creator>Kim, Albert Y.</creator><creator>Kinnaird, Katherine M.</creator><creator>Ott, Miles Q.</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3279-0516</orcidid><orcidid>https://orcid.org/0000-0002-0435-8996</orcidid><orcidid>https://orcid.org/0000-0001-7824-306X</orcidid><orcidid>https://orcid.org/0000-0003-4457-6565</orcidid></search><sort><creationdate>20220102</creationdate><title>Integrating Data Science Ethics Into an Undergraduate Major: A Case Study</title><author>Baumer, Benjamin S. ; Garcia, Randi L. ; Kim, Albert Y. ; Kinnaird, Katherine M. ; Ott, Miles Q.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-f06aa15beaa6b32de91120e28c4251e04b4f265898648b3d1380ffe318d77cfc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accountability</topic><topic>Algorithms</topic><topic>Artificial intelligence</topic><topic>Capstone Experiences</topic><topic>Case Studies</topic><topic>College Faculty</topic><topic>Copyrights</topic><topic>Core curriculum</topic><topic>Curriculum Design</topic><topic>Data Analysis</topic><topic>Data ethics</topic><topic>Data science</topic><topic>Education</topic><topic>Ethics</topic><topic>Ethnicity</topic><topic>Machine learning</topic><topic>Majors (Students)</topic><topic>Mathematical Models</topic><topic>Medicine</topic><topic>Music</topic><topic>Program Descriptions</topic><topic>R&D</topic><topic>Race</topic><topic>Research & development</topic><topic>Research ethics</topic><topic>Science education</topic><topic>Self Evaluation (Groups)</topic><topic>Social Networks</topic><topic>Statistics Education</topic><topic>Student Attitudes</topic><topic>Students</topic><topic>Teaching</topic><topic>Teaching Methods</topic><topic>Undergraduate curriculum</topic><topic>Undergraduate Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baumer, Benjamin S.</creatorcontrib><creatorcontrib>Garcia, Randi L.</creatorcontrib><creatorcontrib>Kim, Albert Y.</creatorcontrib><creatorcontrib>Kinnaird, Katherine M.</creatorcontrib><creatorcontrib>Ott, Miles Q.</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of Statistics and Data Science Education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baumer, Benjamin S.</au><au>Garcia, Randi L.</au><au>Kim, Albert Y.</au><au>Kinnaird, Katherine M.</au><au>Ott, Miles Q.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1351971</ericid><atitle>Integrating Data Science Ethics Into an Undergraduate Major: A Case Study</atitle><jtitle>Journal of Statistics and Data Science Education</jtitle><date>2022-01-02</date><risdate>2022</risdate><volume>30</volume><issue>1</issue><spage>15</spage><epage>28</epage><pages>15-28</pages><issn>2693-9169</issn><eissn>2693-9169</eissn><abstract>We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our senior capstone course, as well as from side-to-side through co-curricular programming. We also provide six examples of data science ethics modules used in five different courses at our liberal arts college, each focusing on a different ethical consideration. The modules are designed to be portable such that they can be flexibly incorporated into existing courses at different levels of instruction with minimal disruption to syllabi. We connect our efforts to a growing body of literature on the teaching of data science ethics, present assessments of our effectiveness, and conclude with next steps and final thoughts.</abstract><cop>Alexandria</cop><pub>Taylor & Francis</pub><doi>10.1080/26939169.2022.2038041</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-3279-0516</orcidid><orcidid>https://orcid.org/0000-0002-0435-8996</orcidid><orcidid>https://orcid.org/0000-0001-7824-306X</orcidid><orcidid>https://orcid.org/0000-0003-4457-6565</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2693-9169 |
| ispartof | Journal of Statistics and Data Science Education, 2022-01, Vol.30 (1), p.15-28 |
| issn | 2693-9169 2693-9169 |
| language | eng |
| recordid | cdi_crossref_primary_10_1080_26939169_2022_2038041 |
| source | Research Library; Research Library (Alumni Edition); DOAJ Directory of Open Access Journals; Research Library Prep; Alma/SFX Local Collection; ProQuest Central |
| subjects | Accountability Algorithms Artificial intelligence Capstone Experiences Case Studies College Faculty Copyrights Core curriculum Curriculum Design Data Analysis Data ethics Data science Education Ethics Ethnicity Machine learning Majors (Students) Mathematical Models Medicine Music Program Descriptions R&D Race Research & development Research ethics Science education Self Evaluation (Groups) Social Networks Statistics Education Student Attitudes Students Teaching Teaching Methods Undergraduate curriculum Undergraduate Students |
| title | Integrating Data Science Ethics Into an Undergraduate Major: A Case Study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T18%3A05%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrating%20Data%20Science%20Ethics%20Into%20an%20Undergraduate%20Major:%20A%20Case%20Study&rft.jtitle=Journal%20of%20Statistics%20and%20Data%20Science%20Education&rft.au=Baumer,%20Benjamin%20S.&rft.date=2022-01-02&rft.volume=30&rft.issue=1&rft.spage=15&rft.epage=28&rft.pages=15-28&rft.issn=2693-9169&rft.eissn=2693-9169&rft_id=info:doi/10.1080/26939169.2022.2038041&rft_dat=%3Cproquest_cross%3E2820897133%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2820897133&rft_id=info:pmid/&rft_ericid=EJ1351971&rft_doaj_id=oai_doaj_org_article_9ab1e0f3e69a4a59849d6246da4f4082&rfr_iscdi=true |