{"id":"https://openalex.org/W4289139359","doi":"https://doi.org/10.25080/majora-212e5952-00b","title":"Python for Global Applications: teaching scientific Python in context to law and diplomacy students","display_name":"Python for Global Applications: teaching scientific Python in context to law and diplomacy students","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289139359","doi":"https://doi.org/10.25080/majora-212e5952-00b"},"language":"en","primary_location":{"id":"doi:10.25080/majora-212e5952-00b","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-212e5952-00b","pdf_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/anna_haensch.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/anna_haensch.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062255453","display_name":"Anna Haensch","orcid":"https://orcid.org/0000-0002-2299-2106"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anna Haensch","raw_affiliation_strings":["Data Intensive Studies Center","Tufts University"],"affiliations":[{"raw_affiliation_string":"Data Intensive Studies Center","institution_ids":[]},{"raw_affiliation_string":"Tufts University","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051801957","display_name":"Karin M. Knudson","orcid":"https://orcid.org/0000-0003-0843-456X"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karin Knudson","raw_affiliation_strings":["Data Intensive Studies Center","Tufts University"],"affiliations":[{"raw_affiliation_string":"Data Intensive Studies Center","institution_ids":[]},{"raw_affiliation_string":"Tufts University","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062255453"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52025174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8257178068161011},{"id":"https://openalex.org/keywords/coursework","display_name":"Coursework","score":0.6798968315124512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692187190055847},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.45568326115608215},{"id":"https://openalex.org/keywords/competence","display_name":"Competence (human resources)","score":0.4379333555698395},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.40809914469718933},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37645164132118225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3534288704395294},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32235056161880493},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2253887951374054},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.1851825714111328},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15347892045974731}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8257178068161011},{"id":"https://openalex.org/C2781110425","wikidata":"https://www.wikidata.org/wiki/Q2074695","display_name":"Coursework","level":2,"score":0.6798968315124512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692187190055847},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.45568326115608215},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.4379333555698395},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.40809914469718933},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37645164132118225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3534288704395294},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32235056161880493},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2253887951374054},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.1851825714111328},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15347892045974731},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.25080/majora-212e5952-00b","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-212e5952-00b","pdf_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/anna_haensch.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.25080/majora-212e5952-00b","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-212e5952-00b","pdf_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/anna_haensch.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289139359.pdf","grobid_xml":"https://content.openalex.org/works/W4289139359.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1500693574","https://openalex.org/W1728842521","https://openalex.org/W2011301426","https://openalex.org/W2139894798","https://openalex.org/W2342249984","https://openalex.org/W2562598153","https://openalex.org/W2573660794","https://openalex.org/W2582966012","https://openalex.org/W2594690992","https://openalex.org/W2788481061","https://openalex.org/W2997591727","https://openalex.org/W3100401445","https://openalex.org/W3150635270","https://openalex.org/W6893983555","https://openalex.org/W6931321271","https://openalex.org/W7019589664"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3041083246","https://openalex.org/W4297986055","https://openalex.org/W2327204559","https://openalex.org/W3129254793","https://openalex.org/W2166491149","https://openalex.org/W2587671147","https://openalex.org/W2084397923","https://openalex.org/W2623240261","https://openalex.org/W2528837208"],"abstract_inverted_index":{"For":[0],"students":[1,90,143],"across":[2],"domains":[3],"and":[4,12,39,55,65,147,209,223,226],"disciplines,":[5],"the":[6,28,98,105,118,125,135,173,220],"message":[7],"has":[8,47,165],"been":[9,48],"communicated":[10],"loud":[11],"clear:":[13],"data":[14,53,194,202],"skills":[15,57,204],"are":[16,179],"an":[17],"essential":[18],"qualification":[19],"for":[20,52,142,199],"today's":[21],"job":[22],"market.":[23],"This":[24],"includes":[25],"not":[26],"only":[27],"traditional":[29],"introductory":[30,201],"stats":[31],"coursework":[32],"but":[33],"also":[34],"machine":[35],"learning,":[36],"artificial":[37],"intelligence,":[38],"programming":[40],"in":[41,63,132,205],"Python":[42],"or":[43],"R.":[44],"Consequently,":[45],"there":[46],"significant":[49,167],"student-initiated":[50],"demand":[51],"analytic":[54],"computational":[56],"sometimes":[58],"with":[59],"very":[60],"clear":[61],"objectives":[62],"mind,":[64],"other":[66,119],"times":[67],"guided":[68],"by":[69,176],"a":[70,162,197,206],"vague":[71],"sense":[72],"of":[73,107,157],"\"the":[74],"work":[75],"I":[76],"want":[77],"to":[78,97,137,161,184],"do":[79,112],"will":[80,214],"require":[81],"this.\"":[82],"Now":[83],"we":[84,88,103,190,230],"have":[85],"options.":[86],"If":[87],"train":[89],"using":[91],"\"black":[92,126],"box\"":[93,127],"algorithms":[94,177],"without":[95,181],"attending":[96],"technical":[99],"choices":[100],"involved,":[101],"then":[102],"run":[104],"risk":[106],"unleashing":[108],"practitioners":[109],"who":[110],"might":[111],"more":[113],"harm":[114],"than":[115],"good.":[116],"On":[117],"hand,":[120],"courses":[121],"that":[122,134,164,178,229],"completely":[123],"unpack":[124],"can":[128],"be":[129],"so":[130],"steeped":[131],"theory":[133],"barrier":[136],"entry":[138],"becomes":[139],"too":[140],"high":[141],"from":[144],"social":[145],"science":[146,203],"policy":[148],"backgrounds,":[149],"thereby":[150],"excluding":[151],"critical":[152],"voices.":[153],"In":[154,187],"sum,":[155],"both":[156],"these":[158],"options":[159],"lead":[160],"pitfall":[163],"gained":[166],"media":[168],"attention":[169,183],"over":[170],"recent":[171],"years:":[172],"harms":[174],"caused":[175],"implemented":[180],"sufficient":[182],"human":[185],"context.":[186],"this":[188],"paper,":[189],"-two":[191],"mathematicians":[192],"turned":[193],"scientists":[195],"-present":[196],"framework":[198],"teaching":[200],"highly":[207],"contextualized":[208],"domain":[210],"flexible":[211],"environment.":[212],"We":[213],"present":[215],"example":[216],"course":[217],"outlines":[218],"at":[219],"semester,":[221],"weekly,":[222],"daily":[224],"level,":[225],"share":[227],"materials":[228],"think":[231],"hold":[232],"promise.":[233]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
