{"id":"https://openalex.org/W7042549581","doi":null,"title":"Predictive Policing in Practice: A Case Study of Chicago's Strategic Subject List","display_name":"Predictive Policing in Practice: A Case Study of Chicago's Strategic Subject List","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7042549581"},"language":"en","primary_location":{"id":"pmh:oai:scholarship.claremont.edu:cmc_theses-5092","doi":null,"is_oa":false,"landing_page_url":"https://scholarship.claremont.edu/cmc_theses/3923","pdf_url":null,"source":{"id":"https://openalex.org/S4377196412","display_name":"Scholarship - Claremont (Claremont Colleges)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I872248612","host_organization_name":"Claremont Colleges","host_organization_lineage":["https://openalex.org/I872248612"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CMC Senior Theses","raw_type":"text"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Cheng, Stella","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cheng, Stella","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.5497999787330627,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.5497999787330627,"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"}},{"id":"https://openalex.org/T11076","display_name":"Policing Practices and Perceptions","score":0.32030001282691956,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.0560000017285347,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictive-policing","display_name":"predictive policing","score":0.9990000128746033},{"id":"https://openalex.org/keywords/chicago-police-department","display_name":"Chicago Police Department","score":0.9779999852180481},{"id":"https://openalex.org/keywords/algorithmic-risk-assessment","display_name":"algorithmic risk assessment","score":0.5569999814033508},{"id":"https://openalex.org/keywords/racial-bias-in-policing","display_name":"racial bias in policing","score":0.6990000009536743},{"id":"https://openalex.org/keywords/algorithmic-transparency","display_name":"algorithmic transparency","score":0.5059999823570251},{"id":"https://openalex.org/keywords/crime-prediction","display_name":"crime prediction","score":0.4860000014305115},{"id":"https://openalex.org/keywords/gun-violence","display_name":"gun violence","score":0.546999990940094}],"concepts":[{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.7092999815940857},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.6320000290870667},{"id":"https://openalex.org/C2776876444","wikidata":"https://www.wikidata.org/wiki/Q2845200","display_name":"Crime analysis","level":2,"score":0.6101999878883362},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.5199000239372253},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.3935000002384186},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38089999556541443},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3804999887943268},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C2779777834","wikidata":"https://www.wikidata.org/wiki/Q4202277","display_name":"Enforcement","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.36410000920295715},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C2779390178","wikidata":"https://www.wikidata.org/wiki/Q29137","display_name":"Cybercrime","level":3,"score":0.32260000705718994},{"id":"https://openalex.org/C166735990","wikidata":"https://www.wikidata.org/wiki/Q1750812","display_name":"Human factors and ergonomics","level":3,"score":0.31700000166893005},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C27219730","wikidata":"https://www.wikidata.org/wiki/Q46952","display_name":"Organised crime","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29109999537467957},{"id":"https://openalex.org/C48243021","wikidata":"https://www.wikidata.org/wiki/Q932522","display_name":"Strategic planning","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2621000111103058},{"id":"https://openalex.org/C2776348852","wikidata":"https://www.wikidata.org/wiki/Q855848","display_name":"Crime prevention","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C526869908","wikidata":"https://www.wikidata.org/wiki/Q3298118","display_name":"Suicide prevention","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.25459998846054077},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:scholarship.claremont.edu:cmc_theses-5092","doi":null,"is_oa":false,"landing_page_url":"https://scholarship.claremont.edu/cmc_theses/3923","pdf_url":null,"source":{"id":"https://openalex.org/S4377196412","display_name":"Scholarship - Claremont (Claremont Colleges)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I872248612","host_organization_name":"Claremont Colleges","host_organization_lineage":["https://openalex.org/I872248612"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CMC Senior Theses","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"},{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7201979644","https://openalex.org/W4366083553","https://openalex.org/W7169536387","https://openalex.org/W7217219339","https://openalex.org/W4410696520","https://openalex.org/W2901129609","https://openalex.org/W2466976093","https://openalex.org/W3082956309","https://openalex.org/W7052058313","https://openalex.org/W6884860619"],"abstract_inverted_index":{"Technological":[0],"advancements":[1],"in":[2,90,143,166,193],"big":[3],"data":[4,120],"and":[5,26,57,100,117,136,146],"algorithmic":[6],"modeling":[7],"have":[8,35],"contributed":[9],"to":[10,24,47,84],"the":[11,37,67,101,139,157,171,179,198,204],"rise":[12],"of":[13,39,59,63,88,103,122,181,200],"advanced":[14],"predictive":[15,65,194],"policing":[16,195],"techniques.":[17],"Law":[18],"enforcement":[19],"agencies":[20],"utilize":[21],"these":[22,33],"tools":[23],"predict":[25,85],"prevent":[27],"crime":[28,123,129,145,154,165],"before":[29],"it":[30],"occurs.":[31],"However,":[32],"techniques":[34],"been":[36],"subject":[38],"extensive":[40],"ethical":[41],"debates,":[42],"particularly":[43],"regarding":[44],"their":[45],"potential":[46],"reinforce":[48],"racial":[49],"biases.":[50],"This":[51],"thesis":[52,186],"provides":[53],"a":[54,60,91],"historical":[55],"overview":[56],"analysis":[58,121,126],"prominent":[61],"example":[62],"people-based":[64],"policing:":[66],"Chicago":[68],"Police":[69],"Department\u2019s":[70],"Strategic":[71,205],"Subject":[72,206],"List":[73,207],"(SSL)":[74],"program.":[75,208],"The":[76,108,125,148,185],"SSL":[77,140,158,172],"program":[78],"revolved":[79],"around":[80],"an":[81,118],"algorithm":[82],"designed":[83],"individuals'":[86],"risk":[87],"involvement":[89],"shooting,":[92],"using":[93],"indicators":[94],"such":[95],"as":[96,183],"co-arrest":[97],"networks,":[98],"age,":[99],"number":[102],"certain":[104],"offenses,":[105],"among":[106],"others.":[107],"program\u2019s":[109],"multi-year":[110],"implementation":[111],"is":[112],"evaluated":[113],"through":[114],"internal":[115],"reports":[116],"exploratory":[119],"data.":[124],"focuses":[127],"on":[128,163],"trends":[130],"across":[131],"Chicago\u2019s":[132],"22":[133],"police":[134],"districts":[135],"investigates":[137],"whether":[138],"was":[141],"effective":[142],"reducing":[144,164],"violence.":[147],"findings":[149],"suggest":[150],"that":[151],"while":[152],"citywide":[153],"rates":[155],"declined,":[156],"had":[159],"no":[160],"significant":[161],"impact":[162],"already":[167],"high-crime":[168],"districts.":[169],"Additionally,":[170],"disproportionately":[173],"flagged":[174],"young":[175],"Black":[176],"men":[177],"under":[178],"age":[180],"20":[182],"\u201chigh-risk.\u201d":[184],"concludes":[187],"with":[188],"recommendations":[189],"for":[190],"increased":[191],"transparency":[192],"programs,":[196],"including":[197],"release":[199],"more":[201],"information":[202],"about":[203]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2025-10-10T00:00:00"}