{"id":"https://openalex.org/W4411946037","doi":"https://doi.org/10.1145/3736252.3742590","title":"Externally Valid Selection of Experimental Sites via the k-Median Problem","display_name":"Externally Valid Selection of Experimental Sites via the k-Median Problem","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411946037","doi":"https://doi.org/10.1145/3736252.3742590"},"language":"en","primary_location":{"id":"doi:10.1145/3736252.3742590","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742590","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742590","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742590","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090612972","display_name":"Jos\u00e9 Luis Montiel Olea","orcid":"https://orcid.org/0000-0002-1037-1628"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Luis Montiel Olea","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0002-1037-1628","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107198695","display_name":"Brenda Prallon","orcid":"https://orcid.org/0000-0002-4267-3903"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brenda Prallon","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0002-4267-3903","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101338877","display_name":"Chen Qiu","orcid":"https://orcid.org/0009-0005-9633-835X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Qiu","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0009-0005-9633-835X","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061049329","display_name":"J\u00f6rg Stoye","orcid":"https://orcid.org/0000-0001-8704-3131"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Stoye","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0001-8704-3131","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yiwei Sun","orcid":"https://orcid.org/0000-0003-3698-7890"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiwei Sun","raw_affiliation_strings":["Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0003-3698-7890","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090612972"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21491874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"544","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9229999780654907,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6837329864501953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5249925851821899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2320413589477539}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6837329864501953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249925851821899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2320413589477539}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736252.3742590","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742590","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742590","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736252.3742590","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742590","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742590","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1083685088","display_name":null,"funder_award_id":"SES-2315600","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411946037.pdf","grobid_xml":"https://content.openalex.org/works/W4411946037.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,37],"present":[1,38],"a":[2,24,28,80],"decision-theoretic":[3],"justification":[4],"for":[5],"viewing":[6],"the":[7,43,64,88,94],"question":[8],"of":[9,69,93],"how":[10],"to":[11,15,19,55],"best":[12],"choose":[13],"where":[14],"experiment":[16,56],"in":[17,31],"order":[18],"optimize":[20],"external":[21],"validity":[22],"as":[23,79],"k-median":[25,74],"(clustering)":[26],"problem,":[27],"popular":[29],"problem":[30,75],"computer":[32],"science":[33],"and":[34,90],"operations":[35],"research.":[36],"conditions":[39],"under":[40],"which":[41],"minimizing":[42],"worst-case,":[44],"welfare-based":[45],"regret":[46],"among":[47],"all":[48],"nonrandom":[49],"schemes":[50],"that":[51],"select":[52],"k":[53,65],"sites":[54],"is":[57],"approximately":[58],"equal\u2014and":[59],"sometimes":[60],"exactly":[61],"equal\u2014to":[62],"finding":[63],"most":[66],"central":[67],"vectors":[68],"baseline":[70],"site-level":[71],"covariates.":[72],"The":[73],"can":[76],"be":[77],"formulated":[78],"linear":[81],"integer":[82],"program.":[83],"Two":[84],"empirical":[85],"applications":[86],"illustrate":[87],"theoretical":[89],"computational":[91],"benefits":[92],"suggested":[95],"procedure.":[96]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}