{"id":"https://openalex.org/W7148506612","doi":"https://doi.org/10.48550/arxiv.2604.00632","title":"Neural Ordinary Differential Equations for Modeling Socio-Economic Dynamics","display_name":"Neural Ordinary Differential Equations for Modeling Socio-Economic Dynamics","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148506612","doi":"https://doi.org/10.48550/arxiv.2604.00632"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.00632","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132798705","display_name":"Sandeep Kumar Samota","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samota, Sandeep Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132824769","display_name":"Snehashish Chakraverty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chakraverty, Snehashish","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081319184","display_name":"Narayan Sethi","orcid":"https://orcid.org/0000-0003-4298-4928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sethi, Narayan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":false,"primary_topic":{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.05270000174641609,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.05270000174641609,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.03620000183582306,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10439","display_name":"Climate change impacts on agriculture","score":0.0333000011742115,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.9079999923706055},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.7810999751091003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6471999883651733},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.46810001134872437},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.45570001006126404},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.384799987077713},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.37770000100135803},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.37279999256134033}],"concepts":[{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.9079999923706055},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.7810999751091003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6471999883651733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5016999840736389},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.46810001134872437},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39660000801086426},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.374099999666214},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36739999055862427},{"id":"https://openalex.org/C181582579","wikidata":"https://www.wikidata.org/wiki/Q725944","display_name":"Runge\u2013Kutta methods","level":3,"score":0.36410000920295715},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C33962884","wikidata":"https://www.wikidata.org/wiki/Q378637","display_name":"Dynamical system (definition)","level":3,"score":0.3522999882698059},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.29019999504089355},{"id":"https://openalex.org/C93812963","wikidata":"https://www.wikidata.org/wiki/Q7249433","display_name":"Projected dynamical system","level":5,"score":0.2630999982357025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.00632","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00632","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.7499572038650513,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Poverty":[0],"is":[1,99,111,131],"a":[2,41,102,114],"complex":[3],"dynamic":[4],"challenge":[5],"that":[6,180],"cannot":[7],"be":[8],"adequately":[9],"captured":[10],"using":[11,113],"predefined":[12],"differential":[13],"equations.":[14],"Nowadays,":[15],"artificial":[16],"machine":[17],"learning":[18,46],"(ML)":[19],"methods":[20],"have":[21,38],"demonstrated":[22],"significant":[23],"potential":[24],"in":[25,63],"modelling":[26],"real-world":[27],"dynamical":[28,109],"systems.":[29],"Among":[30],"these,":[31],"Neural":[32,56,90,148,163,185],"Ordinary":[33],"Differential":[34],"Equations":[35],"(Neural":[36],"ODEs)":[37],"emerged":[39],"as":[40,184,189],"powerful,":[42],"data-driven":[43],"approach":[44],"for":[45,133,192,209],"continuous-time":[47],"dynamics":[48,62,168],"directly":[49],"from":[50,74],"observations.":[51],"This":[52,158],"chapter":[53],"applies":[54],"the":[55,64,79,89,93,97,120,127,143,152,160,167,170],"ODE":[57,91,116,144,149,164],"framework":[58],"to":[59,76,118,138,165],"analyze":[60],"poverty":[61,86,171,210],"Indian":[65],"state":[66],"of":[67,82,96,122,162,169,173],"Odisha.":[68],"Specifically,":[69],"we":[70],"utilize":[71],"time-series":[72],"data":[73,154],"2007":[75],"2020":[77],"on":[78],"key":[80],"indicators":[81],"economic":[83],"development":[84],"and":[85,206],"reduction.":[87],"Within":[88],"architecture,":[92],"temporal":[94],"gradient":[95,134],"system":[98,110],"represented":[100],"by":[101],"multi-layer":[103],"perceptron":[104],"(MLP).":[105],"The":[106,146,176],"obtained":[107,177],"neural":[108],"integrated":[112],"numerical":[115],"solver":[117],"obtain":[119],"trajectory":[121],"over":[123],"time.":[124],"In":[125],"backpropagation,":[126],"adjoint":[128],"sensitivity":[129],"method":[130],"utilized":[132],"computation":[135],"during":[136],"training":[137],"facilitate":[139],"effective":[140,190,207],"backpropagation":[141],"through":[142],"solver.":[145],"trained":[147],"model":[150],"reproduces":[151],"observed":[153],"with":[155,200],"high":[156],"accuracy.":[157],"demonstrates":[159],"capability":[161],"capture":[166],"indicator":[172],"concrete-structured":[174],"households.":[175],"results":[178],"show":[179],"ML":[181],"methods,":[182],"such":[183],"ODEs,":[186],"can":[187,197],"serve":[188],"tools":[191],"modeling":[193],"socioeconomic":[194],"transitions.":[195],"It":[196],"provide":[198],"policymakers":[199],"reliable":[201],"projections,":[202],"supporting":[203],"more":[204],"informed":[205],"decision-making":[208],"alleviation.":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-03T00:00:00"}