Library
Further reading
Papers, reports, and readings relevant to the THRIVE project. Suggestions welcome by email.
- Cholke P., Mishra A.S., Mehar V.N., Chikhale M.R., Marathe H.S., Nhalade D.Y.citizen participationdigital governancemachine learningsmart city
- Trelohan M., Gay A.-C., Moroz D., Chaney D.biodiversityenvironmental governancelarge language modelspublic consultation
- Fei D., Yang J., Zhang Y.large language modelspublic discussionredevelopmenturban aesthetics
- Hao X., Huang S., Demir E., Al-Hanbali A., Woensel T.V.autonomous vehiclespublic engagementtrust and actionurban mobility
- Teofilo L.M., Soberano K.T.blockchaincitizen reportinge-governmentnatural language processing
- Domingues M., Neto M., Silva A., Dias T., Rosa L., Tomas P., Guerra C., Martins V., Cordeiro L.civic participationdigital democracylarge language modelsparticipatory processes
- Lee D., Hwang J.analytic hierarchy processnatural language processingparticipatory planningsmart city
- Thach N., Sha X., Chan H.fairnesslarge language modelsparticipatory budgeting
- Palm M., Thomas A.congestion pricinglarge language modelsstructural topic modelingtransportation equity
- Poulos N., Price H., Bell L., Byrd-Williams C., Torres-Peralta S., Marty E.ai-assisted codingcontent analysisgptqualitative analysis
- Aguilar-Moreno J.A., Palos-Sanchez P.R., Pozo-Barajas R., Duarte-Atoche T.mobility as a serviceorange data miningsustainable mobilityurban mobility
- Kumar R.P., Benny P.S., Manideep C., Sushmitha G., Athfaan M.civic grievance managementmultimodal analysisnatural language processingsmart city
- Vashisth S., Goel S., Kumar P., Kumar P., Sharma S.K.civic grievance classificationdeep learningmultimodal learningsmart city
- Nalla S., Dey E., Takkar S., Sharma D., Pragnya L., Gowri V.civic issue reportingcrowdsourcingdigital governancenatural language processing
- Sagsagat M.E.C., Pineda E.D., Victoriano J.M., Chavez E.P., Lagman A.C., Tano I.M.community outreachnatural language processingopenai gptsentiment analysis
- Shrestha S., Taggart A., Varde A.S.ai in energy equitydata miningdecision supportnlp
- Anandhi R.J., T. S., Pillai D.R., Gadi P., Aradya S., Prasathkannan A.accountability frameworkdata visualizationdigital governanceinformation transparency
- Rong H.H., Davis J., Rada-Orellana M.large language modelsnatural language processingpublic participationupzoning
Exploring aspects of transport-induced gentrification across the project lifecycle: An NLP approach
2025Mottee L.K., Hong W.-T., Nelson J.D.gentrificationpublic engagementtransportation projects- Fu X., Brinkley C., Sanchez T.W., Li C. · Environment and Planning B: Urban Analytics and City Science, 52(3), 646-666natural language processingpublic participationurban densificationurban planning
Small Language Models for Public Administration: Towards Sustainable, Trustworthy, and Transparent AI Systems
2025Recanati F.ai governancelarge language modelspublic administrationsmall language models- Preussner A., Crescenza A., Schöning J., Mathis F.citizen participationcivic engagementurban planning
- Saranya G., Sivasangari V., Maheswari B.U.encoderllmragtrees
- Lilanlan, Heminzheng, Wangcuicui, Yangranrandomestic wastegovernment responsepublic petitiontext mining
- Düz S.
- Calzada I.algorithmic governancegenerative aipublic policytrustworthy ai
- Ataman C., Perrault S., Tunçer B.citizen engagementdata visualizationdigital participationspatial-temporal analysis
- Rokim M., Nadim M., Akopian D., Matamoros A.artificial intelligencecommunity research partnershipdocument matchinginformation retrieval
Developing Machine Learning Models for the Analysis of Citizens' Contributions from E-Participation
2025Borchers M., Habash D., Bittner E.citizen participationknowledge discoverymachine learningurban planning- Sathish K.artificial intelligencepublic servicesreal-time engagementsmart cities
- Zdradzisz M., Nowakowska M.participatory budgetingcivil societycase studynlp
Revolutionizing Public Sector Operations with Generative AI: Enhancing Efficiency, Optimizing Resources, and Empowering Data-Driven Decision-Making for Modern Governance
2025Nica E., Popescu G., Grupac M., Hurjui M.C., Parvu I.A.generative aipublic sector governancedata-driven decision-makingtransparency- Zhao H., Yang D.artificial intelligencepublic participationurban planning
- Amhaouch S., Elmouloudi M., Mkik M.artificial intelligencedigital twinsparticipatory planningsmart cities
- Khan R., Sathe S., Rambhad R., Shinde U.civic grievance redressale-governancemultilingual systemsnatural language processing
- P. S., Apparna C., Gayathri M.disaster resilienceemergency responsenatural language processingrisk assessment
- Hughes M., Overney C., Kamra A., Tepale J., Hamby E., Jasim M., Roy D.civic techcommunity engagementdata visualizationdemocracytransparency
- Saxena D., Kahn Z., Moon E.S.-Y., Chambers L.M., Jackson C., Lee M.K., Eslami M., Guha S., Erete S., Irani L., Mulligan D., Zimmerman J.ai governancecommunity engagementparticipatory designpublic sector
- Fishkin J. et al. · Perspectives on Politics, 23(2), 434-451deliberative democracyautomated deliberationdialoguevoters
- Park S., Yun S.-J., Cho K.energy justiceenergy transition conflictsoffshore wind farmparticipatory planning
- Wang R., Tang Y.governance modernizationgovernment–citizen interactionnatural language processing
- Shen C., Wang Y., Xu Y., Li X.government responsivenessonline participationpublic opinionsurban renewal
- Marceddu A., Miccoli M., Amicone A., Marangoni L., Risso A.citizen-centricpublic policy developmenttraffic accidentsvulnerable subjects
- Llovido J.L., Brogada M.A.D., Relucio F.S., Austero L.D., Maceda L.L., Abisado M.B.digital citizen participatione-participationmulti-platform systemssystem development
- Sintorn P.
- Suresh H., Tseng E., Young M., Gray M., Pierson E., Levy K.foundation modelsgovernancepublic participationstakeholders
- Tsai C.-H., Nandy G., House D., Carroll J.ai ethicscivic engagementcovidgovernance
- Borchers M., Gierlich-Joas M., Tavanapour N., Bittner E.A.C. · Design Science Research for a Resilient Future (DESRIST 2024), Springer, pp. 18-32citizen participationintelligent online participationurban planningdesign science
- Lee T., Paik W., Lim S., Lee S.Y.
- Chiu Y.-W., Huang H.-C., Lee C.-J., Hsieh H.-P.complaint analysisnatural language processingtext classificationtext extraction
- Wellings T.S., Majumdar S., Hänggli Fricker R., Pournaras E.data sciencelegitimacyparticipatory budgetingpolicy-making
- Nunes V., Cappelli C., Michel de Moraes R., Oliveira R., Costa da Silva J.L.
- Jungherr A. · Social Media + Society, 9(3)artificial intelligencedemocracyconceptual framework
- Berliner D. · SocArXiv preprintinformation processingparticipatory governance
- Acer U.G., Broeck M.V.D., Min C., Dasari M., Kawsar F.citizen engagementconversational agentedge aispontaneous interaction
- Gutiérrez-Zapata D.M., Cerón-Muñoz M.F., Barahona-Rosales R.citizen participationcommunitiesrural developmenttext mining
- Koh Y.F., Loc H.H., Park E.cultural ecosystem servicespublic participation gissocial media text miningurban green space
Enhancing Document Representations with Synonyms Graph Node Embeddings
2022Shaptala R., Kyselov G.document classificationdocument embeddingslow-resource nlpnode embeddingsIdentifying public values and spatial conflicts in urban planning
2022Herzog R.H., Goncalves J.E., Slingerland G., ..., Brazier F., Verma T.- Tseng Y.S.algorithmic empowermentdigital participationmachine learningparticipatory democracy
- Acer U.G., van den Broeck M., Min C.H., Dasari M., Kawsar F.citizen engagementconversational agentedge aispontaneous interaction
- Schering J., Gerdes L., Gómez J.M., Alfaro F.bicycle infrastructurecitizen sciencemunicipal reportingparticipation
- Skouloudakis A., Christopoulou E.e-democracyparticipatory budgetingsmart citysmart services
Convergence of Public Participation, Participatory Design and NLP to Co-Develop Circular Economy
2021Dyer M., Wu S., Weng M.-H.circular economynatural language processingparticipatory designpublic participation- Liu J., Yin H., Cao K., Hu S., Ouyang D., Chen Y.service quality evaluationurban parkurban planningweb text analysis
A value of civic voices for smart city: A big data analysis of civic queries posed by Seoul citizens
2021Kim B., Yoo M., Park K.C., Lee K.R., Kim J.H.automatic classificationcivil complaintsdynamic topic modelsmart city- Lieven C., Lüders B., Kulus D., Thoneick R.co-creationdigital participationnatural language processingurban planning
- Davies J., Arana-Catania M., Procter R., van Lier F.-A., He Y.digital participatory budgetingnatural language processing
- Bachiller S., Quijano-Sánchez L., Cantador I.citizen participationcivic technologiesdata clusteringdata visualization
Intellectual classifier development of citizens' messages on the "Our St. Petersburg" portal: Experience in using machine learning methods
2020Begen P., Chugunov A.artificial intelligenceclassifiere-participationmachine learning- Pitogo V.A., Ramos C.D.L.e-participationlexicon-basedsentiment analysisunsupervised machine learning
- Zhao Y., Zhou X., Wang T.government responseonline political deliberationresponsive government
- Spiliotopoulos D., Margaris D., Vassilakis C.e-governmentnatural language processingpolicy modellingtransparency
Smart City Services Monitoring Framework using Fuzzy Logic Based Sentiment Analysis and Apache Spark
2019Mohamed B., Abdelhadi F., Adil B., Haytam H.apache sparkbig datafuzzy logicsentiment analysissmart city- Zakzak L.citizen-centrichappiness agendasmart citiessocietal data-driven policy
- Misra A., Misra D.P., Mahapatra S.S., Biswas S.digital transformationmygovparticipatory governancesentiment analysistext mining
- Liston V., Harris C., O'Toole M. · Policy & Internet, 5(4), 462-485democratic theorypolicy deliberationsinternet technologies