{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T08:32:26Z","timestamp":1769589146734,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,13]]},"DOI":"10.1145\/3716554.3716834","type":"proceedings-article","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T12:05:02Z","timestamp":1748433902000},"page":"358-363","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["From Volunteers to Voters: Machine Learning Insights into Citizen Engagement"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1088-7648","authenticated-orcid":false,"given":"Rozita","family":"Tsoni","sequence":"first","affiliation":[{"name":"School Of Science and Technology, Hellenic Open University, Patras, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9921-9656","authenticated-orcid":false,"given":"Maria","family":"Tolika","sequence":"additional","affiliation":[{"name":"Ecole Superieure du Commerce Exterieure IBS, Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3878-5988","authenticated-orcid":false,"given":"Dimitris","family":"Karapiperis","sequence":"additional","affiliation":[{"name":"International Hellenic University, Thessaloniki, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9758-0819","authenticated-orcid":false,"given":"Vassilios","family":"Verykios","sequence":"additional","affiliation":[{"name":"Hellenic Open University, Patras, Greece"}]}],"member":"320","published-online":{"date-parts":[[2025,5,28]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Ekman J. Amn\u00e5 E.(2012) Political participation and civic engagement: Towards a new typology Human Affairs 22(3) 283\u2013300. 10.2478\/s13374-012-0024-1.","DOI":"10.2478\/s13374-012-0024-1"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"McFarland D. A. Thomas R. J. (2006) Bowling young: How youth voluntary associations influence adult political participation American Sociological Review 71(3) 401-425. 10.1177\/000312240607100303","DOI":"10.1177\/000312240607100303"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Putnam R.D. (2000) Bowling alone: The collapse and revival of American community New York NY: Simon and Schuster.","DOI":"10.1145\/358916.361990"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Smith K. R. (2009) Civic engagement and volunteering: How volunteer experiences shape political participation Political Behavior 31(4) 545-560. 10.1007\/s11109-009-9082-8.","DOI":"10.1007\/s11109-009-9082-8"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Tsoni R. Kaldis V. Kapogianni I. Sakagianni A. Feretzakis G. Verykios V. S. (2023). A Machine Learning pipeline using KNIME to predict hospital admission in the MIMIC-IV Database 2023 14th International Conference on Information Intelligence Systems & Applications (IISA) 1\u20136. IEEE.","DOI":"10.1109\/IISA59645.2023.10345903"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Feretzakis G. Sakagianni A. Anastasiou A. Kapogianni I. Tsoni R. Koufopoulou C. Karapiperis D. Kaldis V. Kalles D. Verykios V. S. (2024). Machine Learning in Medical Triage: A Predictive Model for Emergency Department Disposition Applied Sciences 14(15) 6623. MDPI.","DOI":"10.3390\/app14156623"},{"key":"e_1_3_3_1_8_2","unstructured":"Semenov A. Zhang Y. Ponti M. (2022). Who will stay? Using Deep Learning to predict engagement of citizen scientists arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2204.14046."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Tolika M. Tsoni R. Karapiperis D. Verykios V. (2024). Predicting Electoral Behavior from Homo Economicus in Contemporary Europe IISA 2024.","DOI":"10.1109\/IISA62523.2024.10786700"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Chen S.-Q. Bai J. (2023). Data-driven decision-making model for determining the number of volunteers required in typhoon disasters Journal of Safety Science and Resilience 4(3) 229\u2013240. Elsevier.","DOI":"10.1016\/j.jnlssr.2023.03.001"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Huang A. Sun Y. (2020). An Intelligent and Data-Driven Mobile Platform for Youth Volunteer Management using Machine Learning and Predictive Analytics CS & IT Conference Proceedings 10(15).","DOI":"10.5121\/csit.2020.101515"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Franzen M. Kloetzer L. Ponti M. Trojan J. Vicens J. (2021). Machine learning in citizen science: Promises and implications The Science of Citizen Science 183. Springer Cham Switzerland.","DOI":"10.1007\/978-3-030-58278-4_10"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"de-Miguel-Molina B. Boix-Domenech R. Mart\u00ednez-Villanueva G. de-Miguel-Molina M. (2024). Predicting volunteers\u2019 decisions to stay in or quit an NGO using neural networks VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations 35(2) 277\u2013291. Springer.","DOI":"10.1007\/s11266-023-00590-y"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Quinlan J. R. (1996) Learning decision tree classifiers ACM Computing Surveys (CSUR) 28 (1) 71-72.","DOI":"10.1145\/234313.234346"},{"key":"e_1_3_3_1_15_2","unstructured":"Kononenko I. (1998). The minimum description length-based decision tree pruning PRICAI\u201998: Topics in Artificial Intelligence: 5th Pacific Rim International Conference on Artificial Intelligence Singapore November 22\u201327 1998 Proceedings 5. Springer Berlin Heidelberg."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Breiman L. (1996). Bagging predictors Machine Learning 24 123\u2013140.","DOI":"10.1007\/BF00058655"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Braga P. L. Oliveira A. L. I. Meira S. R. L. Carvalho S. V. R. (2007). Bagging predictors for estimation of software project effort 2007 International Joint Conference on Neural Networks. IEEE.","DOI":"10.1109\/IJCNN.2007.4371196"},{"key":"e_1_3_3_1_18_2","unstructured":"Breiman L. (1997). Arcing the edge Technical Report 486 Statistics Department University of California at Berkeley."},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Schapire R. E. (1990). The strength of weak learnability Machine Learning 5 197\u2013227.","DOI":"10.1007\/BF00116037"},{"key":"e_1_3_3_1_20_2","unstructured":"Drucker H. Schapire R. E. Simard P. (1992). Improving performance in neural networks using a boosting algorithm Advances in Neural Information Processing Systems 5."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Scacco A. Warren S. S. (2018). Can Social Contact Reduce Prejudice and Discrimination? Evidence from a Field Experiment in Nigeria American Political Science Review 112(3) 654\u2013677.","DOI":"10.1017\/S0003055418000151"},{"key":"e_1_3_3_1_22_2","unstructured":"Pancer S. M. Pratt M. W. (2020). The Psychology of Citizenship and Civic Engagement Oxford University Press."},{"key":"e_1_3_3_1_23_2","unstructured":"Smith K. R. (2009) Civic engagement and volunteering: How volunteer experiences shape political participation Political Behavior 31(4) 545-560."},{"key":"e_1_3_3_1_24_2","unstructured":"Quinlan J. R. (2014). C4.5: Programs for Machine Learning Elsevier."},{"key":"e_1_3_3_1_25_2","unstructured":"Shafer J. Agrawal R. Mehta M. (1996). SPRINT: A scalable parallel classifier for data mining VLDB 96."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Friedman J. H. (2001). Greedy function approximation: A gradient boosting machine Annals of Statistics 1189\u20131232.","DOI":"10.1214\/aos\/1013203451"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Hastie T. Tibshirani R. Friedman J. (2009). The Elements of Statistical Learning: Data Mining Inference and Prediction Vol. 2. New York: Springer.","DOI":"10.1007\/978-0-387-84858-7"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Piryonesi S. M. El-Diraby T. E. (2021). Using machine learning to examine impact of type of performance indicator on flexible pavement deterioration modeling Journal of Infrastructure Systems 27(2) 04021005.","DOI":"10.1061\/(ASCE)IS.1943-555X.0000602"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Piryonesi S. M. El-Diraby T. E. (2020). Data analytics in asset management: Cost-effective prediction of the pavement condition index Journal of Infrastructure Systems 26(1) 04019036.","DOI":"10.1061\/(ASCE)IS.1943-555X.0000512"},{"key":"e_1_3_3_1_30_2","unstructured":"Breiman L. Friedman J. Olshen R. A. Stone C. J. (1984). Classification and Regression Trees Wadsworth & Brooks\/Cole Statistics\/Probability Series."},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Breiman L. (2001). Random forests Machine Learning 45 5\u201332.","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_3_1_32_2","unstructured":"Young M. (1989). The Technical Writer\u2019s Handbook Mill Valley CA: University Science."}],"event":{"name":"PCI 2024: 28th Pan-Hellenic Conference on Progress in Computing and Informatics","location":"Athens Greece","acronym":"PCI 2024"},"container-title":["Proceedings of the 28th Pan-Hellenic Conference on Progress in Computing and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3716554.3716834","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3716554.3716834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:19:11Z","timestamp":1750295951000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3716554.3716834"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,13]]},"references-count":31,"alternative-id":["10.1145\/3716554.3716834","10.1145\/3716554"],"URL":"https:\/\/doi.org\/10.1145\/3716554.3716834","relation":{},"subject":[],"published":{"date-parts":[[2024,12,13]]},"assertion":[{"value":"2025-05-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}