{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:42:59Z","timestamp":1742971379776,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031371257"},{"type":"electronic","value":"9783031371264"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-37126-4_40","type":"book-chapter","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T23:04:56Z","timestamp":1687993496000},"page":"624-638","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["(Pseudo-)3D Inversion of Geophysical Electromagnetic Induction Data by Using an Arbitrary Prior and Constrained to Ancillary Information"],"prefix":"10.1007","author":[{"given":"Nicola","family":"Zaru","sequence":"first","affiliation":[]},{"given":"Matteo","family":"Rossi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8161-7667","authenticated-orcid":false,"given":"Giuseppina","family":"Vacca","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3437-5826","authenticated-orcid":false,"given":"Giulio","family":"Vignoli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,29]]},"reference":[{"issue":"6","key":"40_CR1","doi-asserted-by":"publisher","first-page":"E357","DOI":"10.1190\/geo2016-0518.1","volume":"82","author":"J Guillemoteau","year":"2017","unstructured":"Guillemoteau, J., Christensen, N.B., Jacobsen, B.H., Tronicke, J.: Fast 3D multichannel deconvolution of electromagnetic induction loop-loop apparent conductivity data sets acquired at low induction numbers. Geophysics 82(6), E357\u2013E369 (2017)","journal-title":"Geophysics"},{"issue":"14","key":"40_CR2","doi-asserted-by":"publisher","first-page":"3922","DOI":"10.3390\/s20143922","volume":"20","author":"T Koganti","year":"2020","unstructured":"Koganti, T., Van De Vijver, E., Allred, B.J., Greve, M.H., Ringgaard, J., Iversen, B.V.: Mapping of agricultural subsurface drainage systems using a frequency-domain ground penetrating radar and evaluating its performance using a single-frequency multi-receiver electromagnetic induction instrument. Sensors 20(14), 3922 (2020)","journal-title":"Sensors"},{"issue":"1","key":"40_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2113\/JEEG22.1.1","volume":"22","author":"EV Karshakov","year":"2017","unstructured":"Karshakov, E.V., Podmogov, Y.G., Kertsman, V.M., Moilanen, J.: Combined frequency domain and time domain airborne data for environmental and engineering challenges. J. Environ. Eng. Geophys. 22(1), 1\u201311 (2017)","journal-title":"J. Environ. Eng. Geophys."},{"issue":"1","key":"40_CR4","doi-asserted-by":"publisher","first-page":"F1","DOI":"10.1190\/1.2374706","volume":"72","author":"C Yin","year":"2007","unstructured":"Yin, C., Hodges, G.: 3D animated visualization of EM diffusion for a frequency-domain helicopter EM system. Geophysics 72(1), F1\u2013F7 (2007)","journal-title":"Geophysics"},{"issue":"6","key":"40_CR5","doi-asserted-by":"publisher","first-page":"1888","DOI":"10.1190\/1.1635041","volume":"68","author":"IJ Won","year":"2003","unstructured":"Won, I.J., Oren, A., Funak, F.: GEM-2A: A programmable broadband helicopter-towed electromagnetic sensorGEM-2A HEM Sensor. Geophysics 68(6), 1888\u20131895 (2003)","journal-title":"Geophysics"},{"issue":"2","key":"40_CR6","doi-asserted-by":"publisher","first-page":"349","DOI":"10.5194\/se-11-349-2020","volume":"11","author":"EA Dzikunoo","year":"2020","unstructured":"Dzikunoo, E.A., Vignoli, G., J\u00f8rgensen, F., Yidana, S.M., Banoeng-Yakubo, B.: New regional stratigraphic insights from a 3D geological model of the Nasia sub-basin, Ghana, developed for hydrogeological purposes and based on reprocessed B-field data originally collected for mineral exploration. Solid Earth 11(2), 349\u2013361 (2020)","journal-title":"Solid Earth"},{"issue":"4","key":"40_CR7","doi-asserted-by":"publisher","first-page":"481","DOI":"10.3997\/1873-0604.2014012","volume":"12","author":"J Thiesson","year":"2014","unstructured":"Thiesson, J., Kessouri, P., Schamper, C., Tabbagh, A.: Calibration of frequency-domain electromagnetic devices used in near-surface surveying. Near Surface Geophys. 12(4), 481\u2013491 (2014)","journal-title":"Near Surface Geophys."},{"issue":"2","key":"40_CR8","doi-asserted-by":"publisher","first-page":"E95","DOI":"10.1190\/geo2012-0244.1","volume":"78","author":"N Foged","year":"2013","unstructured":"Foged, N., Auken, E., Christiansen, A.V., S\u00f8rensen, K.I.: Test-site calibration and validation of airborne and ground-based TEM systems. Geophysics 78(2), E95\u2013E106 (2013)","journal-title":"Geophysics"},{"issue":"2","key":"40_CR9","doi-asserted-by":"publisher","first-page":"G27","DOI":"10.1190\/1.2187741","volume":"71","author":"Y Ley-Cooper","year":"2006","unstructured":"Ley-Cooper, Y., Macnae, J., Robb, T., Vrbancich, J.: Identification of calibration errors in helicopter electromagnetic (HEM) data through transform to the altitude-corrected phase-amplitude domain. Geophysics 71(2), G27\u2013G34 (2006)","journal-title":"Geophysics"},{"issue":"3","key":"40_CR10","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.2136\/sssaj2000.6431009x","volume":"64","author":"J Triantafilis","year":"2000","unstructured":"Triantafilis, J., Laslett, G.M., McBratney, A.B.: Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton. Soil Sci. Soc. Am. J. 64(3), 1009\u20131017 (2000)","journal-title":"Soil Sci. Soc. Am. J."},{"key":"40_CR11","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.jappgeo.2012.01.008","volume":"80","author":"BJ Minsley","year":"2012","unstructured":"Minsley, B.J., Smith, B.D., Hammack, R., Sams, J.I., Veloski, G.: Calibration and filtering strategies for frequency domain electromagnetic data. J. Appl. Geophys. 80, 56\u201366 (2012)","journal-title":"J. Appl. Geophys."},{"issue":"19","key":"40_CR12","doi-asserted-by":"publisher","first-page":"3881","DOI":"10.3390\/rs13193881","volume":"13","author":"P Bai","year":"2021","unstructured":"Bai, P., Vignoli, G., Hansen, T.M.: 1D stochastic inversion of airborne time-domain electromagnetic data with realistic prior and accounting for the forward modeling error. Remote Sensing 13(19), 3881 (2021)","journal-title":"Remote Sensing"},{"issue":"3","key":"40_CR13","doi-asserted-by":"publisher","first-page":"H1","DOI":"10.1190\/geo2013-0215.1","volume":"79","author":"TM Hansen","year":"2014","unstructured":"Hansen, T.M., Cordua, K.S., Jacobsen, B.H., Mosegaard, K.: Accounting for imperfect forward modeling in geophysical inverse problems\u2014exemplified for crosshole tomography. Geophysics 79(3), H1\u2013H21 (2014)","journal-title":"Geophysics"},{"issue":"2","key":"40_CR14","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1071\/EG08027","volume":"40","author":"A Viezzoli","year":"2009","unstructured":"Viezzoli, A., Auken, E., Munday, T.: Spatially constrained inversion for quasi 3D modelling of airborne electromagnetic data\u2013an application for environmental assessment in the Lower Murray Region of South Australia. Explor. Geophys. 40(2), 173\u2013183 (2009)","journal-title":"Explor. Geophys."},{"issue":"6","key":"40_CR15","doi-asserted-by":"publisher","first-page":"G301","DOI":"10.1190\/1.2356112","volume":"71","author":"R Brodie","year":"2006","unstructured":"Brodie, R., Sambridge, M.: A holistic approach to inversion of frequency-domain airborne EM data. Geophysics 71(6), G301\u2013G312 (2006)","journal-title":"Geophysics"},{"key":"40_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2020.104561","volume":"146","author":"P McLachlan","year":"2021","unstructured":"McLachlan, P., Blanchy, G., Binley, A.: EMagPy: open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data. Comput. Geosci. 146, 104561 (2021)","journal-title":"Comput. Geosci."},{"issue":"1","key":"40_CR17","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1111\/1365-2478.12185","volume":"63","author":"G Vignoli","year":"2015","unstructured":"Vignoli, G., Fiandaca, G., Christiansen, A.V., Kirkegaard, C., Auken, E.: Sharp spatially constrained inversion with applications to transient electromagnetic data. Geophys. Prospect. 63(1), 243\u2013255 (2015)","journal-title":"Geophys. Prospect."},{"key":"40_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2021.104519","volume":"196","author":"T Klose","year":"2022","unstructured":"Klose, T., Guillemoteau, J., Vignoli, G., Tronicke, J.: Laterally constrained inversion (LCI) of multi-configuration EMI data with tunable sharpness. J. Appl. Geophys. 196, 104519 (2022)","journal-title":"J. Appl. Geophys."},{"issue":"1","key":"40_CR19","doi-asserted-by":"publisher","first-page":"51","DOI":"10.2113\/JEEG22.1.51","volume":"22","author":"G Vignoli","year":"2017","unstructured":"Vignoli, G., Sapia, V., Menghini, A., Viezzoli, A.: Examples of improved inversion of different airborne electromagnetic datasets via sharp regularization. J. Environ. Eng. Geophys. 22(1), 51\u201361 (2017)","journal-title":"J. Environ. Eng. Geophys."},{"issue":"1","key":"40_CR20","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1071\/EG14045","volume":"46","author":"AY Ley-Cooper","year":"2015","unstructured":"Ley-Cooper, A.Y., et al.: Airborne electromagnetic modelling options and their consequences in target definition. Explor. Geophys. 46(1), 74\u201384 (2015)","journal-title":"Explor. Geophys."},{"issue":"3","key":"40_CR21","doi-asserted-by":"publisher","first-page":"1938","DOI":"10.1093\/gji\/ggad041","volume":"233","author":"T Klose","year":"2023","unstructured":"Klose, T., Guillemoteau, J., Vignoli, G., Walter, J., Herrmann, A., Tronicke, J.: Structurally constrained inversion by means of a Minimum Gradient Support regularizer: examples of FD-EMI data inversion constrained by GPR reflection data. Geophys. J. Int. 233(3), 1938\u20131949 (2023)","journal-title":"Geophys. J. Int."},{"key":"40_CR22","unstructured":"Pagliara, G., Vignoli, G.: Focusing inversion techniques applied to electrical resistance tomography in an experimental tank. In: XI International Congress Proceedings of the International Association for Mathematical Geology, Liege, Belgium (2006)"},{"key":"40_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2021.104286","volume":"187","author":"R Thibaut","year":"2021","unstructured":"Thibaut, R., Kremer, T., Royen, A., Ngun, B.K., Nguyen, F., Hermans, T.: A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data. J. Appl. Geophys. 187, 104286 (2021)","journal-title":"J. Appl. Geophys."},{"issue":"2","key":"40_CR24","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1093\/gji\/ggv350","volume":"203","author":"G Fiandaca","year":"2015","unstructured":"Fiandaca, G., Doetsch, J., Vignoli, G., Auken, E.: Generalized focusing of time-lapse changes with applications to direct current and time-domain induced polarization inversions. Geophys. J. Int. 203(2), 1101\u20131112 (2015)","journal-title":"Geophys. J. Int."},{"key":"40_CR25","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.cageo.2013.01.008","volume":"54","author":"M Karaoulis","year":"2013","unstructured":"Karaoulis, M., Revil, A., Tsourlos, P., Werkema, D.D., Minsley, B.J.: IP4DI: a software for time-lapse 2D\/3D DC-resistivity and induced polarization tomography. Comput. Geosci. 54, 164\u2013170 (2013)","journal-title":"Comput. Geosci."},{"issue":"1","key":"40_CR26","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1093\/gji\/ggu001","volume":"197","author":"J Zhou","year":"2014","unstructured":"Zhou, J., Revil, A., Karaoulis, M., Hale, D., Doetsch, J., Cuttler, S.: Image-guided inversion of electrical resistivity data. Geophys. J. Int. 197(1), 292\u2013309 (2014)","journal-title":"Geophys. J. Int."},{"issue":"3","key":"40_CR27","doi-asserted-by":"publisher","first-page":"1935","DOI":"10.1093\/gji\/ggab068","volume":"225","author":"G Vignoli","year":"2021","unstructured":"Vignoli, G., Guillemoteau, J., Barreto, J., Rossi, M.: Reconstruction, with tunable sparsity levels, of shear wave velocity profiles from surface wave data. Geophys. J. Int. 225(3), 1935\u20131951 (2021)","journal-title":"Geophys. J. Int."},{"issue":"1","key":"40_CR28","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1093\/gji\/ggaa491","volume":"224","author":"TM Hansen","year":"2021","unstructured":"Hansen, T.M.: Efficient probabilistic inversion using the rejection sampler - exemplified on airborne EM data. Geophys. J. Int. 224(1), 543\u2013557 (2021)","journal-title":"Geophys. J. Int."},{"issue":"2","key":"40_CR29","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1093\/gji\/ggz230","volume":"218","author":"TM Hansen","year":"2019","unstructured":"Hansen, T.M., Minsley, B.J.: Inversion of airborne EM data with an explicit choice of prior model. Geophys. J. Int. 218(2), 1348\u20131366 (2019)","journal-title":"Geophys. J. Int."},{"issue":"B7","key":"40_CR30","doi-asserted-by":"publisher","first-page":"12431","DOI":"10.1029\/94JB03097","volume":"100","author":"K Mosegaard","year":"1995","unstructured":"Mosegaard, K., Tarantola, A.: Monte Carlo sampling of solutions to inverse problems. J. Geophys. Res. Solid Earth 100(B7), 12431\u201312447 (1995)","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"40_CR31","unstructured":"Tikhonov, A.N., Arsenin, V.Y.: Solutions of Ill-Posed Problems, 1st edn. V. H. Winston & Sons, Washington, U.S.A. (1977)"},{"key":"40_CR32","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.cageo.2017.07.011","volume":"109","author":"C R\u00fccker","year":"2017","unstructured":"R\u00fccker, C., G\u00fcnther, T., Wagner, F.M.: pyGIMLi: an open-source library for modelling and inversion in geophysics. Comput. Geosci. 109, 106\u2013123 (2017)","journal-title":"Comput. Geosci."},{"issue":"12","key":"40_CR33","doi-asserted-by":"publisher","first-page":"6069","DOI":"10.5194\/hess-21-6069-2017","volume":"21","author":"AS H\u00f8yer","year":"2017","unstructured":"H\u00f8yer, A.S., Vignoli, G., Hansen, T.M., Vu, L.T., Keefer, D.A., J\u00f8rgensen, F.: Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies. Hydrol. Earth Syst. Sci. 21(12), 6069\u20136089 (2017)","journal-title":"Hydrol. Earth Syst. Sci."},{"issue":"20","key":"40_CR34","doi-asserted-by":"publisher","first-page":"3440","DOI":"10.3390\/rs12203440","volume":"12","author":"P Bai","year":"2020","unstructured":"Bai, P., Vignoli, G., Viezzoli, A., Nevalainen, J., Vacca, G.: (Quasi-) real-time inversion of airborne time-domain electromagnetic data via artificial neural network. Remote Sens. 12(20), 3440 (2020)","journal-title":"Remote Sens."},{"key":"40_CR35","doi-asserted-by":"publisher","unstructured":"Neal, R.M.: Bayesian Learning for Neural Networks, vol. 118. Springer, Germany (2012). https:\/\/doi.org\/10.1007\/978-1-4612-0745-0","DOI":"10.1007\/978-1-4612-0745-0"},{"issue":"2","key":"40_CR36","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1088\/1742-2132\/3\/2\/003","volume":"3","author":"MS Zhdanov","year":"2006","unstructured":"Zhdanov, M.S., Vignoli, G., Ueda, T.: Sharp boundary inversion in crosswell travel-time tomography. J. Geophys. Eng. 3(2), 122\u2013134 (2006)","journal-title":"J. Geophys. Eng."},{"key":"40_CR37","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.marpetgeo.2016.06.006","volume":"77","author":"KL Haynie","year":"2016","unstructured":"Haynie, K.L., Khan, S.D.: Shallow subsurface detection of buried weathered hydrocarbons using GPR and EMI. Mar. Pet. Geol. 77, 116\u2013123 (2016)","journal-title":"Mar. Pet. Geol."},{"issue":"1","key":"40_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s41748-017-0010-1","volume":"1","author":"M Rashed","year":"2017","unstructured":"Rashed, M., Niyazi, B.: Environmental impact assessment of the former Al-Musk lake wastewater dumpsite using electromagnetic induction technique. Earth Syst. Environ. 1(1), 1\u201310 (2017)","journal-title":"Earth Syst. Environ."},{"key":"40_CR39","unstructured":"Torin, L., Davidsson, L., Nilsson, M.: Inledandeprojektering av Nisses kemtv\u00e4tt i Osby. Report for Sveriges Geologiska Unders\u00f6kning by WSP Environmental Sverige, Sweden (2021)"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2023 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-37126-4_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T15:10:26Z","timestamp":1702653026000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-37126-4_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031371257","9783031371264"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-37126-4_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"29 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Custom based on Cyberchair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"283","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"67","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PHD Showcase Papers: 6(for main conf) \/ For ICCSA 2023 Workshops 876 subm sent, 350 full papers and 29 short papers accepted, additional PHD Showcase Papers: 2","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}