{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T11:29:00Z","timestamp":1750246140157,"version":"3.40.3"},"publisher-location":"Cham","reference-count":51,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030589561"},{"type":"electronic","value":"9783030589578"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58957-8_14","type":"book-chapter","created":{"date-parts":[[2020,9,5]],"date-time":"2020-09-05T11:02:51Z","timestamp":1599303771000},"page":"189-203","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Process Model for Generating and Evaluating Ideas: The Use of Machine Learning and Visual Analytics to Support Idea Mining"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8354-4158","authenticated-orcid":false,"given":"Workneh Y.","family":"Ayele","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2922-2286","authenticated-orcid":false,"given":"Gustaf","family":"Juell-Skielse","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,6]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Hope, T., Chan, J., Kittur, A., Shahaf, D.: Accelerating innovation through analogy mining. In: 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD, Part F1296, pp. 235\u2013243 (2017)","DOI":"10.1145\/3097983.3098038"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Hope, T., Chan, J., Kittur, A., Shahaf, D.: Accelerating innovation through analogy mining. In: 27th International Joint Conference on Artificial Intelligence, IJCAI, pp. 5274\u20135278 (2018)","DOI":"10.24963\/ijcai.2018\/736"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Alksher, M.A., Azman, A., Yaakob, R., Kadir, R.A., Mohamed, A., Alshari, E.M.: A review of methods for mining idea from text. In: Third International Conference on Information Retrieval and Knowledge Management (CAMP), pp. 88\u201393. IEEE (2016)","DOI":"10.1109\/INFRKM.2016.7806341"},{"issue":"10","key":"14_CR4","doi-asserted-by":"publisher","first-page":"7182","DOI":"10.1016\/j.eswa.2010.04.013","volume":"37","author":"D Thorleuchter","year":"2010","unstructured":"Thorleuchter, D., Van den Poel, D., Prinzie, A.: Mining ideas from textual information. Expert Syst. Appl. 37(10), 7182\u20137188 (2010)","journal-title":"Expert Syst. Appl."},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.techfore.2017.04.004","volume":"120","author":"T Ogawa","year":"2017","unstructured":"Ogawa, T., Kajikawa, Y.: Generating novel research ideas using computational intelligence: a case study involving fuel cells and ammonia synthesis. Technol. Forecast. Soc. Chang. 120, 41\u201347 (2017)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.futures.2014.12.007","volume":"66","author":"D Thorleuchter","year":"2015","unstructured":"Thorleuchter, D., Van den Poel, D.: Idea mining for web-based weak signal detection. Futures 66, 25\u201334 (2015)","journal-title":"Futures"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Puccio, G.J., Cabra, J.F.: Idea generation and idea evaluation: cognitive skills and deliberate practices. In: Handbook of Organizational Creativity, pp. 189\u2013215. Academic Press (2012)","DOI":"10.1016\/B978-0-12-374714-3.00009-4"},{"issue":"2","key":"14_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1002\/j.2162-6057.1998.tb00810.x","volume":"32","author":"GF Smith","year":"1998","unstructured":"Smith, G.F.: Idea-generation techniques: a formulary of active ingredients. J. Creat. Behav. 32(2), 107\u2013134 (1998)","journal-title":"J. Creat. Behav."},{"key":"14_CR9","unstructured":"Rohrbeck, R.: Technology scouting-a case study on the Deutsche Telekom Laboratories. In: ISPIM-Asia Conference (2007)"},{"issue":"6","key":"14_CR10","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1111\/j.1540-5885.2009.00691.x","volume":"26","author":"J Bj\u00f6rk","year":"2009","unstructured":"Bj\u00f6rk, J., Magnusson, M.: Where do good innovation ideas come from? Exploring the influence of network connectivity on innovation idea quality. J. Prod. Innov. Manag. 26(6), 662\u2013670 (2009)","journal-title":"J. Prod. Innov. Manag."},{"key":"14_CR11","unstructured":"Kruse, P., Schieber, A., Hilbert, A., Schoop, E.: Idea mining\u2013text mining supported knowledge management for innovation purposes. In: AMCIS (2013)"},{"key":"14_CR12","unstructured":"Rhyn, M., Blohm, I., Leimeister, J.M.: Understanding the emergence and recombination of distant knowledge on crowdsourcing platforms. In: 38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS (2018)"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Bloom, N., Jones, C.I., Van Reenen, J., Webb, M.: Are ideas getting harder to find? (w23782). National Bureau of Economic Research (2017)","DOI":"10.3386\/w23782"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Sandberg, A.B., Crnkovic, I.: Meeting industry-academia research collaboration challenges with agile methodologies. In: IEEE\/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP), pp. 73\u201382 (2017)","DOI":"10.1109\/ICSE-SEIP.2017.20"},{"issue":"6","key":"14_CR15","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1094\/CFW-62-6-0264","volume":"62","author":"K Brijs","year":"2017","unstructured":"Brijs, K.: Collaboration between academia and industry: KU Leuven. Cereal Foods World 62(6), 264\u2013266 (2017)","journal-title":"Cereal Foods World"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Debortoli, S., M\u00fcller, O., Junglas, I.A., vom Brocke, J.: Text mining for information systems researchers: an annotated topic modeling tutorial. In: CAIS, vol. 39, no. 1, p. 7 (2016)","DOI":"10.17705\/1CAIS.03907"},{"issue":"4","key":"14_CR17","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1111\/poms.12664","volume":"26","author":"LJ Kornish","year":"2017","unstructured":"Kornish, L.J., Hutchison-Krupat, J.: Research on idea generation and selection: implications for management of technology. Prod. Oper. Manag. 26(4), 633\u2013651 (2017)","journal-title":"Prod. Oper. Manag."},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Steingrimsson, B., Yi, S., Jones, R., Kisialiou, M., Yi, K., Rose, Z.: Big Data Analytics for Improving Fidelity of Engineering Design Decisions. SAE Technical Paper (2018)","DOI":"10.4271\/2018-01-1200"},{"issue":"4","key":"14_CR19","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1145\/2133806.2133826","volume":"55","author":"DM Blei","year":"2012","unstructured":"Blei, D.M.: Probabilistic topic models. Commun. ACM 55(4), 77\u201384 (2012)","journal-title":"Commun. ACM"},{"key":"14_CR20","unstructured":"Wirth, R., Hipp, J.: CRISP-DM: towards a standard process model for data mining. In: Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining, pp. 29\u201339 (2000)"},{"key":"14_CR21","unstructured":"Asamoah, D.A., Sharda, R.: Adapting CRISP-DM process for social network analytics: application to healthcare. AMCIS (2015)"},{"issue":"6","key":"14_CR22","first-page":"20","volume":"11","author":"WY Ayele","year":"2020","unstructured":"Ayele, W.Y.: Adapting CRISP-DM for idea mining: a data mining process for generating ideas using a textual dataset. Int. J. Adv. Comput. Sci. Appl. 11(6), 20\u201332 (2020)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"14_CR23","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1007\/978-3-030-39445-5_37","volume-title":"Advances in Information and Communication","author":"WY Ayele","year":"2020","unstructured":"Ayele, W.Y., Juell-Skielse, G.: Eliciting evolving topics, trends and foresight about self-driving cars using dynamic topic modeling. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FICC 2020. AISC, vol. 1129, pp. 488\u2013509. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-39445-5_37"},{"key":"14_CR24","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/978-3-030-17798-0_29","volume-title":"Advances in Computer Vision","author":"WY Ayele","year":"2020","unstructured":"Ayele, W.Y., Akram, I.: Identifying emerging trends and temporal patterns about self-driving cars in scientific literature. In: Arai, K., Kapoor, S. (eds.) CVC 2019. AISC, vol. 944, pp. 355\u2013372. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-17798-0_29"},{"key":"14_CR25","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1007\/978-3-319-23525-7_33","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"H Liu","year":"2015","unstructured":"Liu, H., Goulding, J., Brailsford, T.: Towards computation of novel ideas from corpora of scientific text. In: Appice, A., Rodrigues, P.P., Santos Costa, V., Gama, J., Jorge, A., Soares, C. (eds.) ECML PKDD 2015. LNCS (LNAI), vol. 9285, pp. 541\u2013556. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23525-7_33"},{"key":"14_CR26","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-319-01056-4_5","volume-title":"Management of the Fuzzy Front End of Innovation","author":"R Rohrbeck","year":"2014","unstructured":"Rohrbeck, R.: Trend scanning, scouting and foresight techniques. In: Gassmann, O., Schweitzer, F. (eds.) Management of the Fuzzy Front End of Innovation, pp. 59\u201373. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-01056-4_5"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Kao, S.C., Wu, C.H., Syu, S.W.: A creative idea exploration model: based on customer complaints. In: 5th MISNC (2018)","DOI":"10.1145\/3227696.3227710"},{"key":"14_CR28","unstructured":"McIntosh, T., Mulhearn, T.J., Mumford, M.D.: Taking the good with the bad: the impact of forecasting timing and valence on idea evaluation and creativity. Psychol. Aesthet. Creat. Arts (2019)"},{"key":"14_CR29","unstructured":"Stevanovic, M., Marjanovic, D., Storga, M.: A model of idea evaluation and selection for product innovation. In: DS 80-8 Proceedings of the 20th International Conference on Engineering Design: Innovation and Creativity, vol. 15, no. 8, pp. 193\u2013202 (2015)"},{"issue":"10","key":"14_CR30","first-page":"646","volume":"7","author":"DL Dean","year":"2006","unstructured":"Dean, D.L., Hender, J., Rodgers, T., Santanen, E.: Identifying good ideas: constructs and scales for idea evaluation. J. Assoc. Inf. Syst. 7(10), 646\u2013699 (2006)","journal-title":"J. Assoc. Inf. Syst."},{"key":"14_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3597-6","volume-title":"Models, Methods, Concepts & Applications of the Analytic Hierarchy Process","author":"TL Saaty","year":"2012","unstructured":"Saaty, T.L., Vargas, L.G.: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Springer, New York (2012). https:\/\/doi.org\/10.1007\/978-1-4614-3597-6"},{"issue":"5","key":"14_CR32","first-page":"511","volume":"1","author":"A Afshari","year":"2010","unstructured":"Afshari, A., Mojahed, M., Yusuff, R.M.: Simple additive weighting approach to personnel selection problem. Int. J. Innov. Manag. Technol. 1(5), 511 (2010)","journal-title":"Int. J. Innov. Manag. Technol."},{"key":"14_CR33","doi-asserted-by":"crossref","unstructured":"Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press. Cambridge (2007)","DOI":"10.1017\/CBO9780511546914"},{"key":"14_CR34","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/978-1-4614-3223-4_12","volume-title":"Mining Text Data","author":"X Hu","year":"2012","unstructured":"Hu, X., Liu, H.: Text analytics in social media. In: Aggarwal, C., Zhai, C. (eds.) Mining Text Data, pp. 385\u2013414. Springer, Boston (2012). https:\/\/doi.org\/10.1007\/978-1-4614-3223-4_12"},{"key":"14_CR35","unstructured":"Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O\u2019Reilly Media, Inc. (2009)"},{"issue":"3","key":"14_CR36","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1016\/j.eswa.2013.08.015","volume":"41","author":"G Sidorov","year":"2014","unstructured":"Sidorov, G., Velasquez, F., Stamatatos, E., Gelbukh, A., Chanona-Hern\u00e1ndez, L.: Syntactic n-grams as machine learning features for natural language processing. Expert Syst. Appl. 41(3), 853\u2013860 (2014)","journal-title":"Expert Syst. Appl."},{"key":"14_CR37","doi-asserted-by":"crossref","unstructured":"AlSumait, L., Barbar\u00e1, D., Domeniconi, C.: On-line LDA: adaptive topic models for mining text streams with applications to topic detection and tracking. In: Eighth IEEE International Conference on Data Mining. ICDM 2008, pp. 3\u201312 (2008). IEEE","DOI":"10.1109\/ICDM.2008.140"},{"key":"14_CR38","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Lafferty, J.D.: Topic models. In Text Mining, pp. 101\u2013124. Chapman and Hall\/CRC (2009)","DOI":"10.1201\/9781420059458-12"},{"key":"14_CR39","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 113\u2013120. ACM (2006)","DOI":"10.1145\/1143844.1143859"},{"key":"14_CR40","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"14_CR41","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-540-70956-5_7","volume-title":"Information Visualization","author":"D Keim","year":"2008","unstructured":"Keim, D., Andrienko, G., Fekete, J.-D., G\u00f6rg, C., Kohlhammer, J., Melan\u00e7on, G.: Visual analytics: definition, process, and challenges. In: Kerren, A., Stasko, John T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 154\u2013175. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-70956-5_7"},{"issue":"5","key":"14_CR42","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1517\/14712598.2012.674507","volume":"12","author":"C Chen","year":"2012","unstructured":"Chen, C., Hu, Z., Liu, S., Tseng, H.: Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert Opin. Biol. Ther. 12(5), 593\u2013608 (2012)","journal-title":"Expert Opin. Biol. Ther."},{"key":"14_CR43","unstructured":"Alksher, M.A., Azman, A., Yaakob, R., Kadir, R.A., Mohamed, A., Alshari, E.: A framework for idea mining evaluation. In: SoMeT, pp. 550\u2013559 (2017)"},{"key":"14_CR44","unstructured":"Dellermann, D., Lipusch, N., Li, M.: Combining humans and machine learning: a novel approach for evaluating crowdsourcing contributions in idea contests. In: Multikonferenz Wirtschaftsinformatik (2018)"},{"issue":"3","key":"14_CR45","doi-asserted-by":"publisher","first-page":"45","DOI":"10.2753\/MIS0742-1222240302","volume":"24","author":"K Peffers","year":"2007","unstructured":"Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45\u201377 (2007)","journal-title":"J. Manag. Inf. Syst."},{"issue":"5","key":"14_CR46","first-page":"18","volume":"9","author":"CA Aghaei","year":"2013","unstructured":"Aghaei, C.A., et al.: A comparison between two main academic literature collections: web of Science and Scopus databases. Asian Soc. Sci. 9(5), 18\u201326 (2013)","journal-title":"Asian Soc. Sci."},{"issue":"8","key":"14_CR47","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.1016\/j.respol.2014.02.005","volume":"43","author":"H Small","year":"2014","unstructured":"Small, H., Boyack, K.W., Klavans, R.: Identifying emerging topics in science and technology. Res. Policy 43(8), 1450\u20131467 (2014)","journal-title":"Res. Policy"},{"issue":"1","key":"14_CR48","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/s11192-017-2252-y","volume":"111","author":"H You","year":"2017","unstructured":"You, H., Li, M., Hipel, K.W., Jiang, J., Ge, B., Duan, H.: Development trend forecasting for coherent light generator technology based on patent citation network analysis. Scientometrics 111(1), 297\u2013315 (2017)","journal-title":"Scientometrics"},{"key":"14_CR49","doi-asserted-by":"crossref","unstructured":"Salatino, A.A., Osborne, F., Motta, E.: AUGUR: forecasting the emergence of new research topics. In: Proceedings of the 18th ACM\/IEEE on Joint Conference on Digital Libraries, pp. 303\u2013312 (2018)","DOI":"10.1145\/3197026.3197052"},{"issue":"2","key":"14_CR50","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1191\/1478088706qp063oa","volume":"3","author":"V Braun","year":"2006","unstructured":"Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77\u2013101 (2006)","journal-title":"Qual. Res. Psychol."},{"key":"14_CR51","unstructured":"Aggarwal, V., Hwang, E., Tan, Y.: Fostering innovation: Exploration is not everybody\u2019s cup of tea. In: 39th International Conference on Information Systems, ICIS (2018)"}],"container-title":["Lecture Notes in Computer Science","Electronic Government and the Information Systems Perspective"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58957-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T22:54:42Z","timestamp":1619304882000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58957-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030589561","9783030589578"],"references-count":51,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58957-8_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"6 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EGOVIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Electronic Government and the Information Systems Perspective","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"egovis2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dexa.org\/egovis2020","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24","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":"15","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":"1","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":"63% - 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":"3.5","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":"2.5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","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)"}}]}}