{"date_published":"2025-12-15T00:00:00Z","alternative_title":["ISTA Thesis"],"type":"dissertation","page":"95","oa_version":"Published Version","department":[{"_id":"GradSch"},{"_id":"GaTk"},{"_id":"FyKo"}],"tmp":{"short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"file_date_updated":"2025-12-16T21:52:19Z","citation":{"mla":"Rella, Simon. <i>Adaptive Processes in Biology and Culture : Models of Evolving Vaccine Resistance and the Record Statistics of Innovation</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20811\">10.15479/AT-ISTA-20811</a>.","ieee":"S. Rella, “Adaptive processes in biology and culture : Models of evolving vaccine resistance and the record statistics of innovation,” Institute of Science and Technology Austria, 2025.","ista":"Rella S. 2025. Adaptive processes in biology and culture : Models of evolving vaccine resistance and the record statistics of innovation. Institute of Science and Technology Austria.","apa":"Rella, S. (2025). <i>Adaptive processes in biology and culture : Models of evolving vaccine resistance and the record statistics of innovation</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-20811\">https://doi.org/10.15479/AT-ISTA-20811</a>","chicago":"Rella, Simon. “Adaptive Processes in Biology and Culture : Models of Evolving Vaccine Resistance and the Record Statistics of Innovation.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT-ISTA-20811\">https://doi.org/10.15479/AT-ISTA-20811</a>.","ama":"Rella S. Adaptive processes in biology and culture : Models of evolving vaccine resistance and the record statistics of innovation. 2025. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20811\">10.15479/AT-ISTA-20811</a>","short":"S. Rella, Adaptive Processes in Biology and Culture : Models of Evolving Vaccine Resistance and the Record Statistics of Innovation, Institute of Science and Technology Austria, 2025."},"article_processing_charge":"No","status":"public","degree_awarded":"PhD","ddc":["616","576","614","519"],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","day":"15","corr_author":"1","file":[{"date_updated":"2025-12-16T21:49:52Z","file_size":29019662,"relation":"main_file","creator":"srella","checksum":"a0bd7a585720e60df284101b8afdf6bb","success":1,"file_name":"2025_Rella_Simon_Thesis.pdf","content_type":"application/pdf","file_id":"20831","date_created":"2025-12-16T21:49:52Z","access_level":"open_access"},{"creator":"srella","date_updated":"2025-12-16T21:52:19Z","file_size":42094025,"relation":"source_file","file_name":"2025_Rella_Simon_Thesis_Sourcefiles.zip","checksum":"b8b3a90932ae1d96d307838710f46e32","content_type":"application/zip","file_id":"20832","date_created":"2025-12-16T21:52:19Z","access_level":"open_access"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","date_updated":"2026-01-09T13:25:51Z","has_accepted_license":"1","month":"12","author":[{"id":"B4765ACA-AA38-11E9-AC9A-0930E6697425","first_name":"Simon","full_name":"Rella, Simon","last_name":"Rella"}],"OA_place":"repository","year":"2025","publication_status":"published","doi":"10.15479/AT-ISTA-20811","date_created":"2025-12-12T14:39:56Z","publisher":"Institute of Science and Technology Austria","supervisor":[{"last_name":"Tkačik","orcid":"0000-0002-6699-1455","first_name":"Gašper","full_name":"Tkačik, Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Kondrashov","orcid":"0000-0001-8243-4694","first_name":"Fyodor","full_name":"Kondrashov, Fyodor","id":"44FDEF62-F248-11E8-B48F-1D18A9856A87"}],"oa":1,"abstract":[{"text":"\tThis thesis is organized into two parts, each comprising two chapters: Chapter 1 and 2 offer models for the evolution of vaccine resistance in response to diverse vaccination strategies. Chapter 3 and 4 review the statistics of records, their connection to models of innovation and an application to the cultural evolution of sports.\r\n\tIn chapter 1 we present a modelling study from 2021 on the evolution of SARS-CoV-2. At that time the vaccine-resistant Omicron variant had not yet evolved. In our model we consider a population that is becoming vaccinated over time, while a pathogen is spreading in the population and eventually becoming resistant to the vaccine. We explore effective pharmaceutical and non-pharmaceutical interventions to prevent the emergence of vaccine resistance. \r\n\tIn chapter 2 we model a particular set of complex vaccination strategies, mosaic and pyramid vaccination, where an immunologically diverse portfolio of vaccines is considered. We find that a bet-hatching strategy, in which vaccine types are distributed in the population, is effective at hindering the evolution of vaccine resistance if mutation rates are high. \r\n\tIn chapter 3 we switch gears and present a review on the statistics of records. We highlight similarities and analogies to other models in the fields of statistical physics, evolution and innovation. This offers interesting complimentary perspectives on well-known models. \r\n\tIn chapter 4 we apply models of record statistics and innovation to study cultural evolution in sport. We propose a model of sport evolution that combines deterministic improvements in performance and stochastic bursts of improvements due to innovation. ","lang":"eng"}],"publication_identifier":{"issn":["2663-337X"]},"related_material":{"record":[{"relation":"part_of_dissertation","id":"18307","status":"public"},{"relation":"part_of_dissertation","id":"9905","status":"public"}]},"language":[{"iso":"eng"}],"_id":"20811","title":"Adaptive processes in biology and culture : Models of evolving vaccine resistance and the record statistics of innovation"}