{"666974":{"#nid":"666974","#data":{"type":"event","title":"PhD Defense by Justin Sukernek","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EName: Justin Sukernek\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EPh.D. Dissertation Defense Meeting\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EDate:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E Wednesday April 12, 2023, 2:30pm EST\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ELocation:\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003E J.S. Coon 150 or Zoom link \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/3743194773?pwd=eW9TZ0hMalNYbDFmTXROYnNIdklHZz09\u0022\u003Eclick here\u003C\/a\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E Rick Thomas, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003E\u003Cspan\u003EDissertation Committee Members:\u003C\/span\u003E\u003C\/strong\u003E \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDobromir Rahnev, Ph.D. (Georgia Tech)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ESashank Varma, Ph.D. (Georgia Tech)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EJamie Gorman, Ph.D. (Arizona State)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMichael Dougherty, Ph.D. (University of Maryland)\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003ETitle: Exploring the Robustness of the Surprisingly Popular Signal\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EAbstract: \u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003Cspan\u003E\u003Cspan\u003EA large portion of the decision-making literature is concerned with forecasting the future, often using wisdom of the crowd as the basis for successful forecasts. However, crowd wisdom can be limited when the consensus is incorrect. Bayesian truth serum and the Surprisingly Popular algorithm, two novel methodologies in this space, offer solutions to this limitation by leveraging social sensing to calculate the \u0027surprisingly popular signal\u0027 at the respondent and question level, respectively. In this dissertation, I present three experiments that compare the three methodologies across forecasting, consumer decision-making, and general knowledge. In all three experiments, SP yielded the highest accuracy when utilizing a subsample of the most knowledgeable participants, a finding that is coherent with the existing literature. Experiment two incorporated social influence, uncovering a positive effect of disagreement on BTS scores and bidirectional effects of social influence on respondent\u0027s perceptions of how others would answer. Furthermore, two of the experiments demonstrate evidence of the BTS\u0027s ability to identify subsamples of participants that increase SP\u0027s accuracy, performing a similar function to domain knowledge. Finally, a process-based simulation of knowledge and social influence on SP and BTS is conducted, corroborating empirical findings. Overall, results provide promising evidence of SP\u0027s effectiveness across all task contexts, as well as some evidence for a potential new application for BTS. \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003E\u003Cspan\u003EExploring the Robustness of the Surprisingly Popular Signal\u003C\/span\u003E\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Exploring the Robustness of the Surprisingly Popular Signal"}],"uid":"27707","created_gmt":"2023-03-31 14:10:43","changed_gmt":"2023-03-31 14:11:38","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-04-12T14:30:43-04:00","event_time_end":"2023-04-12T16:30:43-04:00","event_time_end_last":"2023-04-12T16:30:43-04:00","gmt_time_start":"2023-04-12 18:30:43","gmt_time_end":"2023-04-12 20:30:43","gmt_time_end_last":"2023-04-12 20:30:43","rrule":null,"timezone":"America\/New_York"},"location":"J.S. 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