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Abstracts.qmd

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## Identifying Critical Participants in the SIC Payment System with R
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**Date & Time:** February 18 at 12:10pm, Eastern
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**Date & Time:** February 18 at 11:25pm, Eastern
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### Abstract
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## Agentic R Workflows for High-Stakes Risk Analysis
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**Date & Time:** February 18 at 12:55pm, Eastern
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**Date & Time:** February 18 at 12:10pm, Eastern
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### Abstract
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## How the R packages NumericEnsembles and LogisticEnsembles can return the best possible results for data sets related to risk
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**Date & Time:** February 18 at 1:40pm, Eastern
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**Date & Time:** February 18 at 12:55pm, Eastern
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### Abstract
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## A Bayesian R Framework for Quantifying Cyber Risk Using the FAIR Model and MITRE ATT\&CK
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**Date & Time:** February 18 at 2:25pm, Eastern
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**Date & Time:** February 18 at 1:40pm, Eastern
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### Abstract
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program.qmd

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| 9:10 AM | 9:50 AM | 40 mins | [Fully Reproducible Model Validation Reports Using Docker, R, Quarto, {renv} and {targets}](Abstracts.qmd#michael-thomas) | Michael Thomas, Chief Data Scientist, Ketchbrook Analytics |
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| 9:55 AM | 10:35 AM | 40 mins | [The Distributions Tailored to Skewed and Fat Tails in the FatTailsR Package](Abstracts.qmd#patrice-kiener) | Patrice Kiener, Président - CEO, Inmodelia |
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| 10:40 AM | 11:20 AM | 40 mins | [Financial Dependence via ISE100 via vine copulas: R packages for risk modeling](Abstracts.qmd#ozan-evkaya) | Ö. Ozan Evkaya, Lecturer in Statistics, School of Mathematics, University of Edinburgh; part-time remote lecturer, Istinye University |
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| 11:25 AM | 12:05 PM | 40 mins | Break | |
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| 12:10 PM | 12:50 PM | 40 mins | [Identifying Critical Participants in the SIC Payment System with R](Abstracts.qmd#julius-mattern-christoph-meyer) | Julius Mattern, Senior data scientist, Swiss National Bank<br>Christoph Meyer, Senior data scientist, Swiss National Bank |
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| 12:55 PM | 1:35 PM | 40 mins | [Agentic R Workflows for High-Stakes Risk Analysis](Abstracts.qmd#greg-michaelson) | Greg Michaelson, Co-founder and Chief Product Officer, Zerve |
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| 1:40 PM | 2:20 PM | 40 mins | [How the R packages NumericEnsembles and LogisticEnsembles can return the best possible results for data sets related to risk](Abstracts.qmd#russ-conte) | Russ Conte, Independent consultant |
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| 2:25 PM | 3:05 PM | 40 mins | [A Bayesian R Framework for Quantifying Cyber Risk Using the FAIR Model and MITRE ATT\&CK](Abstracts.qmd#joshua-connors) | Joshua Connors, Cyber Security Risk Management Engineer, Viasat |
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| 11:25 AM | 12:05 PM | 40 mins | [Identifying Critical Participants in the SIC Payment System with R](Abstracts.qmd#julius-mattern-christoph-meyer) | Julius Mattern, Senior data scientist, Swiss National Bank<br>Christoph Meyer, Senior data scientist, Swiss National Bank |
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| 12:10 PM | 12:50 PM | 40 mins | [Agentic R Workflows for High-Stakes Risk Analysis](Abstracts.qmd#greg-michaelson) | Greg Michaelson, Co-founder and Chief Product Officer, Zerve |
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| 12:55 PM | 1:35 PM | 40 mins | [How the R packages NumericEnsembles and LogisticEnsembles can return the best possible results for data sets related to risk](Abstracts.qmd#russ-conte) | Russ Conte, Independent consultant |
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| 1:40 PM | 2:20 PM | 40 mins | [A Bayesian R Framework for Quantifying Cyber Risk Using the FAIR Model and MITRE ATT\&CK](Abstracts.qmd#joshua-connors) | Joshua Connors, Cyber Security Risk Management Engineer, Viasat |
2019

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## Day 2: Thursday, February 19, 2026
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