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    <title>.Zurich | Insurance Data Science Conference</title>
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    <description>.Zurich</description>
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      <title>.Zurich</title>
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      <title>Insurance Data Science conference, Zurich 2019</title>
      <link>https://insurancedatascience.org/project/2019_zurich/</link>
      <pubDate>Fri, 14 Jun 2019 00:00:00 +0000</pubDate>
      <guid>https://insurancedatascience.org/project/2019_zurich/</guid>
      <description>&lt;p&gt;ETH Zurich, 14 June 2019&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&#34;../../downloads/Zurich2019/Programme.pdf&#34;&gt;Download conference programme&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;../../downloads/Zurich2019/Abstracts_Insurance_Data_Science_Conference_2019.pdf&#34;&gt;Download abstract booklet&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Keynote Talk 1:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Joachim M. Buhmann&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/KeyNote/Buhmann.pdf&#34;&gt;&amp;ldquo;Robust Algorithmics: A Foundation for Science?!&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Session 1: Non-Life Insurance Pricing (Chair: Mario Wüthrich)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Florian Pechon&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session1/1_Florian_Pechon.pdf&#34;&gt;&amp;ldquo;Modelling Multiple Guarantees on a Household Level in Motor Insurance using Multivariate Credibility&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Yves Staudt&lt;/em&gt;: &amp;ldquo;Optimizing Insurance Pricing Models in Collison&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Armando Vieira&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session1/3_Vieira_Armando.pdf&#34;&gt;&amp;ldquo;Generative Adversarial Networks (GANs) for Claim Frequency Prediction Models&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Session 2: Workflows and Satellite Data (Chair: Guojun Gan)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Jürg Schelldorfer&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session2/1_Schelldorfer_Juerg_Homepage.pdf&#34;&gt;&amp;ldquo;Principles and Best Practices for Applied Machine Learning Models in Industry&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Roland A Schmid&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session2/2_Schmid_Roland.pdf&#34;&gt;&amp;ldquo;TensorFlow Probability - Why We Should Care&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Damian Rodziewicz&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session2/3_Rodziewicz_Damian.pdf&#34;&gt;&amp;ldquo;How to Use Satellite Data with Machine Learning in Insurance&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Lightning Talks 1 (Chair: Andreas Tsanakas)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Zhiyu Quan&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/1_Zhiyu_Quan.pdf&#34;&gt;&amp;ldquo;Hybrid Tree-Based Models for Insurance Claims&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Daphné Giorgi&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/2_Giorgi_Daphne.pdf&#34;&gt;&amp;ldquo;An R Package for Simulating Stochastic Individual-Based Population Models&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Kornelius Rohmeyer&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/3_Rohmeyer_Kornelius.pdf&#34;&gt;&amp;ldquo;Distribution Fitting in Insurance with the Shiny App DistrFit&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Aurélien Couloumy&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/4_Couloumy_Aurelien.pdf&#34;&gt;&amp;ldquo;Impact of NLP Techniques on Risk Managment Practices in Reinsurance&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Lei Fang&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/5_Lei_Fang.pdf&#34;&gt;&amp;ldquo;Exploring Patterns of Convergence/Divergence among Insurers and Banks using NLP&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Marek Rogala&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/6_Rogala_Mark.pdf&#34;&gt;&amp;ldquo;Improving Verification of Car Insurance Claims by Processing Photos&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Benjamin Abt&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/7_Abt_Benjamin.pdf&#34;&gt;&amp;ldquo;How Context Influences Model Selection&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Kevin Kuo&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks1/8_Kevin_Kuo.pdf&#34;&gt;&amp;ldquo;Towards Open Collaboration in Insurance Innovation&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Lightning Talks 2 (Chair: Markus Gesmann)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Xi Liu&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/1_Xi_Liu.pdf&#34;&gt;&amp;ldquo;Automobile Insurance Fraud Detection using Evidential Reasoning and Data-Driven Inference&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Maria Oskarsdottir&lt;/em&gt; :&lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/2_Maria_Oskarsdottir.pdf&#34;&gt;&amp;ldquo;Fraud Detection in Insurance with Social Network Analytics&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Nicolas Attalides&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/3_Attalides_Nicolas.pdf&#34;&gt;&amp;ldquo;How to Build a Data Driven Insurance Business&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Tobias Baltensperger&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/4_Tobias_Baltensperger.pdf&#34;&gt;&amp;ldquo;Solvency Contagion Modeling&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Silvana Pesenti&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/5_Pesenti_Silvana_Web.pdf&#34;&gt;&amp;ldquo;Scenario Weights for Importance Measurement - R Package for Sensitivity Analysis&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Salvatore Scognamiglio&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/6_Scognamiglio_Salvatore.pdf&#34;&gt;&amp;ldquo;Accuracy and Robustness of Machine Learning Methods in SCR Estimation&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Mick Cooney&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/7_Mick_Cooney.pdf&#34;&gt;&amp;ldquo;Terrorism as a Virus: Epidemiological Techniques for Outbreak Detection&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Kshitij Srivastava&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/LightningTalks2/8_Kshitij_Srivistava.pdf&#34;&gt;&amp;ldquo;Market Segmentation in Life Insurance: a Case Study&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Session 3: Loss Reserving (Chair: Franco Moriconi)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Alessandro Carrato&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session3/1_Alessandro_Carrato.pdf&#34;&gt;&amp;ldquo;From Chain Ladder to Individual Claims Reserving using Machine Learning Techniques&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Jonas Crevecoeur&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session3/2_Jonas_Crevecoeur.pdf&#34;&gt;&amp;ldquo;Individual Reserving with Claim Specific Covariates&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Phani Krishna Kandala&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session3/3_Phani_Krishna_Kandala.pdf&#34;&gt;&amp;ldquo;Deep Representation Learning using Stacked Autoencoder for General Insurance Loss Reserving&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Session 4: NatCat, Risk Management and Cyber Risk (Chair: Christophe Dutang)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Christian Klose&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session4/1_Klose_Christian.pdf&#34;&gt;&amp;ldquo;Deep Learning of Remote Sensing Images to Predict Wildfires&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Lucio Fernandez-Arjona&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session4/2_Lucio_Fernandez.pdf&#34;&gt;&amp;ldquo;Neural Networks for Life Insurance Risk Management&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Alexandre  Boumezoued&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session4/3_Boumezoued_Alexandre.pdf&#34;&gt;&amp;ldquo;Predicting Cyber-Attacks using the &amp;lsquo;Hawkes&amp;rsquo; R Package&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Session 5: Life and Mortality Modeling (Chair: Paul Embrechts)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Andrew Cairns&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session5/1_Cairns_Andrew.pdf&#34;&gt;&amp;ldquo;Medium Data and Socio-Economic Mortality&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Andrés Villegas&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session5/2_Andres_Villegas.pdf&#34;&gt; &amp;ldquo;A Data Analytics Paradigm for the Construction, Selection, and Evaluation of Mortality Models&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Elena Kulinskaya&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session5/3_Kulinskaya_Elena.pdf&#34;&gt;&amp;ldquo;Administrative Health Databases for Modelling Longevity Improvments&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Session 6: Industry Case Studies (Chair: Jürg Schelldorfer)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Jakob Gerstenlauer&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session6/1_Gerstenlauer_Jakob.pdf&#34;&gt;&amp;ldquo;Using Boosted Regression Trees in Insurance&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Mark Lee&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/Session6/2_Mark_Lee_Web.pdf&#34;&gt;&amp;ldquo;Feature Synthesis Using t-SNE and Clustering&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;em&gt;Markus Senn&lt;/em&gt;: &amp;ldquo;Medical Underwriting Triage: An End-To-End Machine Learning Case Study&amp;rdquo;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Keynote Talk 2:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;em&gt;Ronald Richman&lt;/em&gt;: &lt;a href=&#34;../../downloads/Zurich2019/KeyNote/Richman_Ronald.pdf&#34;&gt;&amp;ldquo;AI in Actuarial Science&amp;rdquo;&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Panel discussion &amp;ldquo;Insurance Analytics: What Works, What Doesn&amp;rsquo;t Work, and Future Potential&amp;rdquo;
with Sabine Betz, Jeffrey Bohn &amp;amp; Volker Reinthaler; moderation: Patrick Cheridito&lt;/p&gt;
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