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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">3rd Int. Workshop on Conceptual Modeling Meets Artificial Intelligence (CMAI
2021)</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">Co-Located with the 40th International Conference on Conceptual Modeling
(ER 2021), 18-21 October 2021 St. Johns, Canada: <a href="https://er2021.org">https://er2021.org</a></span></p>
<p class="MsoNormal"><span style="font-family:"Times New
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mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US"> </span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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mso-fareast-language:DE" lang="EN-US">See full version at</span><span style="font-size:10.0pt;font-family:"Courier
New";mso-fareast-font-family:"Times New Roman";
mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">:
<a href="https://workshop-cmai.github.io/2021/">https://workshop-cmai.github.io/2021/</a></span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">Artificial intelligence (AI) is front and center in the data-driven revolution
that has been taking place in the last couple of years with the increasing availability of large amounts of data (“big data”) in virtually every domain. The now dominant paradigm of data-driven AI, powered by sophisticated machine learning algorithms, employs
big data to build intelligent applications and support fact-based decision making. The focus of data-driven AI is on learning (domain) models and keeping those models up-to-date by using statistical methods over big data, in contrast to the manual modeling
approach prevalent in traditional, knowledge-based AI.</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">While data-driven AI has led to significant breakthroughs, it also comes
with a number of disadvantages. First, models generated by machine learning algorithms often cannot be inspected and understood by a human being, thus lacking explainability. Furthermore, integration of preexisting domain knowledge into learned models – prior
to or after learning – is difficult. Finally, correct application of data-driven AI depends on the domain, problem, and organizational context while considering human aspects as well. Conceptual modeling can be the key to applying data-driven AI in a meaningful,
correct, and time-efficient way while improving maintainability, usability, and explainability.</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">Topics of Interest</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">The topics of interest include, but are not limited to, the following:</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Combining generated and manually engineered models</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Conceptual (meta-)models as background knowledge for model learning</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Conceptual models for enabling explainability, model validation and plausibility
checking</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Trade-off between interpretability and model performance</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Data-driven modeling support</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Learning of meta-models</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Case-based reasoning in the context of model generation and conceptual
modeling</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Model-driven guidance and support for data analytics lifecycle</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">- Conceptual models for supporting users with conducting data analysis</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">Paper submission: 16 June 2021</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US">Author notification: 15 July 2021</span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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Roman";mso-ansi-language:EN-US;mso-fareast-language:DE" lang="EN-US"> </span></p>
<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal" style="tab-stops:45.8pt 91.6pt 137.4pt 183.2pt
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<span style="font-size:10.0pt;font-family:"Courier
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";
mso-fareast-font-family:"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE" lang="EN-US">Dominik Bork, TU Wien, Austria</span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";
mso-fareast-font-family:"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE" lang="EN-US">Peter Fettke, German Research Center for Artificial
Intelligence, Saarland University, Germany</span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";
mso-fareast-font-family:"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE" lang="EN-US">Ulrich Reimer, Eastern Switzerland University of Applied
Sciences, Switzerland</span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";
mso-fareast-font-family:"Times New
Roman";mso-ansi-language:EN-US;mso-fareast-language:
DE" lang="EN-US">Marina Tropmann-Frick, University of Applied Sciences
Hamburg, Germany</span><span style="mso-ansi-language:EN-US" lang="EN-US"></span></p>
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