[fca-list] Last Call for ICFCA 2023 Workshop Contributions

Dear collegues, We would like to remind you that there will be three workshops and one tutorial at the International Conference on Formal Concept Analysis (ICFCA), July 17-21, 2023, Kassel (Germany). The workshop deadline has been extended to June 8. Please find below a short description for each workshop. For more information on each workshop and the contribution form, please visit the conference website (Link <https://www.kde.cs.uni-kassel.de/icfca2023/workshop-tutorials.html>) and the individual workshop pages (see below). We look forward to hopefully many interesting contributions and to seeing you at the conference. Best regards, ICFCA Workshop Organizers -- *Workshop “Computational Notebooks for FCA (CoNo-Concepts 2023)” *(Link <https://www.kde.cs.uni-kassel.de/icfca2023/cono-concepts.html>) Organizer: Uta Priss Notebooks, in particular Jupyter Notebooks, are becoming increasingly popular as a means for documenting procedures, data, calculations, and findings for data science applications and teaching. In this workshop, FCA researchers will be able to present and learn about experiences with and ideas about using Jupyter Notebooks for FCA research and teaching. *Workshop “Preprocessing and Scaling of Contextual Data – PreSCoD” *(Link <https://www.kde.cs.uni-kassel.de/icfca2023/prescod.html>) Organizers: Tom Hanika, Johannes Hirth, and Ángel Mora Bonilla In the recent years, the development of methods for scaling and cleaning data have lagged behind the general research in Formal Concept Analysis. The PresSCod workshop aims to raise awareness of this problem within the FCA community and beyond. At the same time, the workshop shall motivate researchers to devote some time to this important part of research and to develop novel theoretical and practical insights. *Fake Context Challenge (FCC) *(Link <https://www.kde.cs.uni-kassel.de/icfca2023/fcc.html>) Organizers: Maximilian Felde, Tom Hanika, and Johannes Hirth Data science and machine learning in particular are significantly dependent on the quality of the data. A special problem in this regard at present is the manipulation of data through modification or synthesis. With the proposed Fake Context Challenge (FCC), we want to address this problem and raise awareness, especially among the FCA community. In particular, with the help of the FCC, the development of adequate FCA methods to detect data tampering and data synthetization should be promoted.