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Mobility Data Science (Dagstuhl Seminar 22021) Mokbel, Mohamed Sakr, Mahmoud Xiong, Li Züfle, Andreas Almeida, Jussara Anderson, Taylor Aref, Walid Andrienko, Gennady Andrienko, Natalia Cao, Yang Chawla, Sanjay Cheng, Reynold Chrysanthis, Panos Fei, Xiqi Ghinita, Gabriel Graser, Anita Gunopulos, Dimitrios Jensen, Christian Kim, Joon-Sook Kim, Kyoung-Sook Kröger, Peer Krumm, John Lauer, Johannes Magdy, Amr Nascimento, Mario Ravada, Siva Renz, Matthias Sacharidis, Dimitris Shahabi, Cyrus Salim, Flora Sarwat, Mohamed Schoemans, Maxime Speckmann, Bettina Tanin, Egemen Theodoridis, Yannis Torp, Kristian Trajcevski, Goce van Kreveld, Marc Wenk, Carola Werner, Martin Wong, Raymond Wu, Song Xu, Jianqiu Youssef, Moustafa Zeinalipour, Demetris Zhang, Mengxuan Zimányi, Esteban Spatio-temporal Tracking Privacy Behavior Data cleaning Data management Analytics This report documents the program and the outcomes of Dagstuhl Seminar 22021 "Mobility Data Science". This seminar was held January 9-14, 2022, including 47 participants from industry and academia. The goal of this Dagstuhl Seminar was to create a new research community of mobility data science in which the whole is greater than the sum of its parts by bringing together established leaders as well as promising young researchers from all fields related to mobility data science. Specifically, this report summarizes the main results of the seminar by (1) defining Mobility Data Science as a research domain, (2) by sketching its agenda in the coming years, and by (3) building a mobility data science community. (1) Mobility data science is defined as spatiotemporal data that additionally captures the behavior of moving entities (human, vehicle, animal, etc.). To understand, explain, and predict behavior, we note that a strong collaboration with research in behavioral and social sciences is needed. (2) Future research directions for mobility data science described in this report include a) mobility data acquisition and privacy, b) mobility data management and analysis, and c) applications of mobility data science. (3) We identify opportunities towards building a mobility data science community, towards collaborations between academic and industry, and towards a mobility data science curriculum. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Mohamed Mokbel and Mahmoud Sakr and Li Xiong and Andreas Züfle and Jussara Almeida and Taylor Anderson and Walid Aref and Gennady Andrienko and Natalia Andrienko and Yang Cao and Sanjay Chawla and Reynold Cheng and Panos Chrysanthis and Xiqi Fei and Gabriel Ghinita and Anita Graser and Dimitrios Gunopulos and Christian Jensen and Joon-Sook Kim and Kyoung-Sook Kim and Peer Kröger and John Krumm and Johannes Lauer and Amr Magdy and Mario Nascimento and Siva Ravada and Matthias Renz and Dimitris Sacharidis and Cyrus Shahabi and Flora Salim and Mohamed Sarwat and Maxime Schoemans and Bettina Speckmann and Egemen Tanin and Yannis Theodoridis and Kristian Torp and Goce Trajcevski and Marc van Kreveld and Carola Wenk and Martin Werner and Raymond Wong and Song Wu and Jianqiu Xu and Moustafa Youssef and Demetris Zeinalipour and Mengxuan Zhang and Esteban Zimányi 2022 Is Part Of Dagstuhl Reports, Volume 12, Issue 1 (2022) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.12.1.1 urn:nbn:de:0030-drops-169190 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.1.1 eng https://creativecommons.org/licenses/by/4.0/legalcode