License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.12.1.1
URN: urn:nbn:de:0030-drops-169190
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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
Weitere Beteiligte (Hrsg. etc.): Mohamed Mokbel et al.

Mobility Data Science (Dagstuhl Seminar 22021)

dagrep_v012_i001_p001_22021.pdf (5 MB)


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.

BibTeX - Entry

  author =	{Mokbel, Mohamed and Sakr, Mahmoud and Xiong, Li and Z\"{u}fle, Andreas and Almeida, Jussara and Anderson, Taylor and Aref, Walid and Andrienko, Gennady and Andrienko, Natalia and Cao, Yang and Chawla, Sanjay and Cheng, Reynold and Chrysanthis, Panos and Fei, Xiqi and Ghinita, Gabriel and Graser, Anita and Gunopulos, Dimitrios and Jensen, Christian and Kim, Joon-Sook and Kim, Kyoung-Sook and Kr\"{o}ger, Peer and Krumm, John and Lauer, Johannes and Magdy, Amr and Nascimento, Mario and Ravada, Siva and Renz, Matthias and Sacharidis, Dimitris and Shahabi, Cyrus and Salim, Flora and Sarwat, Mohamed and Schoemans, Maxime and Speckmann, Bettina and Tanin, Egemen and Theodoridis, Yannis and Torp, Kristian and Trajcevski, Goce and van Kreveld, Marc and Wenk, Carola and Werner, Martin and Wong, Raymond and Wu, Song and Xu, Jianqiu and Youssef, Moustafa and Zeinalipour, Demetris and Zhang, Mengxuan and Zim\'{a}nyi, Esteban},
  title =	{{Mobility Data Science (Dagstuhl Seminar 22021)}},
  pages =	{1--34},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{1},
  editor =	{Mokbel, Mohamed and Sakr, Mahmoud and Xiong, Li and Z\"{u}fle, Andreas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-169190},
  doi =		{10.4230/DagRep.12.1.1},
  annote =	{Keywords: Spatio-temporal, Tracking, Privacy, Behavior, Data cleaning, Data management, Analytics}

Keywords: Spatio-temporal, Tracking, Privacy, Behavior, Data cleaning, Data management, Analytics
Collection: DagRep, Volume 12, Issue 1
Issue Date: 2022
Date of publication: 23.08.2022

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