Mobility Data Science (Dagstuhl Seminar 22021)

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DagRep.12.1.1.pdf

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Document Identifiers

DOI: 10.4230/DagRep.12.1.1
URN: urn:nbn:de:0030-drops-169190

Author Details

Mohamed Mokbel

University of Minnesota - Minneapolis, USA

Mahmoud Sakr

Université Libre de Bruxelles - Brussels, Belgium

Li Xiong

Emory University - Atlanta, USA

Andreas Züfle

George Mason University - Fairfax, USA

Jussara Almeida

Federal University of Minas Gerais - Brazil

Taylor Anderson

George Mason University - Fairfax, USA

Walid Aref

Purdue University - West Lafayette, USA

Gennady Andrienko

Fraunhofer IAIS - St. Augustin, Germany

Natalia Andrienko

Fraunhofer IAIS - St. Augustin, Germany

Yang Cao

Kyoto University - Kyoto, Japan

Sanjay Chawla

Qatar Computing Research Institute - Doha, Qatar

Reynold Cheng

University of Hong Kong - Hong Kong, China

Panos Chrysanthis

University of Pittsburgh - Pennsylvania, USA

Xiqi Fei

George Mason University - Fairfax, USA

Gabriel Ghinita

University of Massachusetts at Boston - Boston, USA

Anita Graser

Austrian Institute of Technology - Vienna, Austria

Dimitrios Gunopulos

University of Athens - Greece

Christian Jensen

Aalborg University - Denmark

Joon-Sook Kim

Pacific Northwest National Laboratory - USA

Kyoung-Sook Kim

AIST - Tokyo Waterfront, Japan

Peer Kröger

University of Kiel - Germany

John Krumm

Microsoft - Redmond, USA

Johannes Lauer

HERE Technologies - Germany

Amr Magdy

University of California - Riverside, USA

Mario Nascimento

University of Alberta - Edmonton, Canada

Siva Ravada

Oracle Corp. - Nashua, USA

Matthias Renz

University of Kiel - Germany

Dimitris Sacharidis

Université Libre de Bruxelles - Brussels, Belgium

Cyrus Shahabi

University of Southern California - Log Angeles, USA

Flora Salim

University of New South Wales - Sydney, Australia

Mohamed Sarwat

Arizona State University - Tempe, USA

Maxime Schoemans

Université Libre de Bruxelles - Brussels, Belgium

Bettina Speckmann

TU Eindhoven - Netherlands

Egemen Tanin

University of Melbourne - Australia

Yannis Theodoridis

University of Piraeus - Greece

Kristian Torp

Aalborg University - Denmark

Goce Trajcevski

Iowa State University - USA

Marc van Kreveld

Utrecht University - Netherlands

Carola Wenk

Tulane University - New Orleans, USA

Martin Werner

Technical University of Munich - Munich, Germany

Raymond Wong

Hong Kong Univ. of Science & Technology - Hong Kong, China

Song Wu

Université Libre de Bruxelles - Brussels, Belgium

Jianqiu Xu

Nanjing University of Aeronautics and Astronautics, China

Moustafa Youssef

AUC and Alexandria University - Egypt

Demetris Zeinalipour

University of Cyprus - Nicosia, Cyprus

Mengxuan Zhang

Iowa State University - USA

Esteban Zimányi

Université Libre de Bruxelles - Brussels, Belgium

and all authors of the abstracts in this report

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Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, Jussara Almeida, Taylor Anderson, Walid Aref, Gennady Andrienko, Natalia Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc van Kreveld, Carola Wenk, Martin Werner, Raymond Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, and Esteban Zimányi. Mobility Data Science (Dagstuhl Seminar 22021). In Dagstuhl Reports, Volume 12, Issue 1, pp. 1-34, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/DagRep.12.1.1

@Article{mokbel_et_al:DagRep.12.1.1,
  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 =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.1.1},
  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}
}

@Article{mokbel_et_al:DagRep.12.1.1,
  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 =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.1.1},
  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}
}

Abstract

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.

Subject Classification

ACM Subject Classification

Information systems → Information systems applications
Information systems → Data management systems

Keywords

Spatio-temporal
Tracking
Privacy
Behavior
Data cleaning
Data management
Analytics

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