Shonan Seminar

Advancing Mobility Data Science and Mobility AI

Overview

The proliferation of handheld GPS enabled devices, spatial and spatio-temporal data is generated, stored, and published by billions of users in a plethora of applications. Multiple communities, in computer science, outside computer science, and in industry, have responded to the pertinent challenges and proposed solutions to individual problems. These communities include mobile data management, spatial data mining, geography, transportation engineering, spatial privacy, and spatial epidemiology. In addition, the AI and machine learning communities have also started exploring spatio-temporal and mobility data. Integrating these communities around the common interest of AI and data science around spatio-temporal and mobility-related problems is the best chance to achieve impactful end-to-end solutions to real world problems in our cities. This Shonan meeting will follow the success of the Seminar on Mobility Data Science held in January 2022, and expand it to the Mobility AI (or GeoAI) community.

Topics

Open Large-scale Datasets

The success of developing advanced models for various applications largely depends on high-quality large-scale datasets. In mobility data science and mobility AI research, most research works still rely on traditional datasets like Geolife, Gowalla, TaxiPorto, and FourSquare, which were introduced a decade ago. The meeting will discuss the challenges and questions towards developing large-scale open datasets such as:

  • What are the challenges of collecting and publishing modern mobility data?
  • How to assess the quality of mobility data?
  • How to address the privacy concerns in releasing large-scale mobility data?
  • Which data models facilitate the integration of heterogeneous data from multiple sources?

Reproducibility

In comparison to other research communities such as CV and NLP, the reproducibility in the mobility data science/AI research area is overlooked. For example, a proposed model or algorithm is rarely evaluated globally. We cannot guarantee the utility of a model in a new scenario even if its implementation is available. We will discuss questions related to the reproducibility, including:

  • What are the main reproducibility issues in the community?
  • Can we develop a centralized platform for cross-region reproduction?
  • How can we design a reproducibility checklist for mobility data science/AI research?
  • How to conduct benchmarking research for each mobility data science/AI research task?

New Directions

Another important aspect of this meeting is to shape the future of mobility data science and mobility AI (e.g., in the next 10 years). We believe with proper designing, the research of mobility could bring many benefits to our daily life in multiple ways. Research questions discussed will include:

  • What are the priority areas of focus for the advancement of mobility data science/AI?
  • How can we conduct responsible mobility data science/AI research for other disciplines such as for Intelligent Transportation, business intelligence, emergency and disaster response?
  • How can we strengthen the cross-country collaborations to leverage data with more diverse geographical characteristics?
  • How to foster interdisciplinary collaborations on a regular basis?

Organizers

Flora Salim Flora Salim

University of New South Wales Sydney, Australia

Andreas Zufle Andreas Zufle

Emory University, USA

Mahmoud Sakr Mahmoud Sakr

Université libre de Bruxelles, Belgium

Kyoung-Sook Kim Kyoung-Sook Kim

National Institute of Advanced Industrial Science and Technology (AIST), Japan

Peer Kroger Peer Kroger

University of Kiel, Germany

Schedule

The seminar will run from February 17 to February 20, 2025.

Sunday (February 16, Arrival Day)

1500-1900: Check-In (Early Checkin Negotiable)

1900-2100: Welcome Banquet

Monday (Day 1, February 17, Session 1: Introduction and Lighting Talks & Session 2: Workshop on Datasets)

7:00-8:30: Breakfast

8:30-9:00: Pre-Meeting with Shonan Staff (Organizers only)

9:00-9:10: Shonan Video

9:10-9:30: Introduction

9:30-10:00: 3 Minute Self-Introductions (30m)

10:00-10:30: Break

10:30-12:00: 3 Minute Self-Introductions (90m)

12:00-13:30: Lunch (Cafeteria opens at 1130)

14:00-15:30: Workshop on Datasets

15:30-16:00: Break

16:00-18:00: Workshop on Datasets

18:00-19:15: Dinner

Tuesday (Day 2, February 18, Session 3: Workshop on Models & Session 4: Hands on Tooling, Quick Prototyping)

7:00-9:00: Breakfast

9:00-10:30: Workshop on Models

10:30-11:00: Break

11:00-12:00: Workshop on Models

12:00-13:30: Lunch

13:30-15:30: Hands-On Tooling & Quick Prototyping

15:30-16:00: Break

16:00-18:00: Hands-On Tooling & Quick Prototyping

18:00-19:15: Dinner

Wednesday (Day 3, February 19, Session 5: Shut up and Write!)

7:00-9:00: Breakfast

9:00-10:30: Paper and Proposal Writing

10:30-11:00: Break

11:00-12:00: Paper and Proposal Writing

11:30-12:00: Group Photo

12:00-13:30: Lunch

13:30-18:00: Excursion

18:00-21:00: Main Banquet (at excursion in Kamakura)

Thursday (Day 4, February 20, Session 6: Report and Next Steps)

7:00-10:00: Check-Out

7:00-9:00: Breakfast

9:00-10:00: Report, Next Steps, and Workshop Drawing (Part 1)

10:00-10:30: Break

10:30-12:00: Report, Next Steps, and Workshop Drawing (Part 2)

12:00: End of Shonan Workshop 210!

12:00-13:30: Lunch

Meeting Outcomes

One of the main discussion topic of the meeting will be around the large-scale datasets for mobility data science and mobility AI research. We therefore intend to compile a practical agenda for establishing such a dataset in the next few years.

Participants

Name Affiliation Country
Dr. Taylor Anderson George Mason University USA
Mr. Hossein Amiri Emory University USA
Dr. Yang Cao Institute of Science Tokyo Japan
Dr. Gilles Dejaegere Universite Libre de Bruxelles Belgium
Prof. Zeinalipour Demetris University of Cyprus Cyprus
Dr. Renhe Jiang University of Tokyo Japan
Dr. Joon-Seok Kim Emory University USA
Dr. Yuxuan Liang The Hong Kong University of Science and Technology (Guangzhou) Hong Kong
Prof. Hua Lu Aalborg University Denmark
Dr. Amr Magdy University of California, Riverside USA
Mr. Gaspard Merten Universite Libre de Bruxelles Belgium
Prof. Mohamed Mokbel University of Minnesota USA
Ms. Chiara Pugliese CNR-lit and CNR-Isti in Pisa Italy
Dr. Jianzhong Qi The University of Melbourne Australia
Dr. Chiara Renso ISTI - CNR Italy
Prof. Matthias Renz Kiel University Germany
Dr. Hamada Rizk Osaka University Japan
Prof. Cyrus Shahabi University of Southern California USA
Prof. Goce Trajcevski Iowa State University USA
Prof. Ranga Raju Vatsavai North Carolina State University USA
Dr. Li Xiong Emory University USA
Prof. Jianqiu Xu Nanjing University of Aeronautics and Astronautics China
Dr. Hao Xue University of New South Wales Australia
Prof. Daisuke Yamamoto Nagoya Institute of Technology Japan
Dr. Takahiro Yabe New York University USA
Mr. Du Yin University of New South Wales Australia
Prof. Takuro Yonezawa Nagoya University Japan
Prof. Yang Yue Shenzhen University China
Dr.-Ing. Claudius Zelenka Christian-Albrechts-Universität zu Kiel Germany
Dr. Liang Zhao Emory University USA

Venue

The meeting will be held at the Shonan Village Center, a serene location designed for collaborative academic events.

Address: 1560-39 Kamiyamaguchi, Hayama, Kanagawa, Japan

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