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
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)
13:30-14:00: Group Photo Shooting
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
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
12:00-13:30: Lunch
13:30-18:00: Excursion
18:00-21:00: Main Banquet
Thursday (Day 4, February 20, Session 6: Report and Next Steps)
7:00-11:00: Check-Out
7:00-9:00: Breakfast
9:00-10:30: Report and Next Steps
10:30-11:00: Break
11:00-12:30: 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.
- Joint Project Initiatives
- A Journal Special Issue
- A Collection of Abstracts, Presentations, and Videos.
Participants
The meeting invites a diverse group of participants from both industry and academic. The full list will be announced soon.
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