ScooterLab Workshop 2025

Advancing Research and Collaboration using a Micromobility-supported Sensing and Research Infrastructure
19 May San Antonio, Texas, USA

Overview

ScooterLab is a community research testbed supported by the National Science Foundation (NSF), designed to advance research in urban mobility, smart city infrastructure, privacy, security, and environmental sensing. By leveraging a fleet of sensor-equipped e-scooters, ScooterLab provides a unique open-access platform for micromobility-supported data collection and experimentation.

The ScooterLab Workshop: Advancing Research and Collaboration using a Micromobility-supported Sensing and Research Infrastructure brings together academic researchers, industry professionals, policymakers and other stakeholders to explore the capabilities and real-world applications of the ScooterLab developed at UTSA under NSF awards #2234516 and #2234517. This workshop aims to showcase the diverse applications of ScooterLab, inspire researchers to address critical scientific and societal challenges through its infrastructure, and foster interdisciplinary collaborations. The full-day event will feature live demonstrations, research presentations, and discussions on emerging challenges and the research opportunities that ScooterLab facilitates as a micromobility-supported sensing and research platform.

Key Details

  • Date: May 19th, 2025 (Download .ics)
  • Duration: 8:00 AM – 7:30 PM
  • Format: In-person
  • Registration Deadline: May 5th, 2025
  • Registration: Free
  • Location: Weston Conference Center UTSA San Pedro I, San Antonio, TX
  • Target Audience: Researchers, faculty and students in computer science, transportation, mobility, urban planning, sustainability, and smart cities, as well as industry stakeholders, government officials, and policymakers.

Call for Proposals

To foster new research projects and collaborations leveraging the ScooterLab testbed, we invite academic, industry, and government researchers, engineers, policymakers, and other stakeholders to submit short three-page proposals. Selected proposals will be invited to participate in the workshop, where authors will have the opportunity to present their research ideas to the broader community, explore the ScooterLab infrastructure firsthand, and engage with the ScooterLab team.

The deadline for proposal submissions is March 31, 2025 April 7, 2025 (extended). For submission guidelines and further details, please click below.


Schedule

8:00 - 8:45

Check-in & Breakfast

8:45 - 08:50

Opening Remarks

Fred Martin - Department Chair, Computer Science, UTSA

8:50 - 09:00

Welcome Message & Logistics

Introduction to ScooterLab

10:00 - 10:30

Coffee Break & Networking

Morning

10:30 - 11:00

Invited Talk: NSF CIRC and MRI Programs

Virtual
Deepankar (Deep) Medhi - NSF Program Director
Session Chair: Sushil K. Prasad

11:00 - 12:00

Keynote 1: Instrumented Micromobility: Opportunities to get
the Most Out of the Best Modes

Christopher Cherry - University of Tennessee, Knoxville
Session Chair: Greg Griffin

12:00 - 01:15

Lunch

Weston Conference Center

Community Advisory Board (CAB) Meeting (Invite Only)

Room 325 & Virtual
Session Chair: Anindya Maiti

01:15 - 02:15

ScooterLab Research Collaboration Talks I

Session Chair: Sushil K. Prasad
  • Scooting in the Heat: E-Scooters As Sensors and Mobility Enablers During Periods of Extreme Heat - Rounaq Basu
  • Multivector Attack Analysis of Location and Trajectory Disruption in Shared Micromobility Platforms - Mohammad Ashiqur Rahman
  • Accessible Path Mapping for All: Leveraging ScooterLab for Multimodal Wheeled Mobility Analytics - Vaskar Raychoudhury
  • Integrating Heat and Air Quality Data into ScooterLab - Esteban Lopez Ochoa

02:15 - 03.15

Keynote 2: Research Infrastructure: History, Impact, & Experience

Jason Hallstrom - Florida Atlantic University
Session Chair: Murtuza Jadliwala

03:15 - 03:30

Coffee Break & Networking

Afternoon

03:30 - 04:15

ScooterLab Research Collaboration Talks II

Session Chair: Anindya Maiti
  • SAFERIDE: AI-Powered Rider Behavior Monitoring and Risk Mitigation for E-Scooters - Subasish Das
  • Detect Near-Miss Collisions and Identify Hotspots for Electrified Scooters Using Artificial Intelligence and Sensor Data - Shunhua Bai
  • Enhancing Micromobility Safety through Scooter-Based Multimodal Sensing - Xueyin Bai

04:15 - 04:30

Invited Talk: Digital Twin Integrated with Large Language Model (LLM)
Agentic Workflow for Urban Modeling

Paul Rad - University of Texas at San Antonio
Session Chair: Murtuza Jadliwala

04:30 - 05:30

Panel on Micromobility-Supported Sensing

Moderator: Greg Griffin

Panelists:

  • Shunhua Bai, Texas A&M Transportation Institute
  • Janille Smith-Colin, Southern Methodist University
  • Rounaq Basu, Georgia Institute of Technology
  • Kristen Brown, University of Texas at San Antonio

05:30 - 05:45

Concluding Remarks

Murtuza Jadliwala, Sushil K. Prasad, Greg Griffin, Anindya Maiti

05:45 - 06:30

Posters, Demos & Networking

Coordinators: Khoi Trinh, Nazmus Sakib

06:30 - 07:30

Dinner

Weston Conference Center

Venue

How To Get Here

The event will be held in the Weston Conference Center at UTSA School of Data Science, located in the heart of San Antonio, TX. The venue is easily accessible by air, road, and public transportation.

Address: UTSA School of Data Science, 506 Dolorosa St, San Antonio, TX 78204

By Plane

Fly into San Antonio International Airport (SAT), a 15-minute drive from the venue.

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By Car

The venue is located in downtown San Antonio with ample parking nearby.

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By Bus

Public transit options are available via VIA Metropolitan Transit.

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By Train

Amtrak’s San Antonio Station is conveniently located nearby.

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Accommodations & Parking

Find nearby hotels, transportation details, and parking options for attending the ScooterLab Workshop.

View Hotels & Parking Info

Workshop Chairs

For additional information about the ScooterLab project, workshop, and proposal submissions, please contact:

ScooterLab PIs

To explore the full ScooterLab team, click here!

Sponsors & Partners