9 April, The Brown Bag Seminar #27: Peiran Li (Assistant Professor), “Using Mobile Phone Data for Spatial Information Science: Generation, Inference, and Applications” (onsite)

2026/03/16

The 27th HIAS Brown Bag Seminar

The HIAS Brown Bag Seminar is a seminar series hosted by Hitotsubashi Institute for Advanced Study (HIAS). The seminar series aims to promote interaction between HIAS researchers, faculty members, and students university-wide. HIAS, with its 10 research centers, will continue to strive to function as a hub to facilitate active research collaboration throughout the University.

*Registration is due 3 PM, 8 April. Anyone is welcome to attend!

<If space allows, walk-in participants will be accepted on the day of the event.>

*Bring your own lunch.
<Coffee and snacks will be served.>
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▪️Date: Thursday 9, April, 2026 12:40-13:40 (Presentation + Chat over lunch)

▪️Title: “Using Mobile Phone Data for Spatial Information Science: Generation, Inference, and Applications”

▪️Abstract: Mobile phone location data have become an important data source for spatial information science, offering new opportunities to observe human activities, mobility patterns, and urban dynamics at unprecedented spatial and temporal scales. At the same time, their effective use raises several methodological challenges, including privacy constraints, limited data accessibility, and the difficulty of extracting socially meaningful information from raw trajectories. This talk presents three complementary lines of research addressing these challenges. First, I introduce recent work on pseudo trajectory generation, focusing on AI-driven generative model for GPS trajectory generation that aims to improve scalability, transportation-mode diversity, and generation efficiency under privacy-aware settings. Second, I discuss demographic inference from mobile phone trajectories, including a Bayesian approach for estimating age and gender patterns from anonymized mobility data and census information, with the goal of tracking demographic dynamics in built environments. Third, I highlight how mobile phone data can support urban applications by revealing behavioral patterns and social heterogeneity in cities. Taken together, these studies illustrate how mobile phone data can contribute not only to movement observation, but also to data generation, semantic inference, and evidence building for urban and spatial research.

▪️Presenter: Peiran Li (Assistant Professor)

▪️Venue: Room 205, Annex.(*) Kunitachi Campus, Hitotsubashi University (*) No. 5 in this campus map

▪️Language: English

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Click HERE to register!