NetMob 2026 — Full Conference Program
October 14th–16th, Niterói, Rio de Janeiro state, Brazil
Program at a glance
Select any slot to jump to its papers, speakers and details.
| Time | WednesdayOctober 14th | ThursdayOctober 15th | FridayOctober 16th |
|---|---|---|---|
| 08:00 | Registration | Registration | Registration |
| 08:30 | Opening session | Session 4 Health and Risk | Session 7 Data Challenge and Behavioral Dynamics |
| 09:00 | Session 1 Mobility Foundations | ||
| 10:00 | Coffee break | Coffee break | Coffee break |
| 10:30 | Keynote 1 Alexander Zipf | Keynote 2 Vanessa Frias-Martinez | Keynote 3 Rafael H. M. Pereira |
| 11:30 | Session 2 Data and Methods | Session 5 Data Challenge | Session 8 AI and Privacy |
| 12:45 | Lunch | Lunch | Awards ceremony |
| 13:00 | Lunch | ||
| 14:00 | Session 3 Urban Life and Inequality | Session 6 Behavioral Dynamics | |
| 16:00 | Coffee break | Coffee break | |
| 16:30 | Sponsor talk Qualcomm | Optional · extra fee* MAC visit and dinner | |
| 17:30 | Panel Cities in Motion, Models in Action | ||
| 19:30 | Social Conference Cocktail |
- Paper sessions
- Keynotes
- Opening, awards, sponsor talk & panel
- Social events
- Registration, breaks & posters
Talks are 10 minutes plus 5 minutes of Q&A. Posters are on display all day and presented during both coffee breaks. * The optional MAC visit and dinner has an additional fee of R$200 (~US$38) — more information.
MCMain Conference DCData Challenge
Wednesday, October 14th
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08:00
Registration
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08:30–09:00
Opening session
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09:00–10:00
Session 1: Mobility Foundations
4 talks · Session chair: Ronaldo Menezes-
MC A behavioral census of US cities from interpretable mobility embeddings
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MC The power law in human mobility is a mixture artifact: evidence from a pandemic natural experiment
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MC The Hyperfractal Dimension: Measuring the Multi-Scale Structure of Urban Mobility
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MC Navigating decision points in mobility data
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10:00–10:30
Coffee break + Poster Session
6 posters · on display all day, presented during both coffee breaks (10:00–10:30 and 16:00–16:30)-
MC GraniteMob: An AI Framework for Mobility Intelligence in the City of Niterói, Rio de Janeiro, Brazil
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MC Beyond Geographic Proximity: A Methodological Framework Informed by Mobility Data for Assessing Access to Specialized Hospital Services
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MC Mobile Data for Public Good: Sustainable Pathways within a Changing Mobile Ecosystem
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MC Using UAVs To Improve The Logistics Of Medical Supply Transport In Urban Areas
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MC Scalable multilayer urban social networks using Call Detail Records and census data
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MC Daily municipal bus demand forecasting in Niterói: combining weekly recurrence, calendar effects, and operational heterogeneity
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10:30–11:30
Keynote 1
Beyond the Trace: GeoAI and Open Geodata as the Context Layer for Mobility Where the Map Runs Out
Chair of GIScience (Geoinformatics) at Heidelberg University, Germany.
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11:30–12:45
Session 2: Data and Methods
5 talks · Session chair: Kyriaki Kalimeri - UNICEF-
MC An Interactive Stop-Detection-Algorithm Tool for Comparison and Visualization
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MC Fastkit-Mobility: A High-Performance, DataFrame-Agnostic Library for Mobility Analysis
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MC Correcting socioeconomic bias in mobile phone mobility estimates
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MC Selection Bias in Phone-Based Migration Statistics: Evidence and Correction Strategies
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MC Identifying and characterizing dangerous road sections using vehicle telemetry and OpenStreetMap data
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12:45–14:00
Lunch
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14:00–16:00
Session 3: Urban Life and Inequality
8 talks · Session chair: Hamish Gibbs (MIT & Northeastern University)-
MC People-Place Networks Reveal Economic Disparities in United States
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MC Digital Fingerprints of Multicultural Communities
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MC Amenity Proximity Redistributes Mobility Across Home, Workplace, and City Center: Evidence from Austria
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MC Planning for isolation? The role of urban form and function in shaping mobility in Brasília
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MC Beyond Proximity: Rethinking Urban Accessibility Through Human Mobility Patterns in United States
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MC Moving Unequally: Phone-Based Mobility Metrics Reveal Socio-Spatial Inequality in Mexico City
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MC The parenthood effect in urban mobility
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MC Measuring the Daytime POI-visit Impacts of Hybrid Work across U.S. Cities
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16:00–16:30
Coffee break + posters
See today’s posters ↑ -
16:30–17:30
Sponsor talk
Qualcomm University Platforms Program & the BUBBLE-BLUE project
Staff Engineer and Head of University Developer Platforms, EMEA at Qualcomm.
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17:30–19:00
Panel
Cities in Motion, Models in Action: Using Urban Mobility Data to Build AI for City Planning and Management
Panelists
- Rafael H. M. Pereira Head of Data Science at the Brazilian Institute for Applied Economic Research (Ipea). Researcher in the fields of urban analytics, spatial data science, and transport studies.
- Carlos Krykhtine Municipal Secretary of Urban Planning for the City of Niterói. Architect, urban planner, and Specialist in urban and Environmental Management.
- Angelo E. M. Ciarlini Senior Staff Data Scientist at Unico ID. Data Scientist focused on developing cutting-edge, data-driven authentication algorithms to enhance client security.
Thursday, October 15th
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08:00
Registration
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08:30–10:00
Session 4: Health and Risk
6 talks · Session chair: Anna Colquhoun (GSMA)-
MC A Multi-resolution Mobility-aware Framework for Dynamic Air Pollution Exposure Assessment
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MC Social media-based measures of social capital attenuate economic disparities in extreme weather evacuations and recovery
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MC Prediction of Infection Risk in an Epidemic Contact Network via Temporal Line Graph Representations
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MC Empirical Trajectory Sparsity Biases Mobility-Informed Epidemic Modeling Outcomes and Parameter Estimates
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MC Mobility Networks Reveal Association between Dynamic Food Environment and Chronic Cardiometabolic Diseases across U.S. Cities
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MC Transmission-aware mobility interventions for epidemic control
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10:00–10:30
Coffee break + Poster Session
7 posters · on display all day, presented during both coffee breaks (10:00–10:30 and 16:00–16:30)-
DC Detecting bus delays and service anomalies in Niterói with autoencoder latent feature representations
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DC Demand-Weighted Reliability and Diagnostic Observability in Public Transport: A Multi-Source Alignment Approach
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DC Counterfactual Dispatch Regularization Reduces Passenger Waiting in Urban Bus Services
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DC A GPS-Based Framework to Distinguish Road-Network Congestion from Bus Operation in Niterói, Brazil
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DC The Impact of Precipitation on Public Transportation in Niterói, Brazil
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DC Assessing the Effects of Precipitation on Public Transportation Demand Through Eigenvector Analysis
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DC Spatial Analysis of Operational Discrepancies in Niterói's Municipal Bus System
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10:30–11:30
Keynote 2
From Digital Traces to Behavioral Insights: LLMs, Data Bias, and Fairness
Professor in Computer and Information Science at University of Maryland.
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11:30–12:45
Session 5: Data Challenge
5 talks · Session chair: Sveta Milusheva (World Bank)-
DC Privacy and anonymization of stochastic mobility trajectories from bus payment logs
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DC Unequal by Design: Bus Network Structure, Social Vulnerability, and Favela Access in Niterói
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DC Planned and experienced accessibility reveal contrasting diagnoses of transit poverty and inequality
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DC Edge on Wheels: Forecasting Bus Fleet Compute with Calibrated Uncertainty
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DC Transit Opportunity Landscapes Under Climate Stress: Spatial Equity, Vulnerability Evaluation, and the Usage–Accessibility Gap
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12:45–14:00
Lunch
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14:00–16:00
Session 6: Behavioral Dynamics
7 talks · Session chair: Diego Madariaga, IMDEA Networks Institute-
MC Urban mobility network centrality predicts social resilience
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MC Spatiotemporal dynamics of adult content consumption: mapping traffic peaks and socioeconomic indicators
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MC Infrastructure Matters: Quantifying Measurement Bias in Mobile Phone Mobility Data
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MC Parental Activity Space Across Childcare Stages
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MC Invariant, elastic and plastic: how mobility reorganizes around a residential move
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MC Cross-Metropolitan Transferability of Behavior-based Dependency Networks
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MC Do tsunami evacuation drills reproduce real evacuation response? Evidence from paired events in coastal Chile
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16:00–16:30
Coffee break + posters
See today’s posters ↑
Friday, October 16th
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08:00
Registration
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08:30–10:00
Session 7: Data Challenge and Behavioral Dynamics
6 talks · Session chair: Christelle Scharff (Pace University)-
DC Impact of provided services and socio-demographic factors on bus accessibility: a Niterói case study
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DC Reaching the Stop, Reaching the City: Socio-Spatial Inequality in Public-Transport Access in Niterói (SDG 11.2.1)
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DC Urban Mobility and Demand Dynamics: A Telemetry and Ticketing Baseline for Niterói's Bus Network
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DC The Predictability of Bus Bunching and Who Pays for It: Evidence from Niterói, Brazil
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MC Comparing Gender-Labeled Urban Co-Visitation Networks Across U.S. Cities Using Google Places
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MC Leveraging mobility behavior to re-identify users
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10:00–10:30
Coffee break + posters
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10:30–11:30
Keynote 3
Accessibility and mobility data: two halves of a policy story
Head of Data Science at the Brazilian Institute for Applied Economic Research (Ipea) and visiting professor at the University of Toronto.
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11:30–12:45
Session 8: AI and Privacy
4 talks · Session chair: Claudio Campelo (Federal University of Campina Grande)-
MC Large Language Models Create an Uneven Informational Layer over Cities
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MC Do LLM Agents Reproduce Human Mobility Laws?
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MC Predictability of Urban Park Visitation Behavior Using Context-Aware Fine-Tuned LLM Agents
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MC Some Users Are Easier to Re-identify: Evidence from Mobility Profiles and Embedding Geometry
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12:45–13:00
Awards ceremony
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13:00–14:00
Lunch

2026


