School of computer Engineering

Lugar : Salón de Actos
Fecha : 30 noviembre 2018
Hora inicio 13:30

Descripción :

Cities are growing at a fast rate, and transportation networks need to adapt accordingly. To design, plan, and manage transportation networks, domain experts need data that reflect how people move from one place to another, at what times, for what purpose, and in what mode(s) of transportation. However, traditional data collection methods are not cost-effective or timely. For instance, travel surveys are very expensive, collected every ten years, a period of time that does not cope with quick city changes, and using a relatively small sample of people. Considering this context, In this talk I give an overview of how we can infer patterns of transportation and mobility in a city by analyzing non-traditional data sources. I focus mainly on Mobile Phone Data, but I also mention Social Media and Volunteered Geographic Information. As result, the audience will learn about individual- and city-level insights related to transportation, mobility, and visualization.

Ponente:

Eduardo Graells-Garrido: Profesor Investigador en el Instituto de Data Science de la Universidad del Desarrollo, Facultad de Ingeniería, y fellow de Telefónica I+D Chile. Obtuvo su doctorado en la Universitat Pompeu Fabra de Barcelona, a través de una estadía en los laboratorios de Yahoo! Research. En su tesis investigó los sesgos de comportamiento utilizando computación centrada en las personas y análisis de redes sociales. Sus temas de investigación actuales son informática urbana, transporte computacional, y ciencia social computacional.

Asistencia abierta a todos los profesores y alumnos.