Modeling and Understanding Intrinsic Characteristics of Human Mobility
Abstract: Humans are intrinsically social creatures and our mobility is central to understanding how our societies grow and function. Movement allows us to congre- gate with our peers, access things we need, and exchange information. Human mo- bility has huge
Modeling and Understanding Intrinsic Characteristics of Human Mobility
Abstract: Humans are intrinsically social creatures and our mobility is central to understanding how our societies grow and function. Movement allows us to congre- gate with our peers, access things we need, and exchange information. Human mo- bility has huge
Putting big data in its place : understanding cities and human mobility with new data sources.
Five years later I managed to finish my PhD after all. I’ll never be able to fully thank my family and friends, my advisor, any my collaborators for their support and encouragement. Abstract: According the United Nations Population Fund (UNFPA),
Putting big data in its place : understanding cities and human mobility with new data sources.
Five years later I managed to finish my PhD after all. I’ll never be able to fully thank my family and friends, my advisor, any my collaborators for their support and encouragement. Abstract: According the United Nations Population Fund (UNFPA),
Tracking Employment Shocks with Mobile Phone Data
Abstract: Studies using massive, passively data collected from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social media, information diffusion, and organizational dynamics. More recently, these data have come tagged with geographic information,
Tracking Employment Shocks with Mobile Phone Data
Abstract: Studies using massive, passively data collected from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social media, information diffusion, and organizational dynamics. More recently, these data have come tagged with geographic information,
The Path Most Traveled: Travel demand estimation using big data resources.
Abstract: Rapid urbanization places increasing stress on already burdened transportation systems, resulting in delays and poor levels of service. Billions of spatiotemporal call detail records (CDRs) collected from mobile devices create new opportunities to quantify and solve these problems. However,
The Path Most Traveled: Travel demand estimation using big data resources.
Abstract: Rapid urbanization places increasing stress on already burdened transportation systems, resulting in delays and poor levels of service. Billions of spatiotemporal call detail records (CDRs) collected from mobile devices create new opportunities to quantify and solve these problems. However,
Coupling Human Mobility and Social Ties
Abstract: Studies using massive, passively data collected from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social media, information diffusion, and organizational dynamics. More recently, these data have come tagged with geographic information,
Coupling Human Mobility and Social Ties
Abstract: Studies using massive, passively data collected from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social media, information diffusion, and organizational dynamics. More recently, these data have come tagged with geographic information,
MIT Big Data Challenge
Over the course of the last two months myself and some of my lab mates participated in the first annual MIT Big Data Challenge put on by the BigData@CSAIL. This year’s data consisted of geolocated taxi cab pickups and dropoffs
MIT Big Data Challenge
Over the course of the last two months myself and some of my lab mates participated in the first annual MIT Big Data Challenge put on by the BigData@CSAIL. This year’s data consisted of geolocated taxi cab pickups and dropoffs
Boston Taxi Pickups in D3
As part of a homework assignment for a class on data mining, I got to explore a dataset of taxicab pickups in Boston. With 6 months of data and the geocoded locations of roughly 4.2 million cabs, our task
Boston Taxi Pickups in D3
As part of a homework assignment for a class on data mining, I got to explore a dataset of taxicab pickups in Boston. With 6 months of data and the geocoded locations of roughly 4.2 million cabs, our task
Making sense of Big Data
It’s weird to see your face floating on MIT homepage, but I’m honored that it was. “Every time you use your cellphone, there is a little breadcrumb that’s stored that can be used in a lot of different ways to
Making sense of Big Data
It’s weird to see your face floating on MIT homepage, but I’m honored that it was. “Every time you use your cellphone, there is a little breadcrumb that’s stored that can be used in a lot of different ways to
Good Morning 2012, Stockholm, Sweden
A huge “Thanks!” and “Congratulations!” to the Stockholm School of Entrepreneurship for putting on such an inspiring event! I was honored to be a part of it. I’d like to personally thank their support staff Marie Sundström, Anna Jakus, and
Good Morning 2012, Stockholm, Sweden
A huge “Thanks!” and “Congratulations!” to the Stockholm School of Entrepreneurship for putting on such an inspiring event! I was honored to be a part of it. I’d like to personally thank their support staff Marie Sundström, Anna Jakus, and
Visualizing Taxi Fares.
Note: This content of this post is also posted on the website of the Human Mobility and Networks Lab A couple of weeks ago I participated in an MIT Transportation Hack-a-thon. The idea of a hackathon is pretty simple. Put
Visualizing Taxi Fares.
Note: This content of this post is also posted on the website of the Human Mobility and Networks Lab A couple of weeks ago I participated in an MIT Transportation Hack-a-thon. The idea of a hackathon is pretty simple. Put
