How to predict responses to disease

New article on Modeling the Propagation of Social Response during a Disease Outbreak  with Shannon M. Fast (ORC master 2014), James M. Wilson (Ascel Bio), and Natasha Markuzon (Draper Lab) just appeared in the Journal  Interface and was featured in MIT news and The Atlantic
- comment | January 13, 2015

Invited Speaker in CitiNet, workshop of ECCS’14

Professor Marta Gonzalez recently spoke in Lucca, Italy in conjunction with ECCS ’14 (the European Conference on Complex Systems), a major international gathering devoted to complex systems and interdisciplinary science. She presented two papers on the topic of “Urban Social Networks: the Interplay of Social Distance and Geographic Proximity.” One paper explored the implications on using of cell phone data versus surveys for estimating travel times in Latin American cities, and the other presented new discoveries in the way social network groups are distributed in space within 150 cities. Read about ECCS and CitiNet  
- comment | September 25, 2014

Keynote at EMI 2014

Marta Gonzalez is invited as a Keynote on "Big Data Analytics for Energy Efficiency of Cities". The 2014 Engineering Mechanics Institute (EMI) Conference of the American Society of Civil Engineers (ASCE) is held from August 5 to 8 at McMaster University in Hamilton, Canada. The topic this year is mechanics for sustainable and resilient systems. See more of the program here

- comment | August 12, 2014

New paper: Limits of Predictability in Commuting Flows

A paper by graduate student Yingxiang Yang, appeared in the July 11 issue of Scientific Reports explains how to calculate the number of short and long commuting trips when detailed trip data is not available. We show that cell phone records from Rwanda and other countries can provide this information on a population’s commuting patterns. Compared with empirical trip data from the United States, their model’s estimation accuracy is as good as other existing models that depend on data for calibration. Obtaining quality estimates of how many people frequently travel between two places is a key ingredient for transportation planning, facility distribution and modeling the spread of infectious diseases. Read the full paper:here

- comment | July 11, 2014

HuMNet organizes workshop “Urban Systems and Networks” @NetSci 2014

Network Science is emerging as the common language that allows us to separate the different scale of analysis and to map and discover intrinsic principles of urban organization. We think this is an effective way to analyze cities in quantitative ways opening new unique opportunities to help manage them via new on-line applications and real time communications. Our workshop is a satellite of the NetSci 2014, see the updated program here
- comment | May 18, 2014

HumNet’s team made it to the semi-finals of the MIT energy prize

We are tackling the challenge of modelling energy consumption for heating in collaboration with the CSHub. Lead by the work of PhD student Mohammad Javad (MJ) Abdolhosseini Qomi and several other members of both groups, we have finally gotten nice advances in this multi-variate  (and complex) problem. We are able to identify the 6 parameters that are able to predict building consumption at a city scale, based on physical simulations that take into account wall properties, windows, infiltration and also the human aspect of the problem. We hope to post the results here very soon!

Based on these results MJ and Jameson's team made it to the semi-finals with of the MIT clean energy prize with their proposal of GreenAnalytix

Along these lines,  Marta C. Gonzalez was selected last week to be among the 5 members of The Pecan Street Research Institute advisory board. "Pecan Street's highly unique and rapidly growing residential energy dataset, as well as ways the Institute can advance scholarship and data visualization in the areas of utility system performance, integration of renewable resources, climate change, and customer preferences. Board members enjoy special access to curated datasets for their own research and instruction"

Learn More about Pecan Street Research Institute: The others members are: Zico Kolter, Chair, Carnegie Mellon University Ines Azevedo, Carnegie Mellon University Michael Blackhurst, The University of Texas at Austin Duncan Callaway, The University of California at Berkeley

- comment | April 14, 2014

Our team won the MIT Big Data Challenge

Yingxiang, Suma, Lauren and Jameson made the best predictions of taxis pick-ups/drop-offs, earning them the number one spot and $4,000 in prize money. The scientific visualization of the data prepared by Jameson garnered a second-place prize and an additional $1,000. The awards were announced mid-March. See the news release in the MIT News webpage
- comment | March 18, 2014

Celebrating Han’s Herrmann birthday

Marta C. Gonzalez is selected as invited speaker in the conference “Dynamic Systems: From Statistical Mechanics to Engineering Applications“, in the occasion to celebrate more than 30 years of scientific endeavor of her PhD adviser Hans J. Herrmann: “From programming simple models to impressive simulations of dynamic systems”

“The aim of this conference is to bring together people from different fields, who contributed to computational modeling, the development of methods and their application to challenging real life problems. Applications range from percolation to network theory, from fracture to fragmentation, granular media to fluids, particles in fluids to flow with complex fluids or through complex curved spaces[...]“

- comment | January 9, 2014