Cesar A. Hidalgo

Collective Learning head César Hidalgo talks to Innovation Hub about cultural knowledge, and how our collective memories form and fade.

César Hidalgo considers the role technology plays in how people and events enter, and fade from, collective memory.

Transitioning from low-income to high-income occupations is difficult because the skills associated with each type of job are so different.

César Hidalgo, head of the Collective Learning research group, and former Responsive Environments researcher Katia Vega, have been chosen a…

Machine learning is helping urbanists confirm–or disprove–long-standing theories about cities.

Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Resea…

Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.

Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.

A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.

Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.

A regular sleep schedule is important for happiness and wellbeing.

A new paradigm in economics recognizes the complexity in human behavior.

For years, the federal government, states and some cities have enthusiastically made vast troves of data open to the public. Acres of paper…