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The iconic MIT home page Spotlight features a daily-changing image and design that focuses on advances in research, technology and education taking place at the Institute. Though some Spotlights do run multiple days - for example Friday's spot usually runs through the weekend, we work very hard to maintain the daily-changing tradition. We've combed our servers and have compiled a digital archive of the Institute home page through the years - well over 2000 images. Enjoy!
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Planning differentlyToday’s Spotlight features an animated illustration by Christine Daniloff/MIT.

John Arroyo is a doctoral student and Ford Foundation Predoctoral Fellow in MIT’s Department of Urban Studies and Planning (DUSP). A self-described “nontraditional” urban planner, his work before grad school as a journalist and as a longtime arts advocate has encouraged him to incorporate methods from ethnography, sociology, and critical cartography into his research.

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The MIT home page Spotlight showcases the research, technology and education advances taking place at the Institute every day.

What makes it as a Spotlight image is an editorial decision by the MIT News Office based on factors that include timeliness, promotion of MIT's mission, the balance of interest to both internal and external audiences, and appropriateness.

We do welcome ideas and submissions for spotlights from community members, but please note we are not able to accommodate all requests. We are unable to run event previews or promotions as spotlights; for those looking to promote an event, we are happy to include your listing as an event headline on the homepage (when space is available) and you are free to submit an Of Note to the MIT News office. For more information, e-mail the spotlight team.

Request a Spotlight, Of Note or Event Headline, here.
Found in the crowd

Found in the crowd

Today’s Spotlight uses a rendering by Christine Daniloff/MIT of an original image by Yves‑Alexandre de Montjoye et al.

The proliferation of sensor‑studded cellphones could lead to a wealth of data with socially useful applications — in urban planning, epidemiology, operations research and emergency preparedness, among other things. Of course, before being released to researchers, the data would have to be stripped of identifying information. But how hard could it be to protect the identity of one unnamed cellphone user in a data set of hundreds of thousands or even millions?

According to a paper appearing this week in Scientific Reports, harder than you might think.

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