IARPA in the News 2014


For years, and with many false starts and failed attempts, researchers have sought to develop ways to raise the IQ of the average human, for obvious reasons: Smarter humans would, they assume, be fitter, happier and more productive.

No one needs intelligence more than the military. That's why the U.S. armed forces and intelligence services are working on a stunning array of pioneering brain development techniques that could one day make their way into civilian life. The intelligence community’s advanced research organization wants to find live, real-world cyberattack data to test incursion detection techniques used by large organizations.

Slate Magazine

The date is June 30, 2012. Computer scientist Naren Ramakrishnan is in his Virginia Tech lab watching a map of the Americas on his computer screen. A band of hundreds of red dots hovers over Mexico City; another band is over the Brazil–Paraguay border. The dot cluster is ringed by concentric circles of yellow, green, and blue. It looks almost like a radiant heat map, as though the capital of Mexico and the Brazilian border town of Foz do Iguaçu are on fire, but they aren’t—at least, not yet. These dots represent geotagged tweets containing the terms “país,” “trabajador,” “trabaj,” “president,” and “protest.” The controversial Enrique Peña Nieto is about to be officially elected the president of Mexico, and the geotagged tweets represent a march taking form to protest his election.


In the security business one can never have enough trust. And one government group now wants your help in developing a software program that could help decide who's trustworthy and who isn't.

A software competition announced recently by the Intelligence Advanced Research Project Activity (IARPA) group is looking to the public to develop what it calls an "algorithm that identifies and extracts such signals from data recorded while volunteers engaged in various types of trust activities.

SIGNAL Magazine

Who can you trust? The answers to that question can be both difficult and essential for society in general, but particularly vital for the intelligence community. So what if an algorithm existed that could identify neural, psychological, physiological and behavioral signals to determine a person's trustworthiness? Thanks to a new competition from the Intelligence Advanced Research Projects Activity (IARPA), that could be possible.


In its first ever challenge contest, the Intelligence Advanced Research Projects Activity is seeking to use data to measure the trustworthiness of individuals.

IARPA, part of the Office of the Director of National Intelligence, announced the challenge Feb. 19. The idea is to use neural, psychological, physiological, and behavioral data from one individual responding to the actions of another, to determine how a person responds to someone who is trustworthy and someone who isn't.

Contestants will have to submit algorithms that can analyze the person's responses to the partner to judge the partner's trustworthiness.