Nock Lab at Harvard

Nock Lab at Harvard

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Our goal is to advance the understanding of why people engage in behaviors that are harmful to themselves. Follow us to learn more about our research!

Welcome to the Nock Laboratory at Harvard University! The primary goal of our research is to advance the understanding of why people engage in behaviors that are harmful to themselves, with a special emphasis on suicide, self-injury, and other forms of direct self-harm. Our research is multi-disciplinary and uses a range of methodological approaches to better understand how these behaviors develop

Happy with a 20% chance of sadness 11/02/2018

Nice review in Nature of new work using mobile tech to predict and prevent su***de (featuring some work from our lab).

Happy with a 20% chance of sadness Researchers are developing wristbands and apps to predict moods — but the technology has pitfalls as well as promise.

03/01/2018

Congratulations to the amazing Evan Kleiman on accepting a position as the newest Assistant Professor of Psychology at Rutgers University! We are so proud of you Evan!!!

Matthew Nock - Teachers Make a Difference - Frank Nock 02/27/2018

Matthew Nock on the importance and value of good mentors.

Matthew Nock - Teachers Make a Difference - Frank Nock Professor Nock received his Ph.D. in psychology from Yale University (2003) and completed his clinical internship at Bellevue Hospital and the New York Unive...

02/27/2018

New brief video with Matthew Nock on the work we do (and why).

The accuracy, fairness, and limits of predicting recidivism 01/29/2018

Nice example of how 'fancier' models with more predictors are not always better.

The accuracy, fairness, and limits of predicting recidivism Algorithms for predicting recidivism are commonly used to assess a criminal defendant’s likelihood of committing a crime. These predictions are used in pretrial, parole, and sentencing decisions. Proponents of these systems argue that big data and advanced machine learning make these analyses more...

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Location

Address


33 Kirkland Street
Cambridge, MA
02138