Project Implicit: Harvard
Project Implicit is a non-profit organization and international collaboration between researchers who are interested in implicit social cognition – thoughts and feelings outside of conscious awareness and control. The goal of the organization is to educate the public about hidden biases and to provide a “virtual laboratory” for collecting data on the Internet.
Project Implicit was founded in 1998 by three scientists – Tony Greenwald (University of Washington), Mahzarin Banaji (Harvard University), and Brian Nosek (University of Virginia). Project Implicit Mental Health launched in 2011, led by Bethany Teachman (University of Virginia) and Matt Nock (Harvard University). Project Implicit also provides consulting services, lectures, and workshops on implicit bias, diversity and inclusion, leadership, applying science to practice, and innovation. If you are interested in finding out more about these services, visit https://www.projectimplicit.net.
Whichever IAT you do, we will ask you (optionally) to report your attitudes toward or beliefs about these topics, and provide some general information about yourself. These demonstrations should be more valuable if you have also tried to describe your self-understanding of the characteristic that the IAT is designed to measure. Also, we would like to compare possible differences among groups in their IAT performance and opinions, at least among those who decide to participate.
Data exchanged with this site are protected by SSL encryption, and no personally identifying information is collected. IP addresses are routinely recorded, but are completely confidential.
Important disclaimer: In reporting to you results of any IAT test that you take, we will mention possible interpretations that have a basis in research done (at the University of Washington, University of Virginia, Harvard University, and Yale University) with these tests. However, these Universities, as well as the individual researchers who have contributed to this site, make no claim for the validity of these suggested interpretations. If you are unprepared to encounter interpretations that you might find objectionable, please do not proceed further. You may prefer to examine general information about the IAT before deciding whether or not to proceed.