If you are interested in making a little money while supporting efforts to enhance both personal and national security, you might want to consider participating in the SecureUS 3.0 Study.
The SecureUS 3.0 Study is sponsored by the Intelligence Advanced Research Projects Activity (IARPA) and is a collaborative effort of IARPA, the Johns Hopkins University Applied Physics Laboratory (JHU/APL), and the National Institute of Standards and Technology (NIST).
The objective of this study is to compare newly developed facial, iris, and fingerprint biometric systems to the most commonly used, commercially available systems. Specifically, the study will evaluate how effectively these systems can detect tactics designed to deceive the systems. Advanced biometric technologies that detect these deceptions effectively can help protect personal information and enhance our national security.
The study will take place weekdays November 4-15, 2019. Participation is by appointment only.
We need help from people like you to accomplish our goals. To complete the SecureUS 3.0 Study we need more than 600 volunteer participants to help us test the latest biometric sensor technologies so that we can compare them to the most commonly used, commercially available systems. Resources from around the world are supporting this effort to advance biometric technologies that can help enhance personal and national security.
Participants will be compensated $125 after completing the full test session. Additionally, your participation in the SecureUS 3.0 Study supports efforts to enhance personal and national security through science and technology.
You may be eligible to participate if you are:
You may not be eligible to participate if you:
The first step is to complete the online screening process. The SecureUS 3.0 Study Web Screener provides additional information about the study and includes questions designed to determine if you are a good candidate for the study. The Web Screener also includes questions designed to collect demographic data that will support our research and strengthen the analysis of the data we collect. If you are interested in participating and think you might be a candidate, click the Web Screener link below: