Report Bias
This website provides students, faculty, staff, alumni, and guests with a Penn State User ID with a web form for reporting acts of bias that occur at Penn State. Students may use the form to report any act of bias they experience themselves or observe directed against anyone else. Penn State students may also submit a report by contacting the 24-Hour Hotline at 1-800-560-1637.
Faculty and staff should only use the form to report acts they observe that are directed against students. If no student is involved, faculty and staff should contact the Affirmative Action Office at 814-863-0471.
Statement of Confidentiality
Responses submitted through the form are encrypted and sent to a secure server. Only Penn State constituents may use the system. The system requires users to logon with a valid Penn State username and password. Should a report indicate or imply that the user or someone else is in danger, the report will be turned over to appropriate Penn State personnel. Reports could also be turned over if required for compliance with FERPA and/or other state and federal privacy laws. Also, reports are subject to subpoena under certain circumstances.
Emergencies
Please do not use the Report Bias web form if you are currently in a situation where immediate medical, police, psychological, or other emergency services are needed. In case of an emergency, call 911 to reach the appropriate services. If you or someone you know is in an emergency situation that does or could require medical, psychological, or police services, please call 911 or University Police & Public Safety at 814-863-1111.
Bias Motivated Incidents Reports
2021-2022 Bias Motivated Incidents Annual Report [PDF: 02-21-2023]
2020-2021 Bias Motivated Incidents Annual Report [PDF: 09-29-2021]
2019-2020 Bias Motivated Incidents Annual Report [PDF: 02-09-2021]
2018-2019 Bias Motivated Incidents Annual Report [PDF: 12-04-2019]
Bias Motivated Incidents Reports Archive
Protocol for Responding to Bias Motivated Incidents
Penn State's Protocol for Responding to Bias Motivated Incidents [PDF: 11-13-2020]