{"id":1163,"date":"2023-08-09T16:06:11","date_gmt":"2023-08-09T16:06:11","guid":{"rendered":"https:\/\/experience.syracuse.edu\/community-standards\/?page_id=1163"},"modified":"2026-01-12T16:43:27","modified_gmt":"2026-01-12T16:43:27","slug":"aggregated-data","status":"publish","type":"page","link":"https:\/\/experience.syracuse.edu\/community-standards\/aggregated-data\/","title":{"rendered":"Aggregated Data"},"content":{"rendered":"\n

Reporting Process<\/h2>\n\n\n\n

STOP BIAS reports are initiated by the reporting party, who may or may not be the impacted party\/parties. Once a report is made to the University, the reporter receives an automatic acknowledgment of their submission, followed by contact from the University, if requested, within three (3) business days (and usually more quickly). STOP Bias staff\/Community Standards, the Department of Public Safety (if requested by the reporter or otherwise warranted), or another member of the Student Experience Division team will contact the reporter to gather more information about the incident and identify options and next steps, which can include referral to the conduct process, Human Resources, or any other appropriate intervention.<\/p>\n\n\n\n

Additional University departments, such as the Dean of Students, Office of People and Culture, Student Outreach and Support, Title IX, and the Barnes Center at The Arch will be notified, as appropriate, to provide support. Support service referrals may be declined by the reporting or impacted party\/parties.<\/p>\n\n\n\n

Reports to STOP BIAS are not included in the Department of Public Safety\u2019s bias incident tracker unless the reporter chooses to refer the incident to the Department of Public Safety, or the nature of the incident requires DPS involvement. To report an incident directly to the Department of Public Safety, please refer to the options on the report a crime page<\/a>.<\/p>\n\n\n\n

Fall 2022 Reported Bias Incidents<\/h2>\n\n\n\n

Reports have been classified into the categories of bias motivated speech<\/strong> and bias motivated conduct <\/strong>for the purpose of reporting aggregate bias related data. A third category, non-bias incidents<\/strong>, refers to reports of speech and\/or conduct which, on the face of the report, does not describe an act or expression of hostility against a person or property of another because of the targeted person\u2019s or group\u2019s real or perceived race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, political affiliation, reproductive health decisions and\/or veteran status. Some reports, which are received by STOP BIAS and are included in the bias motivated speech and bias motivated conduct reports, are ultimately found\u2014following an investigation\u2014not to constitute a bias motivated incident.<\/p>\n\n\n\n

Bias Motivated Speech<\/strong> is defined as written or verbally communicated language (words said in person, in conversation, printed, or visual communications in electronic form [emails, texts, social media]) targeting a person or group\u2019s protected characteristics. This includes but is not limited to: verbal\/written harassment; language or speech (as defined above) that perpetuates a stereotype; use of a slur\/epithet; use of a derogatory symbol or image; or unfair treatment.<\/p>\n\n\n\n

Bias Motivated Conduct<\/strong> is defined as physical acts or behaviors targeting a person or group\u2019s protected characteristics. This includes but is not limited to: intimidation; threats; physical assault; vandalism; damage or destruction of property; acts that perpetuates a stereotype; or use of a derogatory symbol or image during an act.<\/p>\n\n\n\n

An Important Note About the Information Below<\/h3>\n\n\n\n

A single reported incident could be counted more than once within some of the tables below if multiple identities and\/or behaviors were included in the report. Therefore, some numbers below are larger than the total number of reports.<\/p>\n\n\n

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Fall 2022 Breakdown of All Reports by Type of Bias<\/h3>\n\n\n\n
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