Beacon is a machine-learning solution that notifies pre-determined school staff of instances where students may be at risk of suicide, self-harm, or potential harm to others. Beacon was designed to help school staff proactively identify at-risk students and quickly facilitate a response.
Beacon is a multi-class classifier machine learning model built to identify students’ online behaviors that could be indicative of suicide or self-harm by analyzing their browsing across all student content. This includes search engines, social media, email, web apps, and more. Beacon shows a holistic view of the student's online behavior.
Based on search content, Beacon can also alert staff to potential student safety threats or violence.
Schools can tailor the tool to complement their existing suicide prevention protocol, ultimately notifying and empowering key stakeholders with information to get students to help as fast as possible. School staff can involve the entire school community as part of this program, including staff, parents, and students directly.
Licensed U.S. Patent Numbers: 10,313,532; 10,285,025; 10,057,300; 10,009,480; 9,237,433; 9,137,389; 9,137,386; 9,125,057; 8,995,952; 8,929,857; 8,918,080; 8,774,755; 8,774,754; 8,755,768; 8,731,517; 8,725,109; 8,712,371; 8,706,079; 8,667,559; 8,644,796; 8,639,216; 8,634,803; 8,634,802; 8,634,801; 8,630,612; 8,611,885; 8,600,348; 8,594,619; 8,588,735; 8,285,249; 8,078,140; 7,945,238; 7,899,438; 7,881,697; 10,555,140.