Welcome to the Early Signal Project.

We’re a non-profit that combines academic records, attendance trends, and weekly sentiment check-ins to detect early signs of socio-emotional risk in middle and early high school students. Each week, counselors and teachers receive a concise risk report, complete with explanation of key drivers, so they can step in with targeted interventions before students fall behind or crisis strikes. Our mission is to foster resilient school communities where every student’s emotional health is identified, supported, and protected.

Important Information

A cornerstone of the Early Signal Project, these documents establish a transparent, privacy-compliant framework for ethical data use, ensuring informed parental consent, secure data handling, FERPA-aligned practices, and collaborative school partnerships that prioritize student well-being.

  • Early Signal Project – Cross‑Mapping of Documents to Sources

    The content outlines various documents and protocols essential for data sharing and confidentiality in educational settings, ensuring compliance with legal standards like FERPA and GDPR. It details roles, data encryption, anonymization, retention policies, consent rights, and the use of academic and emotional data to identify at-risk students and safeguard their information.

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  • Weekly Pulse Survey – Question-to-Risk Mapping Matrix

    The survey includes items assessing emotional regulation, social connectedness, academic engagement, adult support, physical well-being, stress levels, and sleep patterns. Low scores indicate potential risks like stress, isolation, disengagement, and lack of support, while open reflections provide qualitative insights. Responses indicate help-seeking behavior readiness among students.

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  • Weekly Student Pulse Survey

    The content focuses on a survey aimed at identifying students who may feel stressed or disconnected, allowing for timely support from counselors and teachers. It reassures students about privacy and includes sections on emotional well-being, stress levels, and optional reflections, fostering a supportive school environment.

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  • Example Data

    Example data

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  • Data Schema

    The content outlines a comprehensive student profile schema that includes demographics, household information, academic performance, mental health, wellbeing metrics, and system metadata. Key fields encompass age, gender, family background, education, academic engagement, attendance, and mental health evaluations, ensuring a holistic view for assessment and support.

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  • The Data We Collect

    The Early Signal Project utilizes demographic, academic, mental health, and wellbeing data to support students effectively. By analyzing these aspects while prioritizing privacy and consent, the project aims to identify students at risk of academic or emotional struggles early on, ensuring they receive necessary support and understanding.

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Stories

A strong community doesn’t just surround a student, it uplifts, protects, and grows with them. When we connect data with compassion, we build schools where no one slips through the cracks.

Behind every data point is a student with a story. Our mission is to ensure those stories are heard before they become cries for help, and to empower educators with the insights to act before it’s too late.”

William Aubrey

Founder: Early Signal Project