Generate
Create useful signals.
Help leaders and prevention teams define the question, steward the data, and develop responsible unit-level signals.
AI-assisted predictive analytics
Identify early signals. Enable proactive action.
Prevent harm through evidence-based human care.
MP2 is a community of researchers, prevention practitioners, clinicians, data experts, and military leaders. Together, we help leaders generate and interpret responsible, AI-assisted, unit-level signals; use those signals to inform evidence-based interventions; and turn the approach into durable organizational systems.
Human-led by design. AI helps surface patterns; people provide context, judgment, and care. MP2 does not score individuals or automate decisions.
An independent military prevention research collaborative.
Protect people
Strengthen teams
Support leaders
Advance prevention
01 The mission
Protect service members before harm escalates.
Military leaders across the joint force are often asked to respond after a harmful event has already occurred. Prevention starts earlier: recognizing changing conditions inside units, listening closely, and connecting people to the right support at the right time.
Our purpose: connect military leaders, researchers, clinicians, prevention practitioners, and data experts to generate, test, preserve, and translate evidence that helps military organizations prevent suicide and other harmful behaviors before crises occur—and turn effective approaches into repeatable prevention practice.
The technology can surface a signal. People must supply context, care, accountability, and judgment.
Interpret
Put signals in context.
Combine analysis with conversations, local knowledge, and professional expertise to inform evidence-based interventions.
Institutionalize
Build durable prevention systems.
Turn repeatable methods, governance, and learning routines into durable systems that improve and survive turnover.
02 How we work
Build a prevention community—and the capability to act.
MP2 connects researchers, practitioners, clinicians, data experts, and military leaders as a learning community—rigorous enough to test new methods, practical enough to teach evidence-informed action, and durable enough to build repeatable prevention capability.
01
Connect
Bring together military leaders, practitioners, researchers, clinicians, data stewards, and people with lived experience around shared prevention problems.
02
Study
Sponsor rigorous pilots, replications, and evaluations that examine outcomes, implementation, and unintended effects.
03
Preserve
Keep useful measures, methods, code, and findings accessible so hard-won learning survives turnover and can be tested again.
04
Equip
Teach leaders and prevention teams to generate, interpret, and communicate signals; select evidence-based interventions; and build repeatable organizational systems.
03 Prevention in practice
A signal matters only when it leads to care.
MP2 grows from years of field research on harmful behaviors, organizational culture, readiness, and human performance. Across that work, one lesson is consistent: data should inform leadership, never replace it.
Unit-level warning signals can help leaders direct scarce time and attention. But a responsible prevention system also requires diagnosis, tailored support, follow-through, and honest evaluation.
- 1SeeUse minimum-necessary data and disciplined observation to generate responsible unit-level signals.
- 2UnderstandInterpret signals with leader sensing, professional expertise, and local context.
- 3SupportUse evidence to select and tailor interventions to the unit’s actual needs.
- 4LearnMeasure outcomes and embed what works in organizational routines that survive turnover.
04 Research principles
Protect people in the work—and through the work.
Credible prevention demands rigorous methods, explicit limits, careful stewardship, and respect for every person represented in the evidence.
Prevention, not prediction
Study modifiable organizational conditions and protective factors—not who an algorithm claims may cause harm.
Support, not surveillance
Use unit-level or deidentified information by default. Never build individual risk scores for adverse personnel action.
Minimum necessary data
Collect and retain only what a responsible research or prevention purpose truly requires.
Transparent evidence
Share uncertainty, null results, model drift, implementation failure, and credible alternative explanations.
Independent inquiry
Protect research questions and findings from sponsor, donor, vendor, or command pressure.
Human judgment
Put leaders, practitioners, and people with lived experience at the center of interpretation and action.
05 Selected research
The work behind the mission.
MP2’s agenda is joint: develop evidence and methods that can be tested responsibly across every military service. These public case studies retain the context in which the research began.
Origin story DVIDS · April 2024
The Project Prevention Journey: Raider Analytics, Innovation, and Data Team (RAID-T) Efforts to Forecast and Reduce Harmful Behaviors
The work that became MP2 began with a commander confronting a surge of harmful incidents and asking how to focus scarce leader attention before the next crisis. That question grew into RAID-T, a volunteer coalition of leaders, data practitioners, and software developers inside 1st Stryker Brigade Combat Team.
RAID-T combined recorded unit-level incident patterns with local context and human care. Its Unit Risk Forecasting Tool generated early-warning signals so command teams and prevention professionals could look closer, tailor support, and learn from outcomes. MP2 carries that field-born logic forward across the joint force.
Historical note: “Project Prevention” was the working name used by the Army effort described in this 2024 story. The current organization is Mission: Prevent & Protect (MP2).
Read the origin story
Protecting Soldiers, Preventing Harmful Behaviors, and Boosting Combat Readiness—with Data
The clearest statement of the prevention mission: use unit-level evidence to help leaders intervene earlier while preserving human judgment.
Read the article
Can We Predict Soldier Harmful Behaviors? Proposing the Unit Risk Forecasting Model
The predictive base model for understanding short-term unit-level incident patterns—not an individual risk score.
Read the paper
Taking a Data-Centric Approach to Unit Readiness: Leveraging Analytics in a Brigade Combat Team
A field-tested method for turning operational questions and messy data into decision-relevant insight.
Read the article
What Can We Learn from Measuring Unit Culture? Preliminary Evidence from a Data-Centric Approach to Organizational Performance
Evidence on how culture, inspiration, and leader behavior relate to cohesion, performance, and harmful behaviors.
Read the article
Can Biometric Data Make Units More Combat Ready? Yes, and this Brigade Gunnery Exercise Showed How
A case for using human-performance data carefully to inform training, recovery, and leader decisions.
Read the article