2026 NSCA Performance Science Integration Summit

1. Define performance integration, its benefits, and the downside of siloing expertise
2. Who's in charge? discussing the revolving door or personnel leads based on context and strategy
3. Identifying feasible and actionable integration tactics in your organization

Lecture

1. Provide an overview of the mission and history of JSCR
2. Discuss how JSCR publishes and welcomes research that can benefit the coach

Lecture

1. Understand core athlete monitoring principles. Participants will be able to explain the key principles of effective athlete monitoring, including purpose-driven data collection, simplicity, consistency, and the importance of athlete buy-in.
2. Differentiate and apply monitoring tools appropriately. Participants will be able to distinguish between external load, internal load, and wellness measures, and identify practical, low-cost tools suitable for their sporting context.
3. Translate monitoring data into training decisions. Participants will be able to interpret basic monitoring trends and apply them to make informed adjustments to training load, recovery strategies, and weekly planning.

Hands-On

1. Identify where different assessments fall in the Force Velocity curve.
2. Look at several examples of popular assessments and give a better picture of what information they provide to the practitioner.
3. Discuss the role of a Needs Analysis for the determination of an appropriate testing battery, as well as give a sport-specific example of a testing battery.

Lecture

1. Evaluate and adjust training based on real-world constraints
2. Analyze case scenarios from fire, law enforcement, and military populations and modify training programs based on operational demands, equipment load, fatigue, and injury risk.
3. Integrate evidence-based strategies to enhance performance and resilience hat improve performance while supporting long-term health and durability in tactical populations.

Hands-On

1. Conquer the hurdles that often hinder your progress
2. Learn from your setbacks and cultivate your strengths
3. Embrace habits that propel you toward success
4. Emerge as an inspiring leader who leaves an indelible mark

Lecture

1. Identify the foundational components of a sport science system (e.g., monitoring, data collection, staffing, and workflow) and differentiate which elements are essential versus optional during initial implementation.
2. Design a scalable sport science protocol that aligns with available resources, coaching demands, and athlete needs, including at least one monitoring metric and one feedback mechanism.
3. Evaluate common implementation challenges (e.g., buy-in, data overload, staffing constraints) and propose evidence-informed solutions to integrate sport science into daily training operations.

Hands-On

1. Provide an overview of the mission and history of JSCR
2. Discuss how JSCR publishes and welcomes research that can benefit the coach

Lecture

1. Understand core athlete monitoring principles. Participants will be able to explain the key principles of effective athlete monitoring, including purpose-driven data collection, simplicity, consistency, and the importance of athlete buy-in.
2. Differentiate and apply monitoring tools appropriately. Participants will be able to distinguish between external load, internal load, and wellness measures, and identify practical, low-cost tools suitable for their sporting context.
3. Translate monitoring data into training decisions. Participants will be able to interpret basic monitoring trends and apply them to make informed adjustments to training load, recovery strategies, and weekly planning.

Hands-On

1. Identify where different assessments fall in the Force Velocity curve.
2. Look at several examples of popular assessments and give a better picture of what information they provide to the practitioner.
3. Discuss the role of a Needs Analysis for the determination of an appropriate testing battery, as well as give a sport-specific example of a testing battery.

Lecture

1. 1. Evaluate and adjust training based on real-world constraints
2. Analyze case scenarios from fire, law enforcement, and military populations and modify training programs based on operational demands, equipment load, fatigue, and injury risk.
3. Integrate evidence-based strategies to enhance performance and resilience hat improve performance while supporting long-term health and durability in tactical populations.

Hands-On

1. Conquer the hurdles that often hinder your progress
2. Learn from your setbacks and cultivate your strengths
3. Embrace habits that propel you toward success
4. Emerge as an inspiring leader who leaves an indelible mark

Lecture

1. Identify the foundational components of a sport science system (e.g., monitoring, data collection, staffing, and workflow) and differentiate which elements are essential versus optional during initial implementation.
2. Design a scalable sport science protocol that aligns with available resources, coaching demands, and athlete needs, including at least one monitoring metric and one feedback mechanism.
3. Evaluate common implementation challenges (e.g., buy-in, data overload, staffing constraints) and propose evidence-informed solutions to integrate sport science into daily training operations.

Hands-On

1. How we use a machine learning model with a third party company to create risk stratification visuals.
2. How we let force plate data flag high risk athletes before practices.
3. How we use end range passive and active stability to guide programming needs.

Lecture