In this episode, Carmen shares the story of her career, from an unexpected switch from behavioural psychology and criminology into kinesiology, through to working with university teams, NHL athletes, national-level performers and young athletes returning from serious injury.

The conversation explores what kinesiology actually means, how it sits alongside strength and conditioning, and why understanding the sport is just as important as understanding the science. Carmen also discusses the communication challenges that can arise between practitioners, coaches and athletes, particularly when return-to-play decisions are being made under pressure.

Richard and Carmen then take a deeper look at ACL rehabilitation. They discuss why training age matters, how the rehab journey differs between a professional athlete and a young adolescent athlete, and why parents can play such an important role in the process. Carmen also breaks down the place of isometrics, dynamic strength training, plyometrics and force progression in ACL rehab, while offering a clear, practical view of what effective exercise prescription should look like.

Finally, Carmen gives her thoughts on artificial intelligence in sports science and rehabilitation. While AI may help with programming and exercise selection, she explains why coaching, communication, technical feedback and human connection remain central to helping athletes return to performance safely and confidently.

In this episode you will learn

• What kinesiology is and how it differs from strength and conditioning
• Why practitioners need to understand the language and demands of the sport they work in
• How to communicate more effectively with coaches during return-to-play decisions
• Why ACL rehabilitation must be adapted to the athlete’s training age and experience
• The key differences between rehabbing a professional athlete and an adolescent athlete
• Why parents can be critical in supporting youth athletes through injury rehabilitation
• How isometrics, dynamic strength training and plyometrics fit into ACL rehab
• Why force progression matters when preparing athletes for sprinting, cutting and collision demands
• Where AI can support practitioners — and where it cannot replace real coaching

About Carmen Bott
Carmen Bott is a Certified Strength and Conditioning Specialist, Practicing Kinesiologist, Sports Performance Coach and Educator based in Canada. She holds a Master’s degree in Exercise Science and has worked with athletes from learn-to-train level through to high performance and professional sport.

Carmen’s work spans physical preparation, ACL rehabilitation, return to play, collision sport athletes, multi-directional speed coaching and mental performance. She is also a university lecturer and has been teaching since 2005.

You can find Carmen on Instagram at @coachbott

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Emily has spent the past decade building and refining a sports science model within a relatively small department, working primarily with men’s and women’s soccer and volleyball. Alongside her role at Marquette, she also contributes to U.S. Soccer in a high-performance capacity.

In this conversation, we explore one of the most pressing challenges in applied sports science: how do you simplify complex data streams so they become actionable for coaches and meaningful for athletes?

From acute:chronic workload ratios and GPS monitoring to return-to-play frameworks and Power BI dashboards, Emily shares how she transformed “expensive toys” into effective performance tools.

She discusses the importance of visualisation, collaboration with data engineers, humility in decision-making, and why the “eyeball test” still matters in a world driven by wearables and AI.

For practitioners working in elite sport, or those building systems within constrained environments, this episode offers practical insight into making sports science more impactful, not just more complex.

In this episode you will learn:

• How to simplify GPS and workload data for real-world application
• Why acute:chronic workload ratios are a framework — not a solution
• How to build effective data visualisations that coaches actually use
• The difference between “expensive toys” and performance tools
• How to structure phased return-to-play models with clear definitions
• Why collaboration with data engineers and academics can transform departments
• How to educate athletes in an era of AI, social media and misinformation
• Why patience and long-term development still matter
• How to adapt sports science systems in the transfer-portal era
• Why relationships remain more important than technology

About Emily Jacobson
Emily Jacobson is the Assistant Director of Sports Performance at Marquette University, where she has worked for the past 10 seasons. A former Marquette women’s soccer student-athlete, she now oversees sports science and performance systems across multiple programmes, with a particular focus on soccer and volleyball.

She has helped develop load monitoring models, return-to-play protocols and data visualisation systems that integrate GPS, velocity-based training, force plates, motion capture and body composition analysis.

In addition to her work at Marquette, Emily serves as a network employee within U.S. Soccer’s high-performance department.

Her approach combines applied performance coaching, collaborative analytics, and a strong emphasis on education and athlete relationships.

FREE 7d SCIENCE FOR SPORT ACADEMY TRIAL

SIGN UP NOW: https://bit.ly/SFSepisode241

​ Learn Quicker & More Effectively
​ Optimise Your Athletes' Recovery
​ Position Yourself As An Expert To Your Athletes And Naturally Improve Buy-In
​ Reduce Your Athletes' Injury Ratese
​ Save 100's Of Dollars A Year That Would Otherwise Be Spent On Books, Courses And More
​ Improve Your Athletes' Performance
​ Advance Forward In Your Career, Allowing You To Earn More Money And Work With Elite-Level Athletes
​ Save Yourself The Stress & Worry Of Constantly Trying To Stay Up-To-Date With Sports Science Research