Our Research
All of our athletes are committed to achieve their very best, with a strong motivation to succeed in their varsity, college and national team careers. As an organization, we will continue to find new opportunities to support them. Learning, scientific research and development is a core part of our DNA, and 7D Athletics is at the forefront of applying research and development in youth athlete performance and team sports optimization.
Dr. Peter Olausson PhD
Our Science and Technology program is under the direction of Dr. Peter Olausson, who is a Cognitive Systems researcher and former Yale University Neuroscientist. Peter was an elite athlete in his youth, and selected to the Swedish National Team between 1992-2000. He ended his athletic career after competing in the 2000 ISU World Championships. He knows the value of utilizing new insights and tools to gain a competitive advantage in elite sports.
Our research is currently focused on 4 inter-connected areas that utilizes a combination of human factors and data observations to create opportunities for enhanced athletic growth and performance, both for our athletes as individuals and in teams.
Current Research Projects
Predicting Performance
Goal
We identify composite signals from a combination of measures and behaviors that predict in-game performance, individually and as a team. We will use these signals to support our athletes to perform at the peak while reducing the impact of negative events.
Optimizing Team Composition
Goal
Use advanced scientific tools for understanding player styles, coaching strategies and team dynamics with the goal of composing maximally efficient teams and line-ups.
Technology-Enhanced Training
Goal
We conduct controlled outcome research using longitudinal analysis of technology-enhanced training methods. These include biometric sensors, AI-enhanced training, video analyses, and deep analytics.
Competitive Factors Analytics
Goal
We uncover insights into competitive factors - health, wellness, nutrition and training programs - for 10-18 year old athletes through scientific research, data collection and advanced analytics.