Mrs. wanda ottes | Bio-Mechanics | Best Researcher Award

Mrs. wanda ottes | Bio-Mechanics | Best Researcher Award

 Independent Scientific Movement, Danstec, Netherlands

Wanda Ottes is a retired Independent Scientific Movement/Dance Research Professional specializing in Laban Movement Analysis (LMA) and Laban Bartenieff Movement Studies (LBMS). As the owner of Danstec, she continues to work in dance research, co-authoring publications on LMA’s connection to the golf swing. Wanda’s expertise extends to scientific research applying LMA’s Effort Graph to text and music analysis. Her linguistic skills include translation and writing in Danish, Dutch, and English.

Professional Profile

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Education 🎓

– *Academy of Arts, Groningen*, Fashion/Design- *Wesleyan University*, MALS/Movement Exploration and Dance, LMA, LBMS- *University of Surrey*, LMA, Labanotation, Motif Writing, Effort Graph- *Goldsmiths University of London*, Dance/Laban Studies, Modern Dance, Choreography- *University of Groningen*, Scandinavian languages, literature/cultures- *Aarhus University*, Danish language/literature

Experience 💼

– *Independent Scientific Movement/Dance Research Professional*, LMA, LBMS- *Owner, Danstec*, dance research and education- *Co-author*, publications on LMA and golf swing- *Former Dancer/Choreographer/Leader*, Danstec dance group- *Guest/Workshop Teacher*, dance and Laban Movement Analysis

Research Focus 🔍

Wanda’s research focuses on applying LMA’s Effort Graph to text and music analysis, exploring the intersection of movement and language. Her work also investigates the connection between LMA and the golf swing.

Publication Top Notes

A Symmetry-Based Computational Framework for Motor Skill Optimization: Integrating Screw Theory and Ecological Perception

An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis

Conclusion

 

Wanda Ottes’ unique blend of dance, movement analysis, and language expertise, combined with her research experience and practical background, make her a strong candidate for the Best Researcher Award. Her innovative applications of LMA and interdisciplinary approach demonstrate significant potential for continued impactful research [1].