Personal Data and Power Asymmetries in U.S. Collegiate Sports Teams

2020 ◽  
Vol 4 (GROUP) ◽  
pp. 1-27
Author(s):  
Samantha Kolovson ◽  
Calvin Liang ◽  
Sean A. Munson ◽  
Kate Starbird
Keyword(s):  
Personal Data ◽  
Collegiate Sports ◽  
Sports Teams ◽  
Power Asymmetries

Summary and Conclusion

2020 ◽  
pp. 471-478
Author(s):  
Jef Ausloos
Keyword(s):  
Data Protection ◽  
Personal Data ◽  
Central Question ◽  
Power Asymmetries ◽  
The Face ◽  
The Right ◽  
Data Subject

The last chapter of this book summarises the main points of all individual chapters. As such, it tries to frame a more comprehensive answer to the central question throughout the book: i.e. does the right to erasure meaningfully contribute to safeguarding the fundamental right to data protection in the face of online power asymmetries? In traditional lawyer-fashion, the answer is 'yes... but', with the 'but' referring to several potential hurdles that might obstruct an effective exercise of the right to erasure. Importantly, data subject rights can be powerful tools not just to safeguard the fundamental right to data protection, but many other Charter provisions as well. The chapter concludes that the right to data protection not only implies the freedom to proactively control one's personal data, but also safeguards that freedom from being effectively usurped (e.g. by commercial, technological or bureaucratic forces). The GDPR contributes to this aim both by concrete empowerment tools, as well as by turning the processing of personal data into a liability.

A 40-year Examination of the Experiences of Women in Coaching

2013 ◽  
Vol 6 (2) ◽  
pp. 190-193
Author(s):  
Lauren Deckelbaum
Keyword(s):  
Title Ix ◽  
The United States ◽  
Research Articles ◽  
Collegiate Sports ◽  
Sports Teams ◽  
The Past ◽  
Collegiate Level ◽  
Female Sports ◽  
Experiences Of Women ◽  
Female Coaches

Since the passage of Title IX in 1972, the number of female coaches in the United States has grown due to an increased number of female sports offered at the collegiate level. However, the percent of female collegiate sports teams coached by women has dropped from 90% to 42.9% (Acosta & Carpenter, 2012) suggesting that female coaches are not benefiting from the growth in women’s athletic opportunities. The purpose of this project was to examine research articles published within the past 40 years that focused on female coaches to understand the female coaches’ experiences.

Introduction

2020 ◽  
pp. 1-34
Author(s):  
Jef Ausloos
Keyword(s):  
Personal Data ◽  
Loss Of Control ◽  
Real Word ◽  
Power Asymmetries ◽  
Economic Trends

Chapter 1 sets the scene for this book. It does so by charting some of the main technological and economic trends underlying today's information-driven power asymmetries and individuals' loss of control over (personal) data. This is made concrete in four real-word vignettes (on Uber, Facebook, Google and Apple), each highlighting different problematic facets and featuring throughout the rest of the book. The Chapter ends with providing a roadmap for the book as a whole, explaining the central themes and questions and how they relate to one another.

Attributions of Athletes on Collegiate Sports Teams

2004 ◽  
Vol 99 (3) ◽  
pp. 799-810 ◽  
Author(s):  
Darhl M. Pedersen ◽  
Craig L. Manning
Keyword(s):  
Collegiate Sports ◽  
Sports Teams

Enhancing performance in sports teams with ProMES

2010 ◽  
Author(s):  
Colin Roth ◽  
Daniel A. Schmerling ◽  
Nick C. Koenig ◽  
Brandon L. Young ◽  
Robert D. Pritchard
Keyword(s):  
Sports Teams

Sex differences in exclusion and aggression on single-sex sports teams.

2020 ◽  
Author(s):  
Robert O. Deaner ◽  
Amanda McClellan ◽  
Virgil Zeigler-Hill ◽  
Joyce F. Benenson
Keyword(s):  
Sex Differences ◽  
Sports Teams ◽  
Single Sex

SARI : A User-Oriented Data Bank System for Medical Applications

1976 ◽  
Vol 15 (02) ◽  
pp. 69-74
Author(s):  
M. Goldberg ◽  
B. Doyon
Keyword(s):  
Data Base ◽  
Personal Data ◽  
Data Bank ◽  
Medical Applications ◽  
Basic Principles ◽  
Base Management ◽  
General Data ◽  
Privacy Problem ◽  
Bank System ◽  
Made In

This paper describes a general data base management package, devoted to medical applications. SARI is a user-oriented system, able to take into account applications very different by their nature, structure, size, operating procedures and general objectives, without any specific programming. It can be used in conversational mode by users with no previous knowledge of computers, such as physicians or medical clerks.As medical data are often personal data, the privacy problem is emphasized and a satisfactory solution implemented in SARI.The basic principles of the data base and program organization are described ; specific efforts have been made in order to increase compactness and to make maintenance easy.Several medical applications are now operational with SARI. The next steps will mainly consist in the implementation of highly sophisticated functions.

Measurements method of the audio recordings acoustic quality indicator prepared for registration and processing in the Unified Biometric System

2019 ◽  
pp. 40-46 ◽  
Author(s):  
V.V. Savchenko ◽  
A.V. Savchenko
Keyword(s):  
Quality Control ◽  
Small Sample Size ◽  
Personal Data ◽  
Digital Processing ◽  
Small Sample ◽  
Practical Implementation ◽  
Acoustic Measurements ◽  
Pitch Frequency ◽  
Wide Range ◽  
Automated Quality Control

We consider the task of automated quality control of sound recordings containing voice samples of individuals. It is shown that in this task the most acute is the small sample size. In order to overcome this problem, we propose the novel method of acoustic measurements based on relative stability of the pitch frequency within a voice sample of short duration. An example of its practical implementation using aninter-periodic accumulation of a speech signal is considered. An experimental study with specially developed software provides statistical estimates of the effectiveness of the proposed method in noisy environments. It is shown that this method rejects the audio recording as unsuitable for a voice biometric identification with a probability of 0,95 or more for a signal to noise ratio below 15 dB. The obtained results are intended for use in the development of new and modifying existing systems of collecting and automated quality control of biometric personal data. The article is intended for a wide range of specialists in the field of acoustic measurements and digital processing of speech signals, as well as for practitioners who organize the work of authorized organizations in preparing for registration samples of biometric personal data.

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