Add to ORKGAs the importance and prevalence of sports analytics grows, so does the inequality in sports data. In this paper we examine two main sources of such disparity - the perceived hierarchy of sports and privatization of data. We argue that such inequality hurts the sports analytics community in the short and long terms, and suggest ways for the deep-learning, AI, and sports analytics communities to help mitigate the issue. Keywords: Sports Analytics; AI; Team Sports; Diversit
abstract: The beautiful game is unpredictable. Arguably half of soccer is entirely out of our contro...
This paper explores the notion that the availability and analysis of large datasets has the capacity...
Professional sports is an area with huge economical and societal impact. However, so far it has rece...
The increase in the use of analytic measurements and technology in professional sports has grown and...
Sports analytics had its public breakthrough as early as the 1970s when baseball enthusiasts started...
Big data analytics is a modern approach to analyzing information that has significantly inflected cr...
The application of Data Science and Analytics to optimize or predict outcomes is Ubiquitous in the M...
How can you tell whether a particular sports dataset really adds value, particularly with regard to ...
Big data analytics is a form of digital transformation that has changed activities within various se...
This paper presents a landmark study of equity, diversity and inclusion (EDI) in the field of sports...
The use of sports analytics has provided fans with a new experience while leading a revolution for s...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and ...
The trends towards Big Data have influenced many business sectors of the economy. Data Analytics wer...
Business analytics, defined as the use of data to make better, more relevant, evidence-based busines...
This chapter considers how technological developments have impacted on the use of data to manage per...
abstract: The beautiful game is unpredictable. Arguably half of soccer is entirely out of our contro...
This paper explores the notion that the availability and analysis of large datasets has the capacity...
Professional sports is an area with huge economical and societal impact. However, so far it has rece...
The increase in the use of analytic measurements and technology in professional sports has grown and...
Sports analytics had its public breakthrough as early as the 1970s when baseball enthusiasts started...
Big data analytics is a modern approach to analyzing information that has significantly inflected cr...
The application of Data Science and Analytics to optimize or predict outcomes is Ubiquitous in the M...
How can you tell whether a particular sports dataset really adds value, particularly with regard to ...
Big data analytics is a form of digital transformation that has changed activities within various se...
This paper presents a landmark study of equity, diversity and inclusion (EDI) in the field of sports...
The use of sports analytics has provided fans with a new experience while leading a revolution for s...
Sophisticated data analytical methods such as data mining, where the focus is upon exploration and ...
The trends towards Big Data have influenced many business sectors of the economy. Data Analytics wer...
Business analytics, defined as the use of data to make better, more relevant, evidence-based busines...
This chapter considers how technological developments have impacted on the use of data to manage per...
abstract: The beautiful game is unpredictable. Arguably half of soccer is entirely out of our contro...
This paper explores the notion that the availability and analysis of large datasets has the capacity...
Professional sports is an area with huge economical and societal impact. However, so far it has rece...