An Information Theoretic Approach to Originality and Bias in Science Academic Article

abstract

• We introduce an information theoretic framework for a quantitative measure of originality to model the impact of various classes of biases, errors and error corrections on scientific research. Some of the open problems are also outlined.

authors

• Kish, Laszlo
• Singh, Chanan

published proceedings

• FLUCTUATION AND NOISE LETTERS

author list (cited authors)

• Kish, L. B., Singh, C., & Erdelyi, T.

citation count

• 0

complete list of authors

• Kish, LB||Singh, C||Erdelyi, T

publication date

• June 2020

publisher

• World Scientific Publishing  Publisher

published in

• Fluctuation and Noise Letters (FNL)  Journal

keywords

• Bias
• Error Correction
• Errors
• Information Entropy
• Originality
• Political Correctness

Digital Object Identifier (DOI)

• 10.1142/S0219477520500340

start page

• 2050034

end page

• 2050034

volume

• 19

issue

• 2

URL

• http://dx.doi.org/10.1142/s0219477520500340