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dsld: A Socially Relevant Tool for Teaching Statistics

Abdullah, Taha, Ashok, Arjun, Estrada, Brandon, Matloff, Norman, Mittal, Aditya

arXiv.org Artificial Intelligence

The growing power of data science can play a crucial role in addressing social discrimination, necessitating nuanced understanding and effective mitigation strategies of potential biases. Data Science Looks At Discrimination (dsld) is an R and Python package designed to provide users with a comprehensive toolkit of statistical and graphical methods for assessing possible discrimination related to protected groups, such as race, gender, and age. Our software offers techniques for discrimination analysis by identifying and mitigating confounding variables, along with methods for reducing bias in predictive models. In educational settings, dsld offers instructors powerful tools to teach important statistical principles through motivating real world examples of discrimination analysis. The inclusion of an 80-page Quarto book further supports users, from statistics educators to legal professionals, in effectively applying these analytical tools to real world scenarios.


This Machine Learning Research Finds The Relationship Between Body Shape And Income

#artificialintelligence

A new study published in the journal PLOS One revealed a link between a person's body type and their family's earnings. According to the study's findings, physically appealing people are likely to earn more than those who aren't. According to researchers, the beauty premium is a reality. However, a University of Iowa associate professor and his colleagues found that the metrics employed to assess physical attractiveness had some severe shortcomings. Most earlier studies frequently defined physical appearance from subjective evaluations based on surveys. In addition, these metrics are too simplistic to provide a thorough description of body forms.


Short men and obese women earn $1,000 less a year than taller, thinner people, study warns

Daily Mail - Science & tech

Short men and obese women earn up to $1,000 (£700) less per year than their taller, skinnier counterparts, according to a new study into body shape and salary. This is evidence of a long suspected'beauty premium' that suggests physical attractiveness demands a higher value in the labour market, according to lead author Suyong Song from the University of Iowa. Researchers examined data from 2,383 volunteers, including whole body scans and information on their family income and gender. They found that in men earning over $70,000 (£50,000) per year, a centimetre increase in height was worth $1,000 (£700) extra in income per year. For women earning the same amount, every single point decrease in BMI was worth an extra $1,000 (£700) per year in their pay cheque, the researchers discovered.


Markus Klein studied working mums and their kids

Daily Mail - Science & tech

Studies have long debated whether it is best for young children and their school grades to have their mothers at home supporting their development. But new research has found that a stable home life is more important than whether a mother is in or out of employment, allowing parents to develop long-term routines. And by bringing in money and raising the overall family income, working mothers may be able to provide a more stimulating and safer environment for their children. In an article for The Conversation Markus Klein, a lecturer in human development and education policy at Strathclyde University and Michael Kühhirt, a sociology lecturer from the University of Cologne, explore the various factors at work. Women go to great lengths to ensure they combine their careers with their children's developmental needs.