JEDI Corner
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It is commonly believed that lesbian, gay, bisexual, transgender, queer, intersex, and asexual populations are “hard to reach” for research participation. Not so, say the three expert presenters for the ASA LGBTQ+ Advocacy Committee’s inaugural webinar, “Sociocultural and Analytical Considerations for Engaging LGBTQIA+ Communities.”
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The Collaborative Undergraduate Biostatistics Experience (CUBE) is gearing up for its second year at Virginia Tech this summer. CUBE exposes undergraduate STEM students, specifically those who are part of an underrepresented/minority population, to the data science and collaborative biostatistics fields.
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Traditional approaches to secondary data analysis do not involve the people most affected by the analysis, which can create distance between statisticians or data scientists and the communities behind it. By connecting secondary data analysis with community-based research, we can decrease this distance.
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Data visualization and exploratory data analysis have been recognized in recent decades as important parts of statistics, but visualization excludes people with visual impairments, an increasingly important issue as the population gets older. How can statisticians and analysts provide some of the benefits of the dataviz revolution?
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Joseph Gastwirth suggests changes in the way courts have interpreted the equal employment laws since the mid-1980s likely contributed to sustained socioeconomic inequality.
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Ada Lovelace Day falls on October 12 every year. Finding Ada “aims to increase the profile of women in STEM and, in doing so, create new role models who will encourage more girls into STEM careers and support women already working in STEM.”