A lthough there has been a welcome increase in discussion about gender disparities in science, technology, engineering, and mathematics (STEM), broad participation of women from all backgrounds in academic STEM will not be achieved until institutions are transformed. A long-range view is needed to change the rules of the game, such that institutional culture and practices create workplaces where all scientists and engineers want to be. We lay out a six-point plan of what needs to change, who should participate, and how actors outside of the academy should have direct involvement in the process. We focus on gender but recognize the importance of attending to gender identity, ability, race and ethnicity, class, sexual orientation, and other important intersections. Changes that bring about inclusion for one group, we argue, can have far-reaching benefi ts for everyone. Learn the social science research. The entire campus community must be better informed about hurdles to hiring, retaining, and promoting women, especially women of color. Decades of social science research

In this study, we examine how sports commentators minimized women’s athletic participation, abilities, and achievements in the 1992 televised “Battle of the Champions” tennis competition between Martina Navratilova and Jimmy Connors. Using content analysis, we found clear differences in naming practices, adjective and adverb use, amount and type of praise and criticism, and character flaws attributed to the players. In the unique case of male versus female athletic competition it also becomes apparent that commentators “gender” the athletic event. Although women have made great strides in sport, their achievements will continue to be meaningless as long as sports broadcasters undermine, trivialize, and minimize women’s performances through biased commentaries.

The purposes of this study were to determine: (1) the prevalence of psychoactive medication and alcohol use and (2) the relationship among psychoactive medications, alcohol use, and falls in a sample of 1028 independently living women and men, aged 55 and older. Twenty-six percent of the sample reported falling, 28% were taking one or more psychoactive drugs, and 38% drank alcohol during the past year. Analyses with logistic regression indicate that predictors of falls were psychoactive drug use, age, and number of illnesses. Living alone, frequency of alcohol use, and gender were not significant predictors.

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