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While the biological sciences have achieved gender parity in the undergraduate and graduate career stages, this is not the case at the faculty level. The WEBS (Women Evolving the Biological Sciences) symposia go beyond traditional scientific training and professional development to address factors critical to women's persistence in faculty careers: community and empowerment. Through a series of panel discussions, personal reflections and skills workshops, WEBS creates a community-based professional development experience and a space for participants to grapple with central issues affecting their scientific careers. Longitudinal qualitative survey data suggest that WEBS bolsters the participants' confidence and empowerment, in addition to providing concrete skills for addressing a range of issues necessary to navigating scientific careers, leading to increased career satisfaction and career self-efficacy (i.e., the belief in one's capacity to pursue their chosen career). These results highlight the importance and need for programs and opportunities for women in STEM that go beyond training in scientific skills and traditional professional development to include those that create a sense of community and empowerment.

Trade-offs have been put forward as essential to the generation and maintenance of diversity. However, variation in trade-offs is often determined at the molecular level, outside the scope of conventional ecological inquiry. In this study, we propose that understanding the intracellular basis for trade-offs in microbial systems can aid in predicting and interpreting patterns of diversity. First, we show how laboratory experiments and mathematical models have unveiled the hidden intracellular mechanisms underlying trade-offs key to microbial diversity: (i) metabolic and regulatory trade-offs in bacteria and yeast; (ii) life-history trade-offs in bacterial viruses. Next, we examine recent studies of marine microbes that have taken steps toward reconciling the molecular and the ecological views of trade-offs, despite the challenges in doing so in natural settings. Finally, we suggest avenues for research where mathematical modelling, experiments and studies of natural microbial communities provide a unique opportunity to integrate studies of diversity across multiple scales.