Bias-Busting Algorithms: Can AI Help VCs Diversify their Deals?

Studies show that gender bias in the venture capital (VC) industry hurts both female founders and has negative financial consequences for VC firms. Darden Professors Morela Hernandez and Roshni Raveendhran show how algorithm-aided, data-driven approaches can help investors mitigate bias and make better and more equitable funding decisions.

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Rutgers study examines smoking status, health conditions in older Chinese American men

The findings of the study by the Rutgers Institute for Health, Health Care Policy and Aging Research underscore the need for culturally targeted interventions to prevent and reduce tobacco use, manage chronic disease and screen for lung cancer.

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Sharing data for improved forest protection and monitoring

Although the mapping of aboveground biomass is now possible with satellite remote sensing, these maps still have to be calibrated and validated using on-site data gathered by researchers across the world. A newly established global database will support Earth Observation and encourage investment in relevant field-based measurements and research.

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