A new study co-developed by EEOB professor, Bryan Carstens, used data analytics and machine learning to predict the conservation status of more than 150,000 plants across the globe. The results, published in Proceedings of the National Academy of Sciences, suggest that more than 15,000 of these species likely qualify as near-threatened, vulnerable, endangered or critically endangered. Find out how Machine learning helps predict endangered plant species on the Ohio State University news site.