@article{5026, keywords = {Education, new approach methodologies, nonanimal methods, Research training, Translational science}, author = {Janine McCarthy and Jarrod Bailey and Ron Baron and Catharine E. Krebs and Mikalah Singer and Elizabeth Baker}, title = {Creating training opportunities in new approach methodologies for early-career researchers}, abstract = {As research and testing methods rapidly advance, there is a pressing need to train the next generation of scientists in new approach methodologies (NAMs)—human-specific, nonanimal methods—to reduce animal use, improve clinical translation, and solve public health challenges. Aiming to address this need, the Physicians Committee for Responsible Medicine hosted its third biennial Summer Immersion on Innovative Approaches in Sciences in May 2024. The Summer Immersion is a concentrated, immersive training opportunity designed to educate early-career researchers on the development and use of NAMs for a variety of applications across the translational science spectrum and inspire them to adopt these approaches in their research. Early-career researchers from across the globe joined cross-sector, multidisciplinary scientists for a three-day training in Washington, DC, composed of lectures, skills development workshops, poster presentations, technology demonstrations, case studies, and networking opportunities. The event aimed to foster innovation by encouraging individuals to think beyond traditional boundaries and apply cutting-edge technologies to tackle complex medical research challenges. Here, we explore the utility of NAMs in driving highly innovative and translatable research as well as the importance of promoting their development and use through training opportunities. We present proceedings of the 2024 Summer Immersion and provide recommendations for maintaining momentum for innovative science, such as investing in concentrated training events and institutional training programs and promoting research integrity.}, year = {2025}, journal = {NAM Journal}, volume = {1}, pages = {100006}, month = {2025-01-01}, issn = {3050-6204}, url = {https://www.sciencedirect.com/science/article/pii/S3050620425000016}, doi = {10.1016/j.namjnl.2025.100006}, }