Assistant Professor Andrea Lang selected to participate in the American Meteorological Society’s inaugural Early Career Leadership Academy

Assistant Professor Andrea Lang is one of just 34 early career professionals who were chosen to participate in the Early Career Leadership Academy (ECLA) established for the first time this year by the American Meteorological Society (AMS).

The ECLA seeks to build and sustain a diverse network of early careers leaders across the weather, water, and climate (WWC) science community. Each year, this program will bring together a select cohort of early career professionals to help them enhance their leadership skills and share valuable experience with one another. The program is specifically geared toward women and underrepresented minorities working in atmospheric, oceanic, and hydrologic sciences, including education and policy. ECLA participants will explore critical issues in the context of WWC. The program will feature speakers who will share their expertise on topics such as adaptive learning and leadership, strategic doing, building trust, and fostering diversity, equity, and inclusion.

“Science is the one of the most international enterprise where people from different disciplines, nationalities, and cultures work together toward a shared goal,” says Donna Charlevoix, chair of ECLA Advisory Board. “It is exciting to launch a professional development opportunity that will help early career scientists capture opportunities related to the plurality of the scientific enterprise, be more effective in their leadership roles, and empower each other.”

The 2018 ECLA class was selected after a thoughtful and rigorous evaluation process. Over the period of three months, 34 early career professionals will participate in two remote sessions on February 23 and March 30, 2018, as well as an in-person meeting on April 26–27, 2018 in Washington DC. The ECLA participants will also be engaged in facilitated conference calls for small group peer mentoring throughout the year. The ECLA is made possible by the generous support of IBM. More information can be found on the AMS website