This award recognizes the exceptional contributions and achievements of an early career scholar working within interest areas of Division 34: environmental, population, and/or conservation psychology. The ultimate aim of the award is to recognize individuals who are making significant contributions to the field early in their careers. As such, nominees should be investigators who have made substantial contributions to environmental, population, and/or conservation issues research within 10 years of receiving their doctorate and who have demonstrated the potential to continue such contributions in the future. The award includes a certificate, an invitation to give an address at the upcoming APA convention, and a complimentary 1-year membership in Division 34 for the following calendar year.

Nominees must be current members of Division 34, and their innovative and substantial research and/or practice should clearly reflect the division’s aims and focus on environmental, population, and/or conservation psychology. Nominees do not have to currently hold an academic position; individuals working in nonprofit organizations, governmental agencies, or other practice-oriented positions may be considered for the award.

Nominations should consist of a detailed statement indicating why the nominee is a worthy candidate for the Early Career Award, as well as one or more supporting letters from others who endorse the nomination. The candidate’s curriculum vitae should also be submitted at the time of nomination, if available. Self-nominations are permitted and encouraged.

Email your nominations along with any questions about the award to the current chair of the Awards Committee at awards@sepcp.org

The review panel will consist of current and past APA Division 34 Executive Committee members.

2026: Sara Constantino

2025: Gregg Sparkman

2024: Isabel Richter

2023: Matthew Goldberg

2022: Cameron Brick

2021: Beth Karlin

2020: Adam Pearson

2019: Reuven Sussman

2018: Amanda Carrico

2017: Ezra Markowitz

2016: John Fraser