معرفی
Angela Lee Duckworth is the Rosa Lee and Egbert Chang Professor of Psychology at the University of Pennsylvania. She serves as Co-Director of the Penn-Wharton Behavior Change for Good Initiative and is the Founding Faculty Co-Director of Wharton People Analytics. Duckworth is a leading researcher in the field of psychology, particularly known for her work on grit, self-control, and character development.
Her research interests center around grit (defined as passion and perseverance for long-term goals), self-control, and the psychological determinants of achievement. Duckworth has developed the Grit Scale, a psychological measurement tool that assesses individuals' perseverance and passion for long-term goals. Her work bridges the gap between academic psychology and practical applications in education, business, and public policy.
Analysis of Duckworth's publications reveals consistent thematic focus on goal pursuit, self-regulation, and achievement over extended timeframes. Her research spans educational settings (studying students and teachers), professional contexts (military, business), and personal development. The publications demonstrate rigorous methodology, often employing longitudinal designs and multiple measurement approaches to validate her constructs.
- 2013 MacArthur Fellow
- Rosa Lee and Egbert Chang Professorship at University of Pennsylvania
- Author of #1 New York Times bestseller "Grit: The Power of Passion and Perseverance"
- Co-founder of Character Lab, a nonprofit advancing scientific insights to help children thrive
- Co-host of the "No Stupid Questions" podcast
Duckworth advises the World Bank, NBA and NFL teams, and Fortune 500 CEOs. She co-founded Character Lab, which develops evidence-based tools for educators, and leads initiatives like "Phones in Focus" that translate behavioral science into practical educational applications. Her laboratory work focuses on developing interventions that foster grit and self-control in educational settings, with an emphasis on practical, scalable approaches that can be implemented in real-world contexts.
