Lauren Eskreis-Winkler

Lauren Eskreis-Winkler

Contact Information

Research Interests: motivation, intervention, learning, failure, grit, resilience

Links: CV, Personal Website

Overview

Lauren Eskreis-Winkler earned her PhD in Psychology at the University of Pennsylvania.

The primary focus of her work is to understand how to motivate people who struggle with goal achievement. With this objective, she has developed and disseminated motivational interventions in the U.S., West Africa, Australia, Macedonia, and the UK.  These interventions aim to motivate individuals across the spectrum – struggling athletes, students in grade school and college, individuals in the workforce, smokers trying to quit smoking, and unemployed individuals on the job market.  Lauren has collaborated with businesses, educational organizations, Minor League Baseball teams, the Macedonian Ministry of Education, and the World Bank.

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Teaching

Past Courses

  • PSYC001 - INTRO TO EXP PSYCH

    This course provides an introduction to the basic topics of psychology including our three major areas of distribution: the biological basis of behavior, the cognitive basis of behavior, and individual and group bases of behavior. Topics include, but are not limited to, neuropsychology, learning, cognition, development, disorder, personality, and social psychology.

Knowledge@Wharton

GameStop Fallout: Why Regulation Could Hurt Index Investing

Regulators looking to prevent stock price manipulation must not harm the price discovery process that indexers depend on, says Wharton’s David Musto in an interview with Wharton Business Daily on SiriusXM.

Knowledge @ Wharton - 3/2/2021
What’s Mine Is Ours: How Consumption Is Changing

Firms benefit when consumers feel they “own” a product. But in the sharing economy, goods and services are becoming more experiential and impermanent. New research co-authored by Wharton’s Deborah Small explains this shift and offers marketing strategies to help preserve that feeling of “mine.”

Knowledge @ Wharton - 3/2/2021
How Artificial Intelligence Can Slow the Spread of COVID-19

A new machine-learning approach to COVID-19 testing that was developed by Wharton’s Hamsa Bastani and other experts has produced encouraging results in Greece by identifying more asymptomatic, infected travelers than what conventional random testing would have achieved.

Knowledge @ Wharton - 3/2/2021