Philip E. Tetlock

Philip E. Tetlock

University of Pennsylvania

H-index: 108

North America-United States

About Philip E. Tetlock

Philip E. Tetlock, With an exceptional h-index of 108 and a recent h-index of 65 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of judgment & decision making, political psychology, organizational behavior, intelligence analysis, forecasting.

His recent articles reflect a diverse array of research interests and contributions to the field:

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy

Assume a can opener

Long‐range subjective‐probability forecasts of slow‐motion variables in world politics: Exploring limits on expert judgment

Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Match Human Crowd Accuracy

Human and Algorithmic Predictions in Geopolitical Forecasting: Quantifying Uncertainty in Hard-to-Quantify Domains

Full accuracy scoring accelerates the discovery of skilled forecasters

Are progressives in denial about progress? Yes, but so is almost everyone else

Are markets more accurate than polls? The surprising informational value of “just asking”–CORRIGENDUM

Philip E. Tetlock Information

University

Position

Annenberg University Professor Wharton & School of Arts and Sciences

Citations(all)

63236

Citations(since 2020)

17439

Cited By

51947

hIndex(all)

108

hIndex(since 2020)

65

i10Index(all)

259

i10Index(since 2020)

187

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Philip E. Tetlock Skills & Research Interests

judgment & decision making

political psychology

organizational behavior

intelligence analysis

forecasting

Top articles of Philip E. Tetlock

Title

Journal

Author(s)

Publication Date

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy

arXiv preprint arXiv:2402.07862

Philipp Schoenegger

Peter S Park

Ezra Karger

Philip E Tetlock

2024/2/12

Assume a can opener

Behavioral and Brain Sciences

Cory J Clark

Calvin Isch

Paul Connor

Philip E Tetlock

2024/1

Long‐range subjective‐probability forecasts of slow‐motion variables in world politics: Exploring limits on expert judgment

Futures & Foresight Science

Philip E Tetlock

Christopher Karvetski

Ville A Satopää

Kevin Chen

2023/3/3

Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Match Human Crowd Accuracy

arXiv preprint arXiv:2402.19379

Philipp Schoenegger

Indre Tuminauskaite

Peter S Park

Philip E Tetlock

2024/2/29

Human and Algorithmic Predictions in Geopolitical Forecasting: Quantifying Uncertainty in Hard-to-Quantify Domains

Perspectives on Psychological Science

Barbara A Mellers

John P McCoy

Louise Lu

Philip E Tetlock

2023/8/29

Full accuracy scoring accelerates the discovery of skilled forecasters

Available at SSRN 4357367

Pavel D Atanasov

Ezra Karger

Philip Tetlock

2023/2/13

Are progressives in denial about progress? Yes, but so is almost everyone else

Clinical Psychological Science

Gregory Mitchell

Philip E Tetlock

2023/7

Are markets more accurate than polls? The surprising informational value of “just asking”–CORRIGENDUM

Judgment and Decision Making

Jason Dana

Pavel Atanasov

Philip Tetlock

Barbara Mellers

2023/1

Decomposing the effects of crowd-wisdom aggregators: The bias–information–noise (BIN) model

International Journal of Forecasting

Ville A Satopää

Marat Salikhov

Philip E Tetlock

Barbara Mellers

2022/2/2

Prosocial motives underlie scientific censorship by scientists: A perspective and research agenda

Cory J Clark

Lee Jussim

Komi Frey

Sean T Stevens

Musa Al-Gharbi

...

2023/11/28

Harm hypervigilance in public reactions to scientific evidence

Psychological Science

Cory J Clark

Maja Graso

Ilana Redstone

Philip E Tetlock

2023/7

Validating a forced-choice method for eliciting quality-of-reasoning judgments

Behavior Research Methods

Alexandru Marcoci

Margaret E Webb

Luke Rowe

Ashley Barnett

Tamar Primoratz

...

2023/10/13

AI and the transformation of social science research

Science

Igor Grossmann

Matthew Feinberg

Dawn C Parker

Nicholas A Christakis

Philip E Tetlock

...

2023/6/16

Adversarial collaboration: The next science reform

Cory J Clark

Philip E Tetlock

2023/9/14

False dichotomy alert: Improving subjective-probability estimates vs. raising awareness of systemic risk

International Journal of Forecasting

Philip E Tetlock

Yunzi Lu

Barbara A Mellers

2023/4/1

The internal validity obsession.

Behavioral & Brain Sciences

Gregory Mitchell

Philip E Tetlock

2022/1/1

Shoring up the shaky psychological foundations of a micro-economic model of ideology: Adversarial collaboration solutions

Psychological Inquiry

Thomas H Costello

Cory J Clark

Phil Tetlock

2021/6/24

What do forecasting rationales reveal about thinking patterns of top geopolitical forecasters?

International Journal of Forecasting

Christopher W Karvetski

Carolyn Meinel

Daniel T Maxwell

Yunzi Lu

Barbara A Mellers

...

2022/4/1

The road less traveled: Understanding adversaries is hard but smarter than ignoring them.

Cory J Clark

Thomas Costello

Gregory Mitchell

Philip E Tetlock

2022/3

Keep your enemies close: Adversarial collaborations will improve behavioral science.

Journal of Applied Research in Memory and Cognition

Cory J Clark

Thomas Costello

Gregory Mitchell

Philip E Tetlock

2022

See List of Professors in Philip E. Tetlock University(University of Pennsylvania)

Co-Authors

H-index: 98
James Jaccard

James Jaccard

New York University

H-index: 93
Lyle Ungar

Lyle Ungar

University of Pennsylvania

H-index: 63
Linda J. Skitka

Linda J. Skitka

University of Illinois at Chicago

H-index: 61
Don A. Moore

Don A. Moore

University of California, Berkeley

H-index: 59
Lee Jussim

Lee Jussim

Rutgers, The State University of New Jersey

H-index: 49
Alan Page Fiske

Alan Page Fiske

University of California, Los Angeles

academic-engine