Philip E. Tetlock
Autore di Superforecasting: The Art and Science of Prediction
Sull'Autore
Philip E. Tetlock is the Annenberg University Professor at the University of Pennsylvania. His books include Superforecasting: The Art and Science of Prediction and Counterfactual Thought Experiments in World Politics (Princeton).
Opere di Philip E. Tetlock
Opere correlate
Taking Sides: Clashing Views in Social Psychology (2006) — Collaboratore, alcune edizioni — 19 copie
Psychological Science Under Scrutiny: Recent Challenges and Proposed Remedies (2017) — Collaboratore — 7 copie
Etichette
Informazioni generali
- Nome canonico
- Tetlock, Philip E.
- Nome legale
- Tetlock, Philip Eyrikson
- Data di nascita
- 1954-03-02
- Sesso
- male
- Nazionalità
- USA
Canada (birth) - Luogo di nascita
- Toronto, Ontario, Canada
- Istruzione
- University of British Columbia (BA | 1975 | MA | 1976)
Yale University (PhD | Psychology | 1979) - Attività lavorative
- psychologist
professor - Relazioni
- Sniderman, Paul M. (co-editor)
Brody, Richard A. (co-editor) - Organizzazioni
- University of California, Berkeley
Ohio State University
Haas School of Business - Premi e riconoscimenti
- Grawemeyer Award (2008)
Woodrow Wilson Book Award (1992 | 2005)
Robert E. Lane Award (2005)
National Academy of Sciences Award for Behavioral Research Relevant to the Prevention of War (1999)
Nevitt Sanford Award (1997)
American Association for the Advancement of Science Prize for Behavioral Science Research (1988) (mostra tutto 10)
Erik H. Erikson Award (1987)
Distinguished Scientific Award for Early Career Contribution to Social Psychology (1986)
Governor-General's Gold Medal (1975)
British Columbia Psychological Association Gold Medal (1975)
Utenti
Recensioni
Liste
Premi e riconoscimenti
Potrebbero anche piacerti
Autori correlati
Statistiche
- Opere
- 7
- Opere correlate
- 2
- Utenti
- 1,393
- Popolarità
- #18,451
- Voto
- 4.0
- Recensioni
- 42
- ISBN
- 42
- Lingue
- 7
A much more important ans very interesting final few chapters on the broader space of trying to predict events in the future, probability distributions, and complexity. The question about the limits of forecasting is commendable and perhaps one of the most important points of the book. We can talk about knowledge and prediction within a certain timeframe but beyond that it is a completely different situation and the game changes and its impossible to really
look ahead that far.… (altro)