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  1. Directory
  2. Faculty
  3. Moran Cerf

Moran Cerf

Academic Director in Executive Education
Executive Education
Adjunct Professor of Business
Marketing Division
Moran Cerf
Areas of Expertise
Artificial Intelligence (AI), Climate, Consumer Behavior, Decision Making & Negotiations, Digital Future Initiative, Entrepreneurship & Innovation, Leadership & Organizational Behavior, Marketing, Media
Contact
Office: 1175 Kravis
E-mail: mc5424@gsb.columbia.edu
Links
Personal Website
Curriculum Vitae
LinkedIn

With nearly 90 academic publications, over 50 students, half a dozen patents, and nearly 10 million online followers, Moran Cerf is one of the leaders in the research and applications of neuroscience in business.

Cerf holds a PhD in neuroscience (Caltech), an MA in Philosophy, and a BSc in Physics (Tel-Aviv University. He has taught leadership and marketing at NYU and the Kellogg School of Management, where he was a professor of neuroscience and business for nearly a decade.

In his work, Prof. Cerf helps individuals and businesses harness current knowledge on the brain to improve their thinking, leadership, personal development, decision-making, and customer engagement.

Broadly, his academic research uses methods from neuroscience to understand the underlying mechanisms of our psychology, behavior changes, emotion, decisions and dreams. Specifically, his research focuses on identifying what makes content engaging and how to create narratives that capture our attention. 

In his acclaimed research Prof. Cerf studies patients undergoing brain-surgery by recording the activity of individual nerve cells using electrodes implanted in the patient's brain. Using this method, Prof. Cerf addresses questions such as: "How are conscious percepts formed in our brain?", "How can we control our emotions?" and “How can we make content that is engaging for the brain?" 

Cerf published papers in academic journals such as Nature and the Journal of Neuroscience, as well as popular science journals such as Scientific American Mind, Wired, New Scientist and more. He has published several books, including the recent: "Brain Imaging: An Illustrated Guide to the Future of Neuroscience”, and his research has been portrayed in numerous media and cultural outlets such as CNN, BBC, Bloomberg, NPR, Time, MSNBC, Netflix Explained, PBS Nova, and dozens of others. He has been featured in venues such as the Venice Art Biennial and China's Art, Science and Technology association, and has contributed to magazines such as Forbes, The Atlantic, Inc., and others. He has made much of his research accessible to the public via his public talks at PopTech, TED, TEDx ("most TEDx talks worldwide”, with 13 TED/TEDx talks), Google Zeitgeist, DLD, etc., gathering millions of views and a large following.

Cerf is the beneficiary of several awards and grants, including the Instructional Improvement Grant and the prestigious President scholarship for excellence. He was recently named one of the "40 leading professors below 40".

Prior to his academic career, Prof. Cerf spent nearly a decade in industry, holding positions in cyber-security (as a hacker), pharmaceutical, telecom, fashion, software development, and innovations research. Currently, he is on the board of a number of neuro-tech companies (Nervanix, X-Trodes, BestFit) and the Co-founder of ThinkAlike. He is also the founder of the non-profit B-Cube which uses neuroscience to help society. He consulted to companies such as Ferrari, Viacom, TransUnion, Nielsen, Founders Pledge, and the U.S. Government.

In line with his research on engagement, Prof. Cerf is a 4 times U.S. National story-telling champion (at the 'Moth' story-telling competition) and a regular consultant to Hollywood films and TV shows (CBS' “Bull”, “Limitless”; USA Network's “Falling Water”, and more). Cerf is also the Alfred P. Sloan professor at the American Film Institute (AFI), where he teaches an annual screenwriting class.

Most importantly, he is left handed.

 

Education
BSc, Physics, Tel-Aviv University, 2000; MA, Philosophy, Tel-Aviv University, 2001; Phd, Neuroscience, California Institute of Technology, 2009
Joined CBS
2023

Featured Research

Participating in a climate prediction market increases concern about global warming

Authors
Moran Cerf, Sandra Matz, and Malcolm A. MacIver
Date
June 8, 2023
Format
Journal Article
Journal
Nature Climate Change

Modifying attitudes and behaviours related to climate change is difficult. Attempts to offer information, appeal to values and norms or enact policies have shown limited success. Here we examine whether participation in a climate prediction market can shift attitudes by having the market act as a non-partisan adjudicator and by prompting participants to put their ‘money where their mouth is’.

Read More about Participating in a climate prediction market increases concern about global warming

Sensory substitution can improve decision-making

Authors
Heinrich Peters, Sandra Matz, and Moran Cerf
Date
April 23, 2023
Format
Journal Article
Read More about Sensory substitution can improve decision-making

Using Blockchain in Decision-Making that Benefits the Public Good

Authors
Moran Cerf, Sandra Matz, and Aviram Berg
Date
March 31, 2020
Format
Journal Article
Read More about Using Blockchain in Decision-Making that Benefits the Public Good

The psychology of corporate rights

Authors
Avital Mentovich, Aziz Huh, and Moran Cerf
Date
October 26, 2015
Format
Journal Article
Read More about The psychology of corporate rights

On-line, voluntary control of human temporal lobe neurons

Authors
Moran Cerf, Nikhil Thiruvengadam, Florian Mormann, Alexander Kraskov, Rodrigo Quian Quiroga, Christof Koch, and Itzhak Fried
Date
October 27, 2010
Format
Journal Article
Read More about On-line, voluntary control of human temporal lobe neurons

Personality similarity predicts synchronous neural responses in fMRI and EEG data

Authors
Sandra Matz, Ryan Hyon, Elisa C. Baek, Carolyn Parkinson, and Moran Cerf
Date
August 22, 0022
Format
Journal Article
Read More about Personality similarity predicts synchronous neural responses in fMRI and EEG data

All Activities

  • Research
  • Teaching
  • Achievements
  • Press
  • Authored Works
  • CaseWorks
  • Journal articles
  • Working papers
  • Articles
  • Books
  • Chapters
Journal Article
Cerf, Moran, Sandra Matz, and Malcolm A. MacIver. “Participating in a climate prediction market increases concern about global warming.”
Nature Climate Change
vol. 13, (June 08, 2023): 523-531. doi:
https://doi.org/10.1038/s41558-023-01677-6
Explore Further about Participating in a climate prediction market increases concern about global warming
Journal Article
Peters, Heinrich , Sandra Matz, and Moran Cerf. “Sensory substitution can improve decision-making.” (April 23, 2023).
Explore Further about Sensory substitution can improve decision-making
Journal Article
Freiberg, Brandon and Moran Cerf. “Single neuron evidence of inattentional blindness in humans.” (December 06, 2021).
Explore Further about Single neuron evidence of inattentional blindness in humans
Journal Article
Massaro, Sebastian, Will Drover, Keith Hmieleski, and Moran Cerf. “Using functional neuroimaging to advance entrepreneurial cognitive research.” (November 24, 2020).
Explore Further about Using functional neuroimaging to advance entrepreneurial cognitive research
Journal Article
Cerf, Moran, Sandra Matz, and Aviram Berg. “Using Blockchain in Decision-Making that Benefits the Public Good.” (March 31, 2020).
Explore Further about Using Blockchain in Decision-Making that Benefits the Public Good
Journal Article
Levy, John , Devin Markell, and Moran Cerf. “Polar Similars: using massive mobile dating data to predict synchronization and alignment in dating preferences.” (September 06, 2019).
Explore Further about Polar Similars: using massive mobile dating data to predict synchronization and alignment in dating preferences
Journal Article
Shane, Scott, Will Drover, David Clingingsmith, and Moran Cerf. “Founder passion, neural engagement and informal investor interest in startup pitches: an fMRI study.” (August 27, 2019).
Explore Further about Founder passion, neural engagement and informal investor interest in startup pitches: an fMRI study
Journal Article
Milosavljevic, Milica and Moran Cerf. “What matters is attention not intention: Insights from computational neuroscience of vision.” (January 01, 2018).
Explore Further about What matters is attention not intention: Insights from computational neuroscience of vision
Journal Article
Barnett, Samuel B. and Moran Cerf. “A Ticket for Your Thoughts: Method for Predicting Content Recall and Sales Using Neural Similarity of Moviegoers.” (January 23, 2017).
Explore Further about A Ticket for Your Thoughts: Method for Predicting Content Recall and Sales Using Neural Similarity of Moviegoers
Journal Article
Mentovich, Avital, Aziz Huh, and Moran Cerf. “The psychology of corporate rights.” (October 26, 2015).
Explore Further about The psychology of corporate rights
Journal Article
Birmingham, Elina, Moran Cerf, and Ralph Adolphs. “Comparing social attention in autism and amygdala lesions: effects of stimulus and task condition.” (September 26, 2011).
Explore Further about Comparing social attention in autism and amygdala lesions: effects of stimulus and task condition
Journal Article
Cerf, Moran, Nikhil Thiruvengadam, Florian Mormann, Alexander Kraskov, Rodrigo Quian Quiroga, Christof Koch, and Itzhak Fried. “On-line, voluntary control of human temporal lobe neurons.” (October 27, 2010).
Explore Further about On-line, voluntary control of human temporal lobe neurons
Journal Article
Cerf, Moran, Jonathan Harel, Alex Huth, Wolfgang Einhauser, and Christof Koch. “Decoding what people see from where they look: Predicting visual stimuli from scanpaths.” (May 12, 2008).
Explore Further about Decoding what people see from where they look: Predicting visual stimuli from scanpaths
Download PDF on Decoding what people see from where they look: Predicting visual stimuli from scanpaths
Journal Article
Cerf, Moran, Wolfgang Einhauser, and Christof Koch. “Predicting human gaze using low-level saliency combined with face detection.” (December 03, 2007).
Explore Further about Predicting human gaze using low-level saliency combined with face detection
Journal Article
Matz, Sandra, Ryan Hyon, Elisa C. Baek, Carolyn Parkinson, and Moran Cerf. “Personality similarity predicts synchronous neural responses in fMRI and EEG data.” (August 22, 0022).
Explore Further about Personality similarity predicts synchronous neural responses in fMRI and EEG data
Book
Cerf, Moran. Brain Imaging: An Illustrated Guide to the Future of Neuroscience. 2022.
Explore Further about Brain Imaging: An Illustrated Guide to the Future of Neuroscience
Book
Moutihno, Luiz and Moran Cerf. Biometrics and Neuroscience Research in Business and Management. 2022.
Explore Further about Biometrics and Neuroscience Research in Business and Management
Book
Cerf, Moran and Manuel Garcia-Garcia. Consumer Neuroscience. 2017.
Explore Further about Consumer Neuroscience
Book
Cerf, Moran and Robert Wolcott. Foresight. 2017.
Explore Further about Foresight
Book
Fried, Itzhak, Moran Cerf, and Gabriel Kreiman. Single Neuron Studies Of The Human Brain. 2014.
Explore Further about Single Neuron Studies Of The Human Brain
Book
Cerf, Moran. Competition and Attention in the Human Brain. 2012.
Explore Further about Competition and Attention in the Human Brain
  • Courses
  • Case Studies
Course
B6601: Marketing
View Course on Marketing
Course
B8609: Generative AI for Business
View Course on Generative AI for Business
  • Awards
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  • In the Media
  • Articles
In the Media

How Your Brain Makes Decisions: Dr. Moran Cerf Reveals the Science behind Our Choices

"Business Talk" Podcast
In the Media

Celebrity-Packed Super Bowl Ads Won the Game within the Game, Surveys Show

The Wall Street Journal
In the Media

Wagering on Wild Weather Can Change Minds about Climate Change

The Messenger
Article

Participating in a Climate Prediction Market Increases Concern About Global Warming

Read More about Participating in a Climate Prediction Market Increases Concern About Global Warming
  • Articles
Article

Participating in a Climate Prediction Market Increases Concern About Global Warming

Read More about Participating in a Climate Prediction Market Increases Concern About Global Warming
  • CaseWorks
Case ID
260404E

Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 5)

What should business leaders consider when they think about AI deployment in investment and strategy development?

View Case on Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 5)
Case ID
260404D

Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 4)

What should business leaders consider when they think about AI deployment in investment and strategy development?

View Case on Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 4)
Case ID
260404C

Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 3)

What should business leaders consider when they think about AI deployment in investment and strategy development?

View Case on Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 3)
Case ID
260404B

Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 2)

What should business leaders consider when they think about AI deployment in investment and strategy development?

View Case on Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 2)
Case ID
260404A

Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 1)

What should business leaders consider when they think about AI deployment in investment and strategy development?

View Case on Leading with Artificial Intelligence: Transformation, Use-Cases, Investment, Governance, Energy, and Decision Making (Part 1)

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