Hosted by Uber's Applied Behavioral Science team, the Behavioral Science track of the 2nd Uber Science Symposium brings together practitioners and researchers in the behavioral, social, and cognitive sciences to facilitate the sharing of information and best practices, foster discussion, and form bridges between research communities.
The program features plenary talks, a data blitz, and a keynote address from recognized leaders in behavioral science theory, methods, and application.
Refreshments, lunch, and a closing reception are included, along with plenty of time for socializing.
Symposium registration closes on April 12, 2019.
Follow the RSVP link for the registration form.
Abstract submission for the Behavioral Science track data blitz is now closed. Notification of abstract decisions will be sent on April 5, 2019.
The 2nd Uber Science Symposium is comprised of three parallel tracks: [1] Behavioral Science, [2] Programming Systems and Tools, and [3] Bayesian Optimization.
Each track contains a full-day program of talks from well-known practitioners and scientists in that field. Participants are free to move between the tracks or stay in a single track for the full day.
In addition to full-length talks and a special keynote address, the program includes a dynamic lineup of 5 minute data blitz talks on empirical, theoretical, methodological, and applied behavioral science topics.
Abstract submission for the data blitz is now closed. Abstract decision notifications were sent on April 5, 2019.
CHARLOTTE BLANK
Are Firms Loss Averse? Pre-payments, Bonus Claw-backs, and Sales Performance in the Auto Industry
HAL HERSHFIELD
Adding the Self into Choice Architecture
NEIL LEWIS, JR
Dynamic Identity Processes and their Implications for Motivating Attitude and Behavior Change
NAMIKA SAGARA
Leveraging Behavioral Science to Generate Deeper Insights to Inform and Activate Marketing Strategy
SUSAN ATHEY
Machine Learning and Causal Inference
DATA BLITZ
STEVE WENDEL From Behavioral Experiments to Computational Behavioral Science
AMY WINECOFF A Psychologically-Informed Methodology for Modeling and Evaluating Users’ Similarity Judgments
PORUZ KHAMBATTA Using Artificial Intelligence to Examine First Impressions
Y. ANDRE WANG Ideas about Liking Predict Situation Selection at a Distance
IAIN HARLOW Marshmallows and Smartphones: Effective Learning in the Real World
