Project 3: The Gamification of Risk, Intertemporal and Social (Altruistic) Preferences: the Design and Deployment of Task-Based Experiments via Web and App interfaces for Surveys in Advanced and Developing Countries
Paul Gertler, Professor
Business, Haas School
Applications for Spring 2024 are closed for this project.
The Lab for Inclusive FinTech (LIFT) is a new and exciting initiative housed at the Institute for Business and Social Impact at Haas.
Personalization of financial technology (Fintech) promises to transform the financial well-being of customers and financial firms alike and generate new opportunities in the fields of decision science and behavioral economics.
LIFT seeks a creative, ambitious, and mission-driven student with strong app and web design skills, as well as a good understanding of economics, to design and implement experimental games to better understand how individuals make choices. The data driving a new age of personalization comes from novel gamified diagnostics that ask individual to show us (not tell us) their preferences.
LIFT seeks a creative, ambitious, and mission-driven student with strong skills and a passion for economic development, FinTech, and behavioral economics.
Role: The URAP working on this project will receive training in applied econometric analysis, as well as in behavioral and decision theory.
However, we expect the URAP to take the lead in reviewing relevant literatures as well as in the design and implementation of web and app development and/or integration of task-based measures into common data collection platforms (e.g., surveyCTO, Open Data Kit (ODK), etc).
The URAP will also be trained in applied econometrics, including some of the following tasks:
- Cleaning, merging, and analyzing complex data
- Interpreting results
- Producing compelling graphs to visualize results
Qualifications: Experience with R/Stata is required. Experience managing “big data” preferred. Familiarity with decision theory, behavioral economics, and experimental methods to measure preferences is preferred. The URAP is expected to posses advanced knowledge of app and web development programming languages (front end and back end).
Additional Skills required:
- Strong ability to anticipate, plan, prioritize, and meet deadlines
- Capacity to handle multiple projects at once, effectively manage time, and interface confidently with co-workers
- Self-motivated, detail-oriented, hard worker who enjoys working in teams
- Demonstrate professionalism and discretion, exhibit good judgment when sharing news and information publicly
- Flexible and able to adapt to change
- Eye for design and style, both in web and in print
Day-to-day supervisor for this project: Laura Chioda (Director of Research), Staff Researcher
Hours: 9-11 hrs
Related website: https://haas.berkeley.edu/lift/
Related website: https://eml.berkeley.edu//~kariv/