Theoretical:
- Consumer behavior (Judgment and Decision Making)
- Consumer/predictive analytics
- Demand forecasting and market potential estimation
- Market dynamics
Methodological:
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- Artificial Intelligence/Machine Learning/Deep Learning
- Behavior/demand prediction based on:
- Secondary data (e.g., Census, IBGE/POF, Google Places, industry data, etc.)
- Natural Language Processing (NLP) of social media data (e.g., Twitter)
- Satellite imagery and demographics estimation
- Forecasting and Spatial econometrics
- Bayesian inference
- Experimental design
- Data Science and open-source tools

