- Could the model be applied to other commodities? Our preliminary investigation on chilly prices yielded some intriguing results (more details to come about this in a follow up blog post)
- What about regional price variation? Assuming we could geo-locate a sufficient amount of tweets, could we pick up sufficient signal to investigate regional variations in prices?
- How does this methodology compare with other approaches to enhancing the price collection data process through big data? (most notably, web crawling as in the MIT Billion prices project?)
The COVID-19 outbreak has generated a vast amount of research to support detection, patterns of transmission, treatment, development of vaccines and impacts of the pandemic.