AIM & FOCUS AREAS
Big Data Economics summer school aims to address the theoretical, computational and statistical underpinnings of big data analysis through a series of talks from leading academic experts. The focus will be the econometric models and novel machine learning techniques to manipulate and analyze the big data and their Implications in research focusing on interesting economic questions that arise from considering the rapid changes in data availability and computational technology. With the rise of big data and the very real opportunities that machine learning now brings, there is no better time to find out how novel techniques can be used for economic research.
- Faculty members and graduate (Masters and Ph.D.) students
- Banking and financial industry experts and policy makers
- Researchers (from Econ, Finance, Math, Stat, CS and ML backgrounds)
Link to our 1st Summer School in 2016 (click here)
Mohammad Morovati (Executive Chair)
Ali Habibnia (Scientific Chair)
Fereshte Allahverdi (Organization Chair)
Dates: 5th- 8th August 2018
Venue: The 2nd Big Data Economics Summer School will be held at Khatam University
Registration Deadline: 2nd August
General: 1,000,000 Toman
Students: 500,000 Toman
(Payable at the first day of Summer School)
Scholarship for strong resumes is Available.