Big Data Economics Summer School

Aim & Focus Areas

World’s data is doubling every couple of years. A new challenge for the economy and industry is, therefore, how to manage and benefit from this colossal data. Big Data has become ubiquitous in modern society and has also opened up new possibilities for economic research. It challenges state-of-the-art data acquisition, computation and analysis methods. This summer school event aims to address some of these issues through a series of talks from leading academic experts. The focus will be the broad theme of theoretical, computational and statistical underpinnings of Big Data analysis, emphasizing high-dimensional econometric models and novel machine learning techniques to manipulate and analyze the Big Data and their Implications in banking and finance or on research focusing on interesting economic questions that arise from considering the rapid changes in data availability, computational technology and software. 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.

Target Audience

  • 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)

Dates: September 5-10, 2016

Venue: The Big Data Economics Summer School will be held at Khatam University located at Hakim Azam Street in Vanak.

Registration: Registration is Mandatory and you must register by Wednesday August 31st 5:00pm to reserve your space. To maintain the interactive and intimate nature of the program, we have very limited space and there will be a selection process. The registration fee is $200 but we offer scholarships for qualified applicants. If you are interested in attending the summer school go to online registration form.

 

Big Data Economics Summer School Agenda

Monday, September 5

8:00 - 8:30am , Registration and Light refreshments

8:30 -9:00am

1
Dr.Mohammad Morovati – Stanford
Executive Chair

 WELCOME, AND WHY ARE WE HERE?

2
Ali Habibnia – LSE
Scientific Chair

 WHAT IS BIG DATA, AND WHY SHOULD YOU CARE?

9 - 12:00pm

Professor J. Doyne FarmerOxford3

 J. Doyne Farmer is Director of the Complexity Economics program at the Institute for New Economic Thinking at the Oxford Martin School, Professor in the Mathematical Institute at the University of Oxford, and an External Professor at the Santa Fe Institute.His current research is in economics, including agent-based modeling, financial instability and technological progress.He was a founder of Prediction Company, a quantitative automated trading firm that was sold to the United Bank of Switzerland in 2006.

12:00 - 1:30pm , Lunch Break - Box lunches provided

1:30 - 4:30pm

4Dr. Svetlana BryzgalovaStanford

Svetlana Bryzgalova is an Assistant Professor of Finance at the Stanford Graduate School of Business. She joined the GSB in September 2015 after receiving her PhD and MRes degrees in Economics from London School of Economics. Prior to attending LSE, Professor Bryzgalova graduated summa cum laude with a MSc in Financial Economics and BA in Economics (Mathematics) from the Higher School of Economics (Russia).

Tuesday, September 6

8:30 - 9:00am , Light refreshments

9 - 12:00pm

Professor  Esfandiar Maasoumi5Emory

Esfandiar (Essie) Maasoumi is the Arts and Sciences Distinguished Professor of Economics at Emory University, Atlanta, GA. He is the author and coauthor of more than 100 articles, reviews, and books, including special issues of the Journal of Econometrics and Econometric Reviews . He has written theoretical and empirical papers in both economics and econometrics and consults on law and economics issues. Maasoumi received BSc (1972), MSc (1973), and PhD (1977) degrees from the London School of Economics, United Kingdom.

12:00 - 1:30pm , Lunch Break - Box lunches provided

1:30 - 4:30pm

6Dr. Victor ChernozhukovMIT

Victor Chernozhukov works in econometrics and mathematical statistics, with much of recent work focusing on the quantification of uncertainty in very high dimensional models. He is a fellow of The Econometric Society and a recipient of The Alfred P. Sloan Research Fellowship and The Arnold Zellner Award. He was elected to the American Academy of Arts and Sciences in April 2016.

Wednesday, September 7

8:30 - 9:00am , Light refreshments

9 - 12:00pm

4_233798928464609613Shahram NikbakhtianBank of America

 Shahram Nikbakhtian, joined the Bank of America Merrill Lynch quant research team in 2015.He has been working extensively on various aspect of algorithmic trading, derivative modelling, pricing , hedging , risk management, market making. One of particular themes of his recent work is High frequency Market making of foreign currency market.

12:00 - 1:30pm , Lunch Break - Box lunches provided

1:30 - 4:30pm

8Professor Kenneth Benoit LSE

Kenneth Benoit is currently Professor of Quantitative Social Research Methods, and Head of the Department of Methodology at the London School of Economics and Political Science. He received his Ph.D. (1998) from Harvard University, Department of Government. His current research focuses on automated, quantitative methods for processing large amounts of textual data, mainly political texts and social media.

Thursday, September 8

8:30 - 9:00am , Light refreshments

9 - 12:00pm

9Dr. Aija Leiponen Imperial College London

Aija Leiponen received her Ph.D. in Economics from the Helsinki School of Economics. Prior to joining Cornell University, she carried out research at Haas School of Business, University of California at Berkeley, the International Institute of Applied Systems Analysis (IIASA) in Austria, and the Research Institute of the Finnish Economy (ETLA) in Finland. Between 2009-2011 she was on the faculty of Imperial College Business School (London UK) and continues to hold a part-time affiliation there.

12:00 - 1:30pm , Lunch Break - Box lunches provided

Saturday, September 10

8:30 - 9:00am , Light refreshments

11Professor Ali EmrouznejadAston

Ali Emrouznejad is a Professor and Chair in Business Analytics and has been working in various areas of Operations Research and Statistic generally and Data Envelopment Analysis specifically since 1993. He holds an MSc in applied mathematics and received his PhD in operational research and systems from Warwick Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining and big data. He has published over 100 articles in top ranked journals.