09:00am to 05:00pm
at HU Berlin, Spandauer Straße 1, Room 21b

With increasing availability of digital data, the buzz word ‘big data’ is commonly used to describe information about online environments like web pages and social networks. While such data is relevant for a variety of research areas, getting and processing it - data scraping - is a common hurdle for social scientists. This course offers a hands-on and systematic introduction to data scraping using the open-source programming language Python. Participants will learn automated methods for retrieving data from Application Programming Interfaces (API) such as Twitter, as well as from web pages and PDF files. After successfully completing this course, participants will be able to independently conduct data scraping projects for social science research.

This workshop is organized by Berlin Network of Labor Market Research (BeNA).


Click here to get more information or to sign up
Wednesday, 10:30am to Friday, 12:00pm
at DIW Anna J. Schwartz Room (5.2.010)

Requirements: The final grade will be based on a take-home exam.

Summary Course Description: This mini-course aims to acquaint students with selected topics at the frontier of research in International Macroeconomics. It covers developments in a number of topics relevant for understanding the workings of open economies, including financial frictions, sovereign default, nominal frictions, exchange-rate policy, terms-of-trade shocks, real exchange-rate determination, and international aspects of business-cycle analysis.

Location: DIW Berlin, Mohrenstraße 58, 10117 Berlin (Mitte) - Anna J. Schwartz Room (5.2.010)

Lecture 1, May 2, 10:30-12
Lecture 2, May 3, 10:30-12
Lecture 3, May 3, 2:30-4
Lecture 4, May 4, 10:30-12

Click here to get more information or to sign up
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