October 16-18th, 2017.
Organizing and Scientific Committee:
Call for applications
New technologies and methodologies from various fields may be useful for economists doing research on education economics, but it is hard to always keep up with the newest developments. Computers can detect patterns in data which would otherwise be unseen to researchers; software is now available that can make graphs and figures that will catch your attention and transfer the message; and thanks to information technology we can instantly see the results of experiments. The use of these IT tools can help improve both the analyses themselves, and enable better communication of empirical results to both academics and the wider public.
This Summer School introduces Ph.D. students and researchers to some of the most interesting new developments that may be useful to scholars in education economics. It aims to give practical experience using cutting-edge techniques and software from three key areas.
Each session will discuss the techniques through the use of examples, and then give participants hands-on experience in trying them out using sample datasets and laboratory activities.
The following three techniques will be covered during the Summer School:
(Introduction to behavioural economics; do’s and don’t’s in the laboratory; ethical issues; introduction to Z-tree; conducting an experiment with Z-tree on site; looking at the data we created)
(How can machines help? A statistical intro: comparing normal regressions with regression Trees; Random forests and boosting; Using R to run regression Trees on PISA data)
(A historical intro to data visualization; practical tips and advices on how to visualize outputs; intro to tableau; creating own charts and figures with tableau)
The sessions will typically be led by experts outside the education-economics discipline. Laboratory experiments are taught by behavioral economists, machine learning by a statistician and data visualization by a data visualization expert from investigative journalism. All the utilized software is free for academic purposes.
Selected students will have the chance to present their own research in dedicated sessions and receive feedback on their work. (Note: as EdEN is a network of education economists, we expect work in education economics, but these do not have to rely on any of the introduced topics above.)
International students from all countries are welcome to apply.
Application can either be done by sending brief motivation letter to the e-mail below; or for applicants wishing to present their work full (draft) papers must be submitted by email to
by September 11, 2017. Notification of acceptance will be sent out by September 15, 2017.
The event is hosted by the Center for Economic and Regional Studies of the Hungarian Academy of Sciences, within the new Research Building of Human Sciences (MTA Humán Tudományok Kutatóháza) located at Budapest, Tóth Kálmán u. 4, 1097. Hungary. (see map).
There will be no participation fee for those accepted. However, travel, accommodation costs and cost of Summer School dinner will only be covered for members of the EdEN network.
The final program will be available in September 2017. at:
The Workshop will start indicatively around 9 a.m. on October 16th, and will end around 13 p.m. on October 18th.
Dr. Dániel Horn (email@example.com)
Prof. Dr. Kristof De Witte (Kristof.firstname.lastname@example.org)
Prof. dr. Tommaso Agasisti (email@example.com)
The Summer School is organized within the activities of the H2020 project EdEN (Education Economics Network), and has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 691676 (EdEN)
The School will be followed by the 5th Efficiency in Education Workshop to be held on October 19-20 at the same venue. Information on the workshop can be found at: http://www.edenproject.eu/conferences-meetings/international-workshop-on-efficiency-in-education/