LONGPOP | Course ‘Intermediate Data Structure and Converting Data into IDS’, 26- 28 March 2018, Amsterdam
Webpage of the EU Horizon 2020 Marie Sklodowska-Curie MSCA-ITN Project LONGPOP (Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers)
Horizon 2020, H2020, Longitudinal analysis, Demography, Population Studies, Epidemiology, Statistics, Mathematics, Economics, Geography, History, GIS, Big Data, Data Analysis, Quantitative Methods, Public Health.
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13 Mar Course ‘Intermediate Data Structure and Converting Data into IDS’, 26- 28 March 2018, Amsterdam

This course is organised by Prof. Kees Mandemakers from the International Institute of Social History of the Koninklijke Nederlandse Akademie van Wetenschappen (KNAW).

This three-day course is meant for Early Stage Researchers (ESRs) or students in general who want to learn how to exploit their historical sources in a structured, systematic and sustainable way. Primary goal is teaching them best practices of handling historical longitudinal data by way of the Intermediate Data Structure (IDS). Secondary goal is to guide students in working with their own dataset: Converting them into the IDS structure and developing their own extraction software. Recent experiences in the use of extraction software will also be presented and discussed.

For more information please visit here.