Summer Training School ‘Harmonising and Visualising Data in Research on Health Inequalities’

This Summer School is designed for early-career researchers engaged in the study of health inequalities through the lens of historical data. Participants will develop advanced skills in data harmonisation and visualisation techniques specifically tailored for historical sources.

Program Overview:

The program will provide participants with a comprehensive understanding of the methodological challenges and opportunities when working with historical health data. Emphasis will be placed on:

• Data Harmonisation of Historical Sources: Participants will explore advanced methodologies for standardising and integrating diverse historical datasets related to health and its social determinants. Techniques for cleaning, transforming, and linking historical data to create robust and comparable datasets will be covered.
  
• Data Visualisation for Historical Research: The Summer School will equip participants with the skills to create compelling and informative visualisations that effectively communicate complex historical health inequality data. Participants will explore various visualisation tools and techniques appropriate for presenting historical trends, geographical distributions, and social disparities in health outcomes.
  
• Practical Skills Development: Hands-on workshops will provide practical experience in data manipulation, analysis, and visualisation using real-world historical datasets and appropriate software tools.
  
• Networking and Collaboration: The Summer School fosters a collaborative environment, enabling participants to connect with fellow researchers, established experts in the field, and potential collaborators, creating a valuable network for future research endeavors.
  

Target Audience:

This Summer School is open to young researchers (PhD candidates, and early-career post-doctoral researchers) from various disciplines. 

Prerequisites:

A demonstrable interest in historical research and a basic understanding of statistical concepts are required.

Dates & Location:

25ー29 August 2025, Charles University, Faculty of Science, Prague, Czech Republic

Application Process:

Applicants are requested to submit the following:

• A motivation letter (max. 400 words) articulating their research interests, the relevance of historical health inequality research to their work, and how this Summer School will contribute to their scholarly development.
• Please use the following link to register: https://forms.gle/rq3tL6fWyWch4oyq7

Application Deadline:

14 May 2025

Registration Fee:

There is no fee. We anticipate that GREATLEAP will be able to reimburse travel costs and offer a daily allowance to participants who are selected to present but lack the financial means to attend otherwise.

Contact:

Vera Slovakova (slovakove@natur.cuni.cz)

Liili Abuladze (liili@tlu.ee)

Emre Sari (emre@norceresearch.no)