
Atrium Summer School · Czech Republic
Applications are open for the ATRIUM Summer School 2027: Artificial Intelligence for the Humanities, an intensive academic programme designed for students and researchers interested in applying Artificial Intelligence to the humanities and social sciences. The summer school will take place from July 12 to July 23, 2027 at Charles University in Czechia.
The programme responds to the growing importance of Artificial Intelligence and computational methods across academic disciplines. It introduces participants to the technological foundations of Artificial Intelligence in an accessible way while giving them practical skills for working with data and applying AI methods to real world research problems.
A particular emphasis is placed on text analysis, data processing and the use of the R programming system. Participants will learn how to work with data from different humanities and social science disciplines, explore technical literature independently and prepare for experiments involving Artificial Intelligence and neural networks.
The summer school is hosted by the Institute of Formal and Applied Linguistics at Charles University and is supported through the ATRIUM project and its Transnational Access scheme. The programme is designed to help participants develop both theoretical understanding and practical computational skills that can be applied to their own academic research.
The ATRIUM Summer School 2027 focuses on the intersection of Artificial Intelligence, data analysis and the humanities.
Artificial Intelligence is increasingly being used to analyse large collections of historical, cultural, linguistic and social data. However, researchers in the humanities and social sciences may not always have access to the technical training required to use these methods effectively.
The summer school aims to address this gap by presenting AI concepts and computational techniques in a way that is accessible to researchers and students from humanities and social science backgrounds.
Participants will explore the foundations of Artificial Intelligence and learn how computational approaches can be used to investigate research questions. The programme combines theoretical learning with practical work, enabling participants to experiment with data and AI methods rather than simply studying them conceptually.
The programme is particularly relevant for participants interested in digital humanities, computational humanities, linguistics, cultural research, social science research, text analysis and data driven scholarship.
• Free participation in the summer school.
• Reimbursement of individual accommodation expenses up to 2,000 Kč per day.
• Reimbursement of economy class travel expenses up to €600.
• Daily per diem of 933 Kč for meals.
• Practical training in Artificial Intelligence methods.
• Training in the R programming system.
• Skills in systematic data processing and statistical analysis.
• Practical experience with text analysis.
• Opportunities to work with data from humanities and social science disciplines.
• Training in navigating technical literature independently.
• Exposure to Artificial Intelligence methods including neural networks.
• Opportunity to develop computational skills relevant to academic research.
The ATRIUM Summer School focuses on several connected areas of Artificial Intelligence and digital research.
• Artificial Intelligence for the humanities.
• Artificial Intelligence for the social sciences.
• Text analysis.
• Data processing.
• R programming.
• Statistical analysis.
• Systematic data analysis.
• Neural networks.
• Computational humanities.
• Digital humanities.
• Research data analysis.
• Application of AI to humanities and social science research.
The summer school is intended for students and researchers who are interested in applying Artificial Intelligence and computational methods to humanities and social science research.
Applicants should:
• Be motivated to experiment with Artificial Intelligence.
• Have an interest in Artificial Intelligence methods including neural networks.
• Have basic proficiency in the R programming system.
• Have elementary knowledge of systematic data processing.
• Have elementary knowledge of statistical analysis.
• Be interested in applying computational methods to humanities or social science research.
• Be prepared to participate actively throughout the summer school.
The programme is particularly suitable for students and researchers who want to develop practical computational skills while maintaining a focus on humanities or social science research.
Applicants should demonstrate that they have the academic or research interest necessary to benefit from the programme.
The application should communicate:
• Your academic or research background.
• Your interest in Artificial Intelligence.
• Your interest in humanities or social science research.
• Your experience with the R programming system.
• Your knowledge of data processing and statistical analysis.
• Your motivation for participating in the summer school.
• How Artificial Intelligence could support your academic or research interests.
Applicants should ensure that the information submitted accurately reflects their current technical experience and academic interests.
The programme is intended for motivated participants who can benefit from practical training in Artificial Intelligence and computational research methods.
Selection is expected to consider factors such as:
• Motivation to experiment with Artificial Intelligence.
• Interest in applying AI to humanities or social science research.
• Basic R programming proficiency.
• Knowledge of systematic data processing.
• Understanding of statistical analysis.
• Academic or research relevance of the programme to the applicant.
• Potential to apply the skills gained during the summer school in future research.
Czech Republic
Atrium Summer School
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