The CMP 25 programme brings together the Center for Humanities Computing at Aarhus University and IT-Vest in a collaborative effort to strengthen computational competences and methodological innovation within the humanities. Through an intensive year-long masterclass and mentorship programme, the initiative supports researchers who wish to develop and integrate computational and data science approaches in their work.

As digital methods and large-scale data analysis increasingly shape the humanities, many researchers seek opportunities to expand their technical skills and apply quantitative techniques in meaningful, research-driven ways. CMP 25 addresses this need by providing a structured environment for learning, experimentation, and collaboration. Running from the spring of 2025 to the spring of 2026, the programme combines expert-led teaching, peer exchange, and one-to-one mentorship to build sustainable capacities in computational humanities across Aarhus University. The programme is organised around a series of workshops and lectures that gradually introduce participants to the theoretical and practical foundations of computational research

Role of Center for Humanities Computing

The Center for Humanities Computing (CHC) leads the design and delivery of CMP 25 in close collaboration with IT-Vest. CHC are responsible for shaping the academic and pedagogical framework of the programme, ensuring that it reflects both technical rigour and the specific needs of humanities research.

CHC's contribution includes:

• Designing a learning pathway that introduces participants to core methods in data analysis, programming, data management, statistics and machine learning for humanities research
• Delivering teaching and practical workshops that emphasise critical, context-sensitive uses of computational tools
• Facilitating mentorship that supports participants in developing individual research projects, grant applications, and publications within computational humanities
• Encouraging collaboration across disciplines and fostering a community of practice among humanities researchers engaged in digital and quantitative work