Human growth data analysis and statistics – the 5th Gülpe International Student Summer School




Summer Schools, Statistical Exercise, Repetition


The Summer School in Gülpe (Ecological Station of the University of Potsdam) offers an exceptional learning opportunity for students to apply their knowledge and skills to real-world problems. With the guidance of experienced human biologists, statisticians, and programmers, students have the unique chance to analyze their own data and gain valuable insights. This interdisciplinary setting not only bridges different research areas but also leads to highly valuable outputs. The progress of students within just a few days is truly remarkable, especially when they are motivated and receive immediate feedback on their questions, problems, and results. The Summer School covers a wide range of topics, with this year’s focus mainly on two areas: understanding the impact of socioeconomic and physiological factors on human development and mastering statistical techniques for analyzing data such as changepoint analysis and the St. Nicolas House Analysis (SNHA) to visualize interacting variables. The latter technique, born out of the Summer School’s emphasis on gaining comprehensive data insights and understanding major relationships, has proven to be a valuable tool for researchers in the field. The articles in this special issue demonstrate that the Summer School in Gülpe stands as a testament to the power of practical learning and collaboration. Students who attend not only gain hands-on experience but also benefit from the expertise of professionals and the opportunity to engage with peers from diverse disciplines.


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Gasparatos, N./Scheffler, C./Hermanussen, M. (2023). Assessing the applicability of changepoint analysis to analyse short-term growth. Human Biology and Public Health 3, 1–2.

Groth, D./Scheffler, C./Hermanussen, M. (2019). Body height in stunted Indonesian children depends directly on parental education and not via a nutrition mediated pathway - Evidence from tracing association chains by St. Nicolas House Analysis. Anthropologischer Anzeiger.

Groth, Detlef (2023). snha: Package for creating correlation networks using the St. Nicolas House Algorithm. Potsdam, Germany 2023. Available online at (accessed 6/21/2023).

Hake, T./Bodenberger, B./Groth, D. (2023). In Python available: St. Nicolas House Algorithm (SNHA) with bootstrap support for improved performance in dense networks. Human Biology and Public Health 3, 1–2.

Hermanussen, M./Geiger-Benoit, K./Burmeister, J./Sippell, W. G. (1988). Periodical changes of short term growth velocity ('mini growth spurts') in human growth. Annals of human biology 15 (2), 103–109.

Malambo, C./Musalek, M. (2023). No association between anthropometry and IQ in Czech preschool children. Human Biology and Public Health 3, 1–2.

R Core Team (2022). R: A language and environment for statistical computing. Vienna, Austria. Available online at (accessed 6/21/2023).

Rösler, A./Scheffler, C./Hermanussen, M. (2023). No evidence of growth impairment after forced migration in Polish school children after World War II. Human Biology and Public Health 3.




How to Cite

Groth, D., Scheffler, C., & Hermanussen, M. (2023). Human growth data analysis and statistics – the 5th Gülpe International Student Summer School. Human Biology and Public Health, 1.



International Student Summer School