Rigi Workshop 2023: Infectious diseases as drivers of change
The 3-days workshop took place at Rigi-Kulm from 29th to 31st of January 2023, with 30 PhD-students, Post-docs and even one Master Student. The 8 different speakers covered many aspects of infectious diseases, from history, to biology and technology offering new perspectives for the young researchers.
Rigi Workshop 2022: Cell Biology of Infection
Postponed from January 2021, the Rigi Workshop “Cell Biology of Infection” could finally take place from January 30th to February 1st 2022 at Hotel Rigi Kulm. 25 PhD, post-doctoral or master students from 6 different Swiss universities participated in the event, and the participants unanimously found that the workshop “met their expectations”, and they “would recommend the workshop to colleagues”.
Rigi Workshop 2020: Ecosystems under pressure - Agriculture, forestry and conservation under global change
A group of 22 PhD students from11 institutions all over Switzerland met for a three-day workshop in January 2020 on top of the Rigi mountain to discuss about pressing issues and challenges associated with global changes in agriculture, forest and conservation biology
Big answers from small packages: systems and synthetic biology of microbes
From 24. - 26. January 2016, PhD students, MSc students and early postdocs working at Swiss research institutes met leading scientists in the fields of synthetic and systemic biology at Hotel Rigi Kulm to share news and views, discuss latest results and extemd their network.
The Rigi Workshop 2015 brought together mathematics, computer science and biology. The aim of this workshop was to present interesting, cutting-edge topics from the life sciences which require mathematical modeling to PhD students working at Swiss universities. Mathematical modeling is becoming more and more instrumental in life sciences; the data complexity and the high number of interacting components, from molecules to animals, render intuitive reasoning very difficult. The idea consists in formulating mathematically how certain biological units affect each other and how these interactions affect the whole system. Such quantitative modeling approaches produce mathematical models which are then implemented using computer software.