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The project

Inception Goals

The Inception aims to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in various health issues.

The inception program uses Integrative Biology, Social Science, and Data Science to understand the Emergence of Diseases in Populations and Individuals, gathering different fields of expertise (biology, medicine, computer science, mathematics, statistics, physics, and social sciences). It addresses societal challenges related to diseases emergence:

  • Global surveillance and monitoring

  • Multi-scale analyses, integrating the ecosystem

  • Social sphere to define health policies

  • New methodological approaches to make sense of biological big-data

Section 1

The scientific project is divided into four axes. The first axis, “Methods for Integrative Biology”, comprises various mathematics, statistics, and computer science domains to be mobilized and developed. Their common objective is to enable the study of the emergence of diseases in populations (second axis) but also within individuals (third axis). These two scales of investigation are increasingly linked, for example, through the use of concepts and tools from evolutionary biology. Lastly, the fourth axis involves Social Sciences, in which Inception is influential in understanding and predicting the development of epidemics and building consistent health policies over the long term.

To launch the Annual Call for Research : 

  • Hiring Junior Group Leaders

  • Funding Research Proposals, including support for post-doctoral researchers' positions


To implement Graduate Multidisciplinary Education Program at the interfaces of Life Sciences and provide training opportunities for the next generation of researchers

- Training of Biologists in data analysis sciences, and conversely, computer scientists and mathematicians in biology

- Strengthen the Integrative Biology component of the Institut Pasteur’s Master's and PhD courses in partnership with PSL

- Set up a mandatory Master 2 level course in Computer Science and Statistics, targeting all PhD and postdoctoral researchers


- Launch a dedicated PhD program in partnership with the European Interdisciplinary graduate school Frontières du Vivant (FdV) and other major doctoral schools in Life sciences

- Support PhD students to be trained for multidisciplinary research in biology through specifically allocated funding where students with a solid initial background in mathematics, statistics, and computer science will be highly selected

- Provide access to Pasteur-CNAM Master specialization in Public Health

- Set up Summer School

- Develop new Online open education programs (MOOCs)

- Encourage multidisciplinary links with medicine through a specific program

- Promote entrepreneurship through the joint course entitled Development of Research and biomedical innovation, in

coordination with AP-HP and Medicen

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