The project

Inception Goals

The Inception’s goal is to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in a range of health issues.

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

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, referred as “Methods for Integrative Biology”, comprises a range of 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, to which Inception gives an influential role, to understand and predict the development of epidemics, and build consistent health policies over the long term.

To launch 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 Integrative Biology component of the Institut Pasteur’s Master and PhD courses, in partnerships 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 specific allocated funding: students with a strong initial background in mathematics, statistics and computer science will be highly selected
Give access to Pasteur-CNAM Master specialization in Public Health
Set up Summer’s School
Develop Online new open education MOOCs programs
Encouraging multidisciplinary links with medicine through specific program
Promote entrepreneurship through the joint course entitled Development of research and biomedical innovation, in coordinationwith AP-HP and Medicen