Nordita, Stockholm, Sweden
Growing amount of molecular biological data combined with current advances in modeling of complex systems provide unprecedented opportunities to understand biological evolution in a quantitative way. A quantitative description of an evolving system is the first step towards prediction and control, and it opens new exciting directions for highly interdisciplinary research. The central questions are: (i) to what degree we can predict the outcome of biological evolution? (ii) what features of the system are predictable? (iii) which features confer predictive value to ultimately control an evolving population? This program brings together theoretical and experimental physicists, experimental biologists with an interest in quantitative modeling and mathematicians with interest in biological systems. We aim to create a dialog between researchers of different fields and to inspire future collaborations. In addition, further developments in this field would have significant translational impacts, e.g., by optimizing vaccines against evolving viruses, designing strategies for personalized cancer therapy and by providing insights to the problem of antibiotic resistance.
- Dan Andersson (Uppsala University)
- Erik Aurell (KTH, Stockholm)
- Claudia Bank (Instituto Gulbenkian)
- Anne-Florence Bitbol (CNRS)
- Sidhartha Goyal (University of Toronto)
- Oskar Hallatschek (UC Berkeley)
- Chris Illingworth (University of Cambridge)
- Joachim Krug (University of Cologne)
- Michael Laessig (University of Cologne)
- Peter Lind (Umea University)
- Berenike Maier (University of Cologne)
- Enzo Marinari (Sapienza University of Rome)
- Matteo Marsili (ICTP)
- Thierry Mora (ENS and CNRS)
- Alexandre Morozov (Rutgers)
- Richard Neher (University of Basel)
- Jakub Otwinowski (MPI Goettingen)
- Olivier Rivoire (CNRS)
- Olivier Tenaillon (University Paris Diderot)
- Mikhail Tikhonov (UW St. Louis)
- Erdal Toprak (UT Southwestern Medical Center)
- Aleksandra Walczak (CNRS)
- Martin Weigt (Sorbonne University)
If you want to apply for participation in the program, please fill in the application form. You will be informed by the organizers shortly after the application deadline whether your application has been approved. Due to space restrictions, the total number of participants is strictly limited. (Invited speakers are of course automatically approved, but need to register anyway.)
Application deadline: 28 Feb 2019
A minimum stay of one working week is required and we encourage participants to stay for a period of at least two weeks.
There is no registration fee.
Nordita can provide a limited number of rooms and apartments in the Stockholm apartment hotel BizApartments. If you are interested in this accommodation, please indicate when registering for the conference.
PhD students and young Postdoc fellows are eligible for travel grants to participate in the program. If you are interested in such a grant, please mark the corresponding field in the application form, briefly summarize your interest in the program in the comments field, and indicate an estimation of your expected travel expenses. Since only a limited number of grants is available, decision concerning the grants will be made on a case-by-case basis and you will be notified shortly after the application deadline.
More information about the schedule will be available here later.