8 January 2019, Linköping University
Location: BL34, B Building, entrance 23, level 3, Campus Valla
This workshop is sponsored by The Swedish Foundation for International Cooperation in Research and Higher Education (STINT).
Timetable
- 09.05-09.15 Opening
- 09.15-09.45 Anna Eklöf, Department of Physics, Chemistry and Biology (IFM), Linköping University, Sweden.
Consequences of species extinctions on ecosystem service delivery in a large ecological network – a Bayesian network approach
- 09.45-10.15 Ivan Sudakov, University of Dayton, USA.
The Mathematics of Climate Tipping Points
- 10.15-10.45 Tom Lindström, Department of Physics, Chemistry and Biology (IFM), Linköping University, Sweden.
Hierarchical Bayesian modeling for ecology and epidemiology
- 10.45-11.15 Coffee
- 11.15-11.45 Thadei Sagamiko, University of Dar es Salaam, Tanzania.
Optimal Control of a Threatened Wildebeest-Lion Prey-Predator System in the Serengeti Ecosystem
- 11.45-12.15 Gyuri Barabas, Department of Physics, Chemistry and Biology (IFM), Linköping University, Sweden.
The evolution of trait variance creates a tension between species and functional diversity
- 12.15-13.15 Lunch
- 13.15-13.45 Sergey Vakulenko, Saint Petersburg, Russia.
Biodiversity, extinctions and limit evolution structures in food webs
- 13.45-14.15 Uno Wennergren, Department of Physics, Chemistry and Biology (IFM), Linköping University, Sweden.
Periodic Boundaries in Ecological Settings
- 14.15-14.45 Jonathan Andersson, Department of Mathematics (MAI), Linköping University, Sweden.
Density-dependent feedback in age-structured populations
- 14.45-15.15 Coffee
- 15.15-15.45 Sonja Radosavljevic, Stockholm University, Sweden.
Social-ecological traps from dynamical systems perspective
- 15.45-16.15 Geneviève Metson, Department of Physics, Chemistry and Biology (IFM), Linköping University, Sweden.
Transport optimization models to help with the Swedish biobased circular economy
- 16.15-16.45 Samia Ghersheen, Department of Mathematics (MAI), Linköping University, Sweden.
Mathematical analysis of SIR models with coinfection and density dependence: degree of complexity
