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A warm welcome to
IceLab Stress Response Kick-Off Conference
10 - 11 June 2024
Umeå University
 


Stress Response Modeling at IceLab, a VR-funded excellence center dedicated to
modeling adaptive mechanisms in living systems under stress, warmly invites you
to our kick-off conference. 

 

Conference Schedule 

 * June 10: Official inauguration of the excellence center. The day will be
   filled with engaging sessions from international keynote speakers exploring
   our central theme. We also invite researchers to present their unique
   challenges and methods connected to living systems under stress. 
 * June 11: Nurturing of project seedlings. We encourage researchers to delve
   deeper into new research territories in small working group sessions. 

 

Why you should join 

This kick-off conference aims to improve our mutual understanding of the
research gaps and tools in understanding adaptive mechanisms in living systems
under stress and develop a common language. Our specific goal is to establish
working groups by the end of the second day, with the initiation of project
ideas to be developed in collaboration with Stress Response Modeling at IceLab. 

You will find new collaborators with complementing skills to explore your
research questions under the research umbrella of living systems under stress.
We encourage all to take part in this kick-off conference - empiricists,
modelers, theoreticians, bioinformaticians are all welcome. 

 

LINK TO REGISTRATION >>

 

About the Excellence Center 

Stress Response Modeling at IceLab is a multidisciplinary complexity center. Our
mission is to uncover universal principles and adaptive mechanisms in living
systems under stress. These insights will explain the conditions that lead to
the emergence of stability, resilience, and resistance, as opposed to multiple
states, critical transitions, and tipping points. 

We conduct our research across three pillars: 

 1. Experiments and data: System-specific empirical knowledge shared across
    organization scales of study systems. 
 2. Network inference modeling: For predictions and mechanistic hypotheses. 
 3. Dynamical systems modeling: Explaining how these systems drive or inhibit
    critical transitions. 

Integrating research across these pillars requires innovative thinking and the
involvement of researchers from empirical, data-driven, and theoretical life
science backgrounds. Collaboration across these diverse fields can be
challenging. 

 



 

Read more about IceLab here >>