Morning Session: (9:00 - 12:00)

• Tutorial Track A: "Introduction to control and dynamical systems" Synopsis:The morning tutorial will focus on a basic introduction to control and dynamics using case studies from physiology and biology. Topics will include state space models, simulation, stability analysis, feedback, transforms, input-output methods, nonlinear dynamics, bifurcations, notions of organized and disorganized complexity, and layered architectures. Case studies will include control systems involved in cell metabolism and signal transduction, human cardiovascular systems, and inflammation. Topics will be adjusted based on attendees background and interests, with the aim of bridging between their existing backgrounds and the afternoon tutorials on either agent based modeling or connecting models and data.

J. Doyle, Pasadena, CA, USA

Afternoon Session: (13:00 - 18:00)

• Tutorial Track A: "Connecting data and models" Synopsis: The afternoon tutorial will focus on comparing data and models, including methods from statistics, system identification, and machine learning. Some additional model methods may be reviewed here as needed. A particular focus will be on rigorous methods to analyze and model high variability phenomena, with case studies from cellular noise to heart rate variability. The complementary and contrasting use of both black-box and mechanistic models will be highlighted.

J. Doyle, Pasadena, CA, USA

• Tutorial Track B: "Agent based modeling: An Introduction" Synopsis: Agent-based modeling is an object-oriented, discrete-event, rule-based method for creating computer simulations, and has been used extensively in the biomedical arena to represent a range of topic extending from cell signaling to epidemiology. This tutorial will introduce the basic concepts associated with agent- based modeling, with particular emphasis on its utility as a means of dynamic knowledge representation of biomedical systems. The tutorial will also include a hands on session where attendees with be taken step-by-step through the creation of a very basic but scalable agent-based model using the freeware toolkit NetLogo. Attendees should bring their own laptops for the session with NetLogo downloaded and installed (the package can be downloaded for free from http://ccl.northwestern.edu/netlogo/). During the tutorial session attendees with be guided through the development of a basic cell-level agent-based model, given the opportunity to expand upon the base model, and instructed on how to carry out simulation experiments.

G. An, Chicago, IL, USA

13:00 - 13:45 Introduction to Agent-based modeling and its biomedical applications.

13:45 - 15:30 Tutorial Part I: Getting started on a cell-based inflammation/infection agent-based model

Session 1:  (10:00 - 12:30)

Mechanistic modeling and model based control II

(Speakers to be determined by scientific committee's selection from submitted abstracts.)

(Presentation of posters selected from abstract submission by scientific committee; formal walk-around for poster group I)

16:00 - 18:00 Tutorial Part II: Modification and customization of the base inflammation model and running simulation experiments

Machine learning and Artificial Intelligence Approaches to Critical Care Data:

(Speakers to be determined by scientific committee's selection from submitted abstracts.)

Moving the frontier: future perspectives

Physiological Signals and Nonlinear Time Series Analysis I

Physiological Signals and Nonlinear Time Series Analysis II

(Presentation of posters selected from abstract submissions by scientific committee; formal walk-around for poster group II)