CSAAW
Complex Systems Advanced Academic Workshop
CSAAW (pronounced "see-saw") is an ongoing interdisciplinary research
forum that receives funding from Rackham via its Rackham
Interdisciplinary Workshops (RIW) program as well as the Center for
Study of Complex Systems.
The goal of CSAAW is to support graduate students interested in
complex systems research, especially those working towards writing a
dissertation that involves ideas from many disciplines as well as
tools used to study complex systems. Through our regular meetings,
students discuss their own work and receive feedback from other
students, faculty and researchers. For some meetings, students present
"tutorials" on various complex systems related topics or
methodology. Other meetings consist of talks by and discussions with
invited speakers who are active in complex systems research. These
speakers, many of whom are recent graduates, discuss their own work in
addition to providing advice on how to successfully complete a complex
systems (interdisciplinary) disseration, and how to navigate through
the post-graduate job market.
If you have questions about CSAAW or would like to join, please
contact csaaw-organizers
at umich.edu.
For the most up-to-date info about CSAAW, please visit our wiki. The
wiki has information about the research interests of current
participants, links to talks from previous meetings, and is a great
place to begin exploring a wide variety of topics in complex
systems.
To highlight the incredible breadth of research being done by complex systems students at the University of Michigan, CSAAW is pleased to present a new "featured student" every few weeks.
Our featured student is Maria Riolo. She is a second year PhD student in the Applied and
Interdisciplinary Mathematics program researching the dynamics of
host-parasitoid systems in spatially heterogeneous environments with
Prof. Pej Rohani (EEB and CSCS) and Prof. Mark Hunter (EEB and SNRE).
Her other current research projects include working with Prof. Mark
Newman (Physics and CSCS) to investigate network partitioning on a
budget and with Bob Savit (Physics) exploring an agent-based model of
co-adapation.
Methods and tools: Numerical and agent based models (both mostly
implemented in Python) and mathematical models (mostly implemented on
the backs of napkins).
Complex Systems concepts: Emergence of high-level structures from
low-level rules, percolation and other phase transitions
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If you know of candidates for future feature students, please contact the csaaw-organizers at umich.edu. Descriptions of past featured students can be found on this page.
