Modeling Interest Group (MIG)

Visiting Scholars/ Researchers Program in Systems Biology

Modeling Interest Group (MIG)

To promote collaboration, CCBS has organized an Interest Group in Modeling Biological Systems to bring together people from different disciplines who share the common goal of developing a more in-depth understanding of biological systems from molecules to cells to organisms. The meetings will consist of informal/formal seminars, tutorials, workshops, demonstrations, research-in-progress, and brainstorming. The typical meeting will last 1 to 1½ hours, and the group will meet once or twice a month.

Training
One of the primary functions of CCBS is to educate and train practitioners of systems biology. In particular, it is essential to to groom the next-generation of systems biologists through the creation of innovative programs that emphasize multi-disciplinary studies and collaborative learning. UCI offers graduate training in systems biology through the Howard Hughes Medical Institute-funded initiative in Mathematical, Computational and Systems Biology (MCSB) and the affiliated Mathematical and Computational Gateway Program (MCB). See http://mcsb.bio.uci.edu/ for more information. 

Diversity
Diversity in the systems biology community at UCI is a central priority of CCBS. We have gathered and carefully considered the appropriate statistics in order to take the most effective actions. Linked is a table describing the applicant pool diversity for the component fields of systems biology. Data were obtained through the UCI Office of Equal Opportunity and Diversity (http://www.eod.uci.edu/availstats.html), and come from the NSF Survey of Earned Doctorates, administered by the NORC. Information on tenured facutly is based upon a time period of the 6th through 20th years of most recently available data (15-year span), and reflect earned doctorate pools from 1985 - 1999. Information on non-tentured faculty is based upon a time period of the 1st through 5th years of most recently available data (5-year span), and reflect earned doctorate pools from 2000-2004.  The data were collected for use by UCI academic search committees in assessing the gender and racial/ethnic composition of candidate pools in comparison to national pools of availability.