Complex Adaptive Systems as a Model for Network Evaluation

Date: 
Saturday, September 1, 2012 to Wednesday, August 31, 2016
Resource Type:
Project Descriptions
Environment Type: 
Professional Development, Conferences, and Networks, Resource Centers and Networks
Audience: 
Museum/ISE Professionals | Evaluators
Discipline: 
Engineering | Materials science
Organization:
University of Minnesota, Science Museum of Minnesota, Museum of Science, Boston, Oregon Museum of Science and Industry
Description or Abstract: 

The Complex Adaptive Systems as a Model for Network Evaluations (CASNET) study was a four-year research project investigating evaluation capacity building (ECB) within a network using a complexity theory lens. The study used a case study approach to examine and understand evaluation capacity building within the Nanoscale Informal Science Education Network (NISE Net). NISE Net is a national community of researchers and informal science educators dedicated to fostering public awareness, engagement, and understanding of nanoscale science, engineering, and technology. Instituted in 2005 through NSF funding (DRL-0532536 and 0940143), NISE Net has continuously expanded and is currently comprised of close to 600 science museum and university partners. The intent of the CASNET project was to provide insights on (1) the implications of complexity theory for promoting widespread and systemic use of evaluation within a network, and (2) complex system conditions that foster or impede ECB within a network, i.e., in this case, within the NISE Net.

Funder(s): 
NSF
Funding Program: 
NSF PRIME
Award Number: 
1228868
Funding Amount: 
$799,881

Team Members

Frances LawrenzFrances LawrenzPrincipal Investigator
Jean KingJean KingCo-Principal Investigator
Marjorie BequetteMarjorie BequetteCo-Principal Investigator
Elizabeth KollmannCo-Principal Investigator
Scott PattisonFormer Co-Principal Investigator
Christine ReichChristine ReichFormer Co-Principal Investigator
Marta BeyerMarta BeyerProject Staff
Christopher CardielProject Staff
Lauren CauseyLauren CauseyProject Staff
Melanie FranciscoMelanie FranciscoProject Staff
Juli GossJuli GossProject Staff
Stephanie IacovelliStephanie IacovelliProject Staff
Gayra Ostgaard EliouGayra Ostgaard EliouProject Staff
Sarah CohnProject Staff
Molly IllesMolly IllesProject Staff
Al OnkkaProject Staff
Debbie SiegelDebbie SiegelProject Staff
Anne SinkeyAnne SinkeyProject Staff

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