Complex Adaptive Systems as a Model for Network Evaluation

September 1st, 2012 - August 31st, 2016 | PROJECT

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.

Project Website(s)

(no project website provided)

Project Products

Building Evaluation Capacity in a Complex World: Practical Lessons for Organization and Project Leaders

Team Members

Frances Lawrenz, Principal Investigator, University of Minnesota
Jean King, Co-Principal Investigator, University of Minnesota
Marjorie Bequette, Co-Principal Investigator, Science Museum of Minnesota
Elizabeth Kollmann, Co-Principal Investigator, Museum of Science, Boston
Scott Pattison, Former Co-Principal Investigator, Oregon Museum of Science and Industry
Christine Reich, Former Co-Principal Investigator, Museum of Science, Boston
Marta Beyer, Project Staff, Museum of Science, Boston
Christopher Cardiel, Project Staff, Oregon Museum of Science and Industry
Lauren Causey, Project Staff, Science Museum of Minnesota
Melanie Francisco, Project Staff, Oregon Museum of Science and Industry
Juli Goss, Project Staff, Museum of Science, Boston
Stephanie Iacovelli, Project Staff, Museum of Science, Boston
Gayra Ostgaard Eliou, Project Staff, University of Minnesota
Sarah Cohn, Project Staff, Science Museum of Minnesota
Molly Illes, Project Staff, University of Minnesota
Al Onkka, Project Staff, Science Museum of Minnesota
Debbie Siegel, Project Staff, Oregon Museum of Science and Industry
Anne Sinkey, Project Staff, Oregon Museum of Science and Industry

Funders

Funding Source: NSF
Funding Program: NSF PRIME
Award Number: 1228868
Funding Amount: $799,881

Tags

Audience: Evaluators | Museum | ISE Professionals
Discipline: Engineering | Materials science
Resource Type: Project Descriptions
Environment Type: Professional Development | Conferences | Networks | Resource Centers and Networks

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This material is supported by National Science Foundation award DRL-2229061, with previous support under DRL-1612739, DRL-1842633, DRL-1212803, and DRL-0638981. Any opinions, findings, conclusions, or recommendations contained within InformalScience.org are those of the authors and do not necessarily reflect the views of NSF.

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