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Network Evaluation Using the PARTNER Tool
As more organizations and communities collaborate, measuring, evaluating, and using data from community networks can be a challenging endeavor. A novel yet growing approach is the use of Social Network Analysis (SNA) to assess the quality and quantity of the interrelationships between people and organizations in communities, especially as a way to describe program and intervention outcomes.

The Center on Network Science is the home of the PARTNER (Program to Analyze, Record, and Track Networks to Enhance Relationships –, one of the leading SNA tools to evaluate cross-sector interorganizational networks, In this webinar, Dr. Danielle Varda, Director of the Center on Network Science at the University of Colorado Denver will provide an introduction and demo of the PARTNER Tool.

This webinar will focus on:
•Why to use the PARTNER Tool as a SNA approach in evaluation
•How to use SNA in evaluation
•How to make evidence-based decisions for effectively managing and improving your network’s outcomes.
•How to translate SNA findings into action steps and strategies

Presenter Bio: Danielle M. Varda is an Associate Professor at the School of Public Affairs (SPA), University of Colorado Denver with a secondary appointment in the Colorado School of Public Health, Department of Health Systems, Management, and Policy. She also has a courtesy Associate Professor appointment in the School of Information Sciences at the University of Colorado Boulder. She is Director of the Center on Network Science (, Director of the Nonprofit Concentration in the MPA program, and Advisor to the Dual MPA-MPH Degree. Dr. Varda directs the Network Leadership Training Academy ( held annually in Denver at the School of Public Affairs. She also sits on the AmeriCorps NCCC Federal Advisory Board, and is an alumna of the AmeriCorps NCCC (Class 5 and 6).

Nov 28, 2017 11:00 AM in Mountain Time (US and Canada)

Webinar is over, you can not register now. If you have any questions, please contact Webinar host: Center on Network Science.