Next Generation Evaluation: Center for Social Innovation (CSI)

Next Generation Evaluation


	Shared Measurement And Big Data For Good A critical approach to measurement, evaluation, and data collection is needed for nonprofits to expand impact in an increasingly interconnected social world. In this panel discussion at Next Generation Evaluation conference, Kathy Brennan, Patricia Bowie, and Lucy Bernholz give provocative overviews of developmental evaluation research design, shared measurement for collective impact, and the social responsibility of nonprofits employing big data for good. Resource: Audio
	Optimized Social Responsibility Through Evaluation Three evolving approaches to evaluation could change how it is used in social enterprise. In this audio lecture, Hallie Preskill, FSG managing director, opens the 2013 Next Generation Evaluation conference with examples of how leading social sector organizations are thinking about and applying evaluation. Preskill discusses in detail three new approaches to evaluation: developmental evaluation, shared measurement, and big data. She explains the trends and identifies how evaluation must evolve to optimize social enterprise efforts. Resource: Audio
	Implications for the Social Sector Effective evaluation is about more than measuring impact—it’s about figuring out what works and why. In this panel discussion at the Next Generation Evaluation conference, Lisbeth Schorr, Fay Twersky, and Alicia Grunow discuss the implications of evaluative techniques such as shared measurement, big data, and improvement science for philanthropy and nonprofit management. Resource: Audio
	Embracing Complexity in Social Enterprise Evaluation Embracing complexity is essential in social enterprise evaluation. In this audio lecture, Brenda Zimmerman, Associate Professor of Policy at York University’s Schulich School of Business, suggests approaches for addressing complexity in evaluation systems. In the closing keynote at the 2013 Next Generation Evaluation Conference, Zimmerman explores ways to embrace complexity in social sector evaluation practice. She describes how social innovation can be fostered by applying cognitive diversity to solve structural and causative complexity problems. Resource: Audio