Urban Studies and Planning Commons^™

Neighborhoods, cities and regions facing long-term declines in population and economic activity may consider alternative responses, such as revitalization, regeneration, shrinkage and abandonment. In this presentation I show that planning decisions intended to improve quality of life, informed by qualitative and quantitative data and analytic methods, implemented through accessible and affordable technologies, and based on notions of social impact and social justice, can enable residents to play a leading role in the positive transformation of shrinking cities and

distressed communities.

In recent years, discussions about ‘data analytics,' ‘big data’ and ‘performance management’ have tended to focus on organizations’ needs to collect, store, analyze, and make productive use of mostly-quantitative data to ensure that their activities are best-aligned with their missions. Without minimizing the importance of training, software and hardware selection, and organization design, there is also a need for organizations to make the best decisions they can using all data that are available – including qualitative data that may be hard to capture in information systems.

    

The goal of this Super Roundtable is to enable organizations to improve their …

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. While CDC employees have significant experience in diverse application areas, they often face limitations in acquiring, analyzing and sharing data, and using these data to solve decision problems whose solutions can generate novel strategies to address localized needs. Recent research, inspired by local responses to

the housing foreclosure crisis, and developed in cooperation with Boston‐area CDCs, has resulted in a collection of analytic methods and applications that can assist CDCs and similar organizations …