Transcript of "Boston Civic Expo Spring 2013: URBAN.Boston"
Michael P. JohnsonDepartment of Public Policy and Public Affairs, University of MassachusettsBostonandURBAN.BostonCode for Boston – Boston Civic Expo, June 1, 2013
Community-based organizations, especiallythose serving low-income communities, aremission-rich but often data- and analytics-poor ‘Big data’ and analytics movements are oftenbetter-suited for large non-profits Opportunities for data scientists, policyanalysts and decision scientists:◦ What data do CBOs say they need to be successful?◦ How can we help them acquire, analyze and share it?◦ How can such data improve decision-making?
I am a professor in the Department of PublicPolicy and Public Affairs at UMass Boston,trained in operations research and committedto decision modeling for housing, communitydevelopment and service delivery URBAN.Boston is a local ‘node’ of a nationalinitiative, from MIT’s CoLab, to fosterresearch-community collaborations forinnovative policy solutions and social justice
What data do resource-constrained CBOs inunderserved communities need to achievetheir goals?◦ Qualitative/subjective vs. quantitative/objective◦ Shareable, searchable, accessible◦ Responsive to local needs, values, resources How can CBOs make informed decisions toprovide key services and improvecommunities?◦ Descriptive analytics◦ Predictive analytics◦ Prescriptive analytics
Boston Indicators Project,http://www.bostonindicators.org/ Metro Boston Data Common,http://metrobostondatacommon.org/ Boston Research Map project,http://worldmap.harvard.edu/boston/ Mel King Institute for Community Building,http://www.melkinginstitute.org/ Johnson (Ed) 2011, Community-Based OperationsResearch: Decision Modeling for Local Impact andDiverse Populations (Springer) Boland, S. 2012. “Big Data for Little Nonprofits”,Nonprofit Quarterly
Engage community members and localorganizations at URBAN.Boston-sponsoredevents to learn about values, priorities, needs◦ How do problems to be solved motivate datanecessary requirements?◦ How can appropriate data yield information,insights and decision opportunities? Collaborate with professionals and studentsto develop ‘information and decision aids’◦ Policies, procedures, rules-of-thumb◦ Databases and applications
Community-based organization(s) willarticulate data needs, and use any localresources, existing or new, to meet them Community-oriented solutions will beaffordable, flexible, technologically-accessible, multi-platform, inter-disciplinary CBOs will be empowered to advocate, lead,serve and collaborate more effectively Residents representing the diversity of Bostonwill be central to this process
Michael:◦ Department of Public Policy and Public Affairs,University of Massachusetts Boston◦ email@example.com◦ http://works.bepress.com/michael_johnson/ URBAN.Boston◦ LinkedIn: URBAN.Boston◦ Facebook: https://www.facebook.com/UrbanBoston◦ Mark Warren: firstname.lastname@example.org