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SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez notre Politique de confidentialité et nos Conditions d’utilisation pour en savoir plus.
A good or service that beneﬁts the largest
number of people in the largest possible way.
Common good, public service, corporate social responsibility
forBig Data Social Good
“Good people using data to do good things.”
• 53,000 people in living in homeless shelters in New York during
November 2013, including over 12,000 families with over 22,000
• Eviction is one of the top reasons families lose their homes and
transition into to the city’s shelter system.
• What if we could predict which families are at heightened risk of
homelessness via eviction?
• Early warning -> early intervention
• A tool that allows social workers and advocates to predict the likelihood
of an eviction notice leading to shelter entry, as well as the timeframe
available for prevention.
• Help NGOs use the prediction results to communicate with at-risk
iCouldBe’s e-mentoring program has served over 19,000 at-risk youth
since 2000, providing middle and high school students with an online
community of professional mentors that empowers them to stay in school,
plan for future careers and achieve in life.
• Need deﬁnitions for their organizational goals and metrics to improve
• “What makes a mentoring engagement successful?”
• Deﬁned a “successful” mentee/mentor engagement as one where a
mentee completes at least 3 “quests” or learning modules in 3 months.
• Identiﬁed the characteristics of engagements and interactions.
• "I'm here for you.”
• A Predictive model to identify key predictors
• A framework for text analysis
• Find more indicators of success/failure
• Review current programs
• The Cultural Data Project (CDP) not only collects ﬁnancial and
programmatic data from over 11,000 arts and cultural institutions across
the U.S., it delivers that information back to the organizations
themselves, to the funders who support them and into the hands of
advocates and policy makers who believe in them.
• Each year, organizations ranging from small, all-volunteer dance
troupes to multi-million dollar museums across the country submit data
to CDP as part of the grant application process with public and private
funders. This means CDP has collected a broad dataset with 50,000
records, including up to 1,200 data points on each organization.
• What makes an art organisation successful?
• How can we create more effective tools and training?
• Found clusters of art organizations
• Compared the ﬁnancial success of the ﬁve clusters that resulted from
the CDP Team's segmentation.
• “cluster-4,” is the one cluster that does not achieve ﬁnancial success.
This cluster is a mixed cluster, not dominated by any one type of
• Improve the categorisation of art organizations
• Develop targeted services to organizations and enabling them to
benchmark themselves to understand how they’re doing in relation to
• GlobalGiving is the world's ﬁrst and largest crowdfunding community for
nonproﬁts. Since 2002, more than 400,000 donors have given $150
million to more than 10,500 projects in 160 countries.
• GlobalGiving also helps them learn fundraising and operational best
practices to improve their efﬁciency and increase their impact.
• GlobalGiving wanted to help their community be even more successful
by looking at their past fundraising campaigns or “projects” to
determine what factors lead to projects being successfully funded.
• They wanted to know - was there a formula for project success?
• Success factors: project title, funding amount, photos, speed of
• Projects focused on hunger did better than projects focused on
economic development and nearly 50% of donors skip the predeﬁned
donation values, choosing instead to enter their own donation amount.
• A correlation between speciﬁcity of language and project success.
• “arts” < “photography exhibit"
• Take a deeper look at the data
• Improve data quality
• Boarded up buildings and overgrown lots have plagued Chicago’s low-
income neighborhoods for decades.
• Over the past ﬁve years, however, vacant and abandoned properties
have spread beyond the inner city and into the suburbs, disrupting
formerly stable working and middle class communities and prompting
the creation of a county-wide land bank, a new tool for ﬁghting blight.
• Properties become vacant or abandoned because of weak real estate
markets in impoverished neighborhoods or because of the recent
region-wide foreclosure crisis.
• The Cook County Land Bank has one job: to acquire vacant and
abandoned properties throughout Cook County and return them to
• There are tens of thousands of boarded up homes and overgrown lots
in Cook County, and the land bank’s budget is limited.
• How will the agency ﬁgure out which of these properties to acquire, and
what to do with them?
• A database to search and analyze vacant properties.
• A model to compare the quality of neighborhoods.
• Engage stakeholders in communities to come up with mutually
• A clear, justiﬁable plan of action for putting vacant properties back to