Why don’t more child welfare agencies use predictive risk models?
Many agencies worry their data isn't clean enough, but proponents of predictive algorithms said they've seen them produce favorable outcomes in child welfare.
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AI bridges data-sharing gaps for faster disaster response
AI-powered ‘data fabrics’ bring advanced capabilities to disaster response by unifying disparate data streams and bringing decision-making closer to where it’s needed.
LA County’s new predictive model shows early success in homelessness prevention unit
The California Policy Lab found that LA County's Homelessness Prevention Unit is finding success with a new predictive analytics model.
Inside LA County’s homelessness prevention unit
Dana Vanderford of the Los Angeles County Department of Health Services' Homelessness Prevention Unit shares how data is being used to improve case management.
Low-quality data makes AI stupid, says Virginia’s data chief
Ken Pfeil, Virginia’s chief data officer, said he's afraid of what may happen if governments train their AI models on sloppy data.
How cognitive cities can boost urban innovation
Cities have long been limited by access to actionable intelligence, but that's changing in a big way with the advent of cognitive cities.
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Boston’s new centralized data platform is the city’s starting point for predictive analytics
Initially focused on centralizing data and improving data-sharing, officials say this is the first step before tackling challenges before they appear.
Under new CEO, Premise brings crowdsourced research to government
The company pays users for taking photos, walking certain routes, or answering questions that help government fill knowledge gaps.
To squash rat outbreak, D.C. turns to technology
Following a surge in rodent complaints, local government is using predictive analytics, hackathons and smart trash cans to take back the streets.