/Blog Post

Human Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

This is the third in our three-part series “Lessons Learned Deploying Early Intervention Systems.” The first part (you can check it here) discussed the importance of data science deployments, while the second blog post in this series discussed the technical challenges related to the implementation. This final part is about the other (and typically more [...]

Tech Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

  This is the second in our three-part series “Lessons Learned Deploying Early Intervention Systems.” The first part (you can find it here) discussed the importance of data science deployments. For the past two years, we have worked with multiple police departments to build and deploy the first data-driven Early Intervention System (EIS) for police [...]

Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

From the company’s creation, Netflix has relied on the scalability and accuracy of machine learning to deliver content and turn profits. One way Netflix uses machine learning is to recommend movies to its users. A model that provides accurate and tailored recommendations at scale is valuable because it increases the value of Netflix subscriptions at [...]

Representativeness Analysis: How Our Data Reflects the Real Labor Market Dynamics

  For this month’s blog post, we are will talk about the representativeness of Data@Work Research Hub data. The Data@Work Research Hub is a collection of public datasets produced by the Open Skills Project from a growing pool of public and private administrative data sources, such as job postings, resumes, profiles, etc. for the purpose [...]

Introducing the Training Provider Outcomes Toolkit

  Trying to find a good job training program can be daunting. How do you know if the skills they teach are valuable in the job market? And how can you be sure they’re doing a good job of teaching those skills? Especially, when the costs can be high. It can feel like a gamble [...]

Introducing the Data@Work Research Hub and Funding Opportunity

  With the rapid growth and adoption of technologies like artificial intelligence having uncertain and disparate effects on labor markets, the need for high-quality interdisciplinary research into labor market dynamics and workforce development has never been so urgent. While new data sources capturing detailed interactions between job seekers, educators, and employers are making it possible [...]

Data-Driven Inspections for Safer Housing in San Jose, California

The Multiple Housing team in San Jose’s Code Enforcement Office is tasked with protecting the occupants of properties with three or more units, such as apartment buildings, fraternities, sororities, and hotels. They do so by conducting routine inspections of these properties, looking for everything from blight and pest infestations to faulty construction and fire hazards. [...]

Combining Data and Behavioral Science to Reduce Water Shut Offs

Behavioral science and psychology can help explain the underlying reasons for seemingly irrational behavior which cities aim to address, such as using payday loans or committing property crimes. Unfortunately, determining the underlying causes of human behavior is difficult for a single individual, let alone an entire population. However, the vast amounts of data collected by [...]

Introducing pgdedupe!

Combining datasets and performing large aggregate analyses are powerful new ways to improve service across large populations. Critically important in this task is the deduplication of identities across multiple data sets that were rarely designed to work together. Inconsistent data entry, typographical errors, and real world identity changes pose significant challenges to this process. To [...]

Connecting the Dots for Better Outcomes

  The most vulnerable individuals in society often struggle with long-lasting, multi-faceted challenges such as mental illness, substance abuse, chronic health conditions, and homelessness. Individuals experiencing these difficulties tend to interact with public services and departments frequently, yet many communities struggle to identify them and meet their needs in meaningful and cost-effective ways. At times [...]