/Blog Post

Improving Traffic Safety in Jakarta Through Video Analysis

2018-09-19T14:58:21+00:00

By João Caldeira, Alex Fout, Aniket Kesari, Raesetje Sefala The World Health Organization (WHO) estimates that over 1.25 million people die each year in traffic accidents. Nearly 2000 such fatalities occur annually in Jakarta, Indonesia alone, making it one of the most dangerous cities in the world for traffic safety. These deaths are tragic, but many [...]

Improving Traffic Safety in Jakarta Through Video Analysis2018-09-19T14:58:21+00:00

Tackling Tenant Harassment in New York City: 
A Data-Driven Approach

2018-08-08T12:20:48+00:00

By Jerica Copeny, Samantha Fu, Rebecca Johnson, and Teng Ye This summer, our team of Data Science for Social Good fellows at the University of Chicago has partnered with the New York City Mayor’s Public Engagement Unit (PEU) with the goal of helping them better target their outreach to tenants who may be experiencing housing-related [...]

Tackling Tenant Harassment in New York City: 
A Data-Driven Approach2018-08-08T12:20:48+00:00

Data Science for Social Good Announces 2018 Projects in Chicago and Lisbon

2018-07-02T16:23:18+00:00

2018 Data Science for Social Good Goes Global, Tackling Diabetes, Tenant Harassment, Unemployment, and More Fellows in Chicago and Portugal adapt data science and AI approaches for projects with non-profits and international governments In Chicago and Portugal this summer, the science behind self-driving cars, virtual assistants, and targeted advertising will be repurposed for nobler pursuits: [...]

Data Science for Social Good Announces 2018 Projects in Chicago and Lisbon2018-07-02T16:23:18+00:00

Human Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

2018-05-12T14:06:46+00:00

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 [...]

Human Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville2018-05-12T14:06:46+00:00

Tech Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

2018-05-12T14:06:48+00:00

  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 [...]

Tech Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville2018-05-12T14:06:48+00:00

Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville

2018-05-12T14:06:49+00:00

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 [...]

Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville2018-05-12T14:06:49+00:00

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

2018-05-12T14:06:50+00:00

  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 [...]

Representativeness Analysis: How Our Data Reflects the Real Labor Market Dynamics2018-05-12T14:06:50+00:00

Introducing the Training Provider Outcomes Toolkit

2018-05-12T14:06:50+00:00

  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 Training Provider Outcomes Toolkit2018-05-12T14:06:50+00:00

Introducing the Data@Work Research Hub and Funding Opportunity

2018-05-12T14:06:52+00:00

  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 [...]

Introducing the Data@Work Research Hub and Funding Opportunity2018-05-12T14:06:52+00:00

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

2018-05-12T14:06:53+00:00

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. [...]

Data-Driven Inspections for Safer Housing in San Jose, California2018-05-12T14:06:53+00:00