The government relies on data to perform a number of critical services and simply to function. But what happens when data fails?
If you’re knee deep in the data and starting to feel lost, here’s how you can scope your data science projects.
What can you learn from this TED Talks speaker about data visualization and effective storytelling?
Data drills are a mechanism for helping a city to baseline where they are with citywide data practices. They’re also a mechanism for helping a city improve their ability to identify, understand and use data to solve a city challenge when requested.
If you are starting a data science service in your jurisdiction, your first task will be to develop a backlog of projects. This article walks you through how to solicit and select data science projects.
Jeanne Holm, Deputy Chief Information Officer of the City of Los Angeles, explained some of these advancements to kick off GovLoop’s virtual summit.
Predictive policing is being used by many municipal and federal law enforcement agencies both domestically and internationally to decrease crime. But community outreach with data-driven strategies can be more effective.
A growing number of agencies are showing interest in Adobe’s Digital Economy project to gain a more holistic view of citizens’ digital experiences across multiple websites.
Algorithms are made up of someone’s opinion and experience. Therefore, we should ensure that the opinion and experience of people who will be impacted by the algorithm is captured in the design of the algorithm such that we can remove as much bias as humanly possible.
Creating a data-driven culture depends on cultivating a mindset of experimentation, having the right infrastructure in place and developing the skills to interpret the signal from the data, while ignoring the noise in it.