Committees at Azavea
By Robert Cheetham on December 16th, 2019
What are our committees and what do they do? Hear from Robert and Azaveans what each of our committees are and why they matter.
3 Ways to Analyze the Results of a Supervised Machine Learning Model
By Joe Morrison on December 13th, 2019
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.
Modeling State with TypeScript
By Peter Caisse on December 12th, 2019
Working with frontend state can be challenging. With TypeScript, thoughtfully constructed types can help prevent bugs by making bad states unrepresentable. Let's explore a common use case and examine how to do this effectively in TypeScript.
Ethical Machine Learning for Disaster Relief: Rage for Machine Learning
By Niki LaGrone on December 10th, 2019
ML's predictive powers are driving a rage for deep learning in the crisis management and disaster relief industries. How can these powers be harnessed for ethical machine learning?
Expanding Leadership Opportunities with Committees
By Robert Cheetham on December 9th, 2019
Leadership is an activity, not a position. We developed a committee system in 2016 to provide leadership opportunities for all of our colleagues and to enhance our work space.
Without Local News, I Can’t Do My Job
By Stephanie Thome on December 5th, 2019
The Cicero Team often relies on local news websites to keep our elected official data up to date. However, local news is on the decline and websites are harder to navigate. This post discusses the impact the lack of local election results may have on civic engagement.