Get access to our expert approach to understanding the civic experience. It’s 2022 and the cities are concerned with IOT, smart cars, and micro-mobility. With all of this technology and …
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What is Text Analysis? Text Analysis (TA) and Natural Language Processing (NLP) are closely related subfields of Artificial Intelligence (AI) and Machine Learning (ML). The tools allow computers to understand …
Last year, co:census was named as a top ethical data collection solution in North America. For us, it was a moment of recognition based on our best practices for inclusive …
Sentiment analysis plays an important role in many industries. From market research to customer feedback analysis, sentiment analysis can be used to pull insights from text data. When put into …
How can I implement more inclusive community engagement practices? This is a question we’ve heard, over & over again, from both clients and our community. And while there are a …
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This article was co-authored by Rick Usher, Founder and CEO of The Usher Garage LLC and Former Assistant City Manager of Kansas City, MO, and James O’Brien, Business Development Account Manager at …
Last year, our team launched co:census with one goal in mind: breaking down barriers for civic engagement and increasing access for those who are traditionally shut out of the conversation. …
co:census 1st Annual Study: Surveying Government Innovation Teams Read More »
NEW YORK (July 13, 2021) – Growing public interest and scrutiny in ensuring ethical data collection and analysis has required governments and major corporations to look towards products that uphold …
co:census Raises the Standard for Ethical, Unbiased Data Read More »
co:census 1.0 Over the past year, our team has conducted countless survey design meetings, user interviews and onboarding calls. We’ve taken your feedback and are excited to announce that co:census …
Drive Public Engagement in the Bay Area Located in Northern California, The Bay Area is home to some of the world’s finest wine country and beautiful landscapes. However, in the …
