In government, listening is more than courtesy — it’s a leadership skill. When leaders truly listen, constituent engagement becomes more meaningful, responsive, and effective.
AI systems increasingly act as intermediaries between government information and the people seeking it. That could be risky when AI misinterprets the context of information it draws from. Learn about technology that can head off these concerns.
We can manage our emotional labor or it can manage us. Read on for practical tips about managing the invisible side of your performance.
Logic models are required for some grant applications because they can help ensure a consistent understanding of the program or initiative under consideration, among other benefits. Learn how to create logic models, including graphic illustrations.
Stepping into a supervisory role requires more than new responsibilities — it requires a shift in mindset. Many new leaders struggle not because they lack skill, but because they underestimate the transition itself.
Since the internet’s arrival, people have been accessing government information far from its original source — from the agency website, for instance, that first published it. The information may still be accurate, but the context that makes it trustworthy is lost.
Agency leaders often assume that subject matter experts can teach the information they know, by virtue of knowing it. But understanding and teaching are two separate competencies. It’s up to leaders to train SMEs so they can train other staff.
If leaders are what they read, most of us are running on a questionable information diet. The quality of our thinking reflects the quality of what we let in. This article offers a sharper way to choose your inputs.
There is nothing “soft” about the skills needed to lead employees through change, uncertainty and conflict. Today, successful government leaders must be able to guide people, not just projects.
Cities exploring AI for municipal field dispatch need clear work definitions, reliable data, approved operating rules, deployment planning and measurable outcomes before AI can improve urgent field-service response.