Knowledge is power, but it can be really difficult to get a handle on what’s going on with government. The key to creating more transparent government is leveraging digital technologies to make information accessible to everyone.
Setting the goal of having coffee with 50 people forces you to be clear about your goals.
Open data will never be as pervasive or transformational without addressing the core obstacles that agencies face in sharing data.
Let’s examine what’s currently available to public stakeholders and how we could make all our IT programs and projects more transparent.
Civic engagement is a bad brand. If we’re to capture the attention of more people, we need to change its brand for the better.
Truth is a point of view, but authenticity can’t be faked. Peter Gruber One of the challenges that we have in New Zealand – like so many other places – is how government engages with people. The intentions are good: public servants are genuinely interested in creating policy and implementing processes that work well forRead… Read more »
Government rebels from all walks of life spanning a range of government agencies united in full force at this year’s NextGenGov’s summit, and it was inspiring. Now, these rebels were not your stereotypical outliers or black sheep; the packed room included a Fellow from the State Department, a Medicaid expert from Wyoming, and a ManagementRead… Read more »
Sometimes it’s not the destination, but the journey that truly counts. That’s the philosophy some of the government’s best and brightest are adopting with open data programs. Open data is not just a single solution, but a path to solving the plethora of problems government faces now and will face in the future. Open dataRead… Read more »
To mark the start of Public Sector Innovation Month 2015 in Australia, here’s a set of awesome and inspiring quotes from a diverse group of women and men who have dared to make a difference. Join the activities this July and be inspired to Dream, Dare, Do.
One of the many challenges involved in architecting “Big Data” solutions is in just moving the stuff around. Sometimes it makes sense to move the work to the Data (instead of the other way around). This assumes that your Data is already in a form that is amenable to heavy-duty analytics. More typically, you’re lookingRead… Read more »