Trust but Verify: How Open Data Connects Gov and Citizens
With open data, governments shouldn’t be transparent for transparency’s sake, but to grow the trust of the citizens in their leadership.
Open Data
Should This Be the Future of Open Data?
The future of open data is about growing the user base. Taking a lesson from the creator of Mario Bros. can make data portals easy to use.
Community Sourcing a Solution for Net Neutrality Rollback Challenges
Civic engagement is key to truly producing change at a policy level. However, it is only one piece of the puzzle.
Net Neutrality: Should Cities Take Action?
The repeal of net neutrality rules was officially and completely rolled back on June 11, 2018. What’s next? How can cities protect themselves?
DorobekINSIDER: Defining Mobility as a Service
These days we hearing about many things being delivered “as a service.” Recently, I got to moderate two days of discussions about mobility as a service.
Striving for a More Transparent Government
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.
The Future of Open Data and Its Relationship with the Private Sector
This post discusses the role that the private sector can and should play in ensuring open data reaches its fullest potential in the public arena.
Open Data and Trust in Government
This is just one example of the power of an initiative that is still in its most nascent stage. With respects to open data and building trust in government, the best is yet to come.
Los Angeles Is Becoming a City of the Future. Here’s How
Jeanne Holm, Deputy Chief Information Officer of the City of Los Angeles, explained some of these advancements to kick off GovLoop’s virtual summit.
4 Steps to a Data-Driven Culture
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.