Daniel Castro is the vice president of the Information Technology and Innovation Foundation (ITIF) and director of the Center for Data Innovation. Before joining ITIF, he worked at the Government Accountability Office where he audited IT security and management controls.
Putting algorithms in charge of redistricting could fix gerrymandering.
How government can use technology to make it cheaper to buy and sell your home.
Following major data breaches, states must revisit their policies and protect citizens.
As more and more data government data becomes available, states struggle to hire the right professionals to make sense of it.
Networks of smart cities will help make the most of data-driven governing.
Many state and local governments prohibit employees from using shared services like Airbnb for official travel, even though it often means they end up paying more.
Data can play an important role in the fight against addiction, but privacy concerns are hampering the effectiveness of prescription drug monitoring programs.
Somebody tell government: A great online presence isn’t reserved for agencies with extensive resources.
A close look at U.S. presidential election predictions shows that more investment in data, not less, is the way to avoid replicating these problems in the future.
Measuring a student’s academic progress with valid, reliable data should go hand-in-hand with providing that child an education.
The defining feature of the new perceptive stage is that the work involved in interacting with government will be significantly reduced and automated for all parties involved.
Just as it would not make sense to only fund bridges and highways in one city in the United States, it makes no sense to limit investment in the sensors, systems and networks needed to build smart cities to a single location.
Policymakers must recognize the importance of this public resource.
Policymakers can improve people’s lives by strategically framing decisions to direct them toward a preferred outcome.
State legislators step back from a bill that would limit such technology and instead take a reasonable approach — that should serve as a model for state legislators considering regulation for other emerging technologies.
Leaders must start demanding that IT projects specify how they will improve productivity, and hold these projects accountable for delivering the promised value.
As government agencies try to use databases to solve serious policy issues such as curbing prescription drug abuse and improving student education, they find themselves fighting political battles rather than technological ones.
Sometimes policymakers want to alleviate anxiety about future conditions, which often manifests itself in calls for laws that will create “trust” in a particular industry.
Such relics of a paper-based world are no longer the best option for an increasingly digital government.
The public sector failed to innovate the taxi industry, but there are other opportunities.
Smart infrastructure can help policymakers make the most use of limited water resources.
State regulators should consider how they can unlock additional data sets to enable the development of sophisticated choice engines that help consumers make wiser purchasing decisions in economic areas where the market lacks transparency.
To improve public services with data-driven technology, governments need to work harder than ever to recruit, hire and retain highly skilled data engineers and managers.
U.S. elections have not kept pace with the opportunities afforded by technology.
States should push public universities to adopt open data policies.