Eight Strategies for Transforming Government

Importantly, the areas address both individual trends influencing government, and topics that can be addressed with even greater impact if assessed in a way that integrates across trends—such as driving an agile approach to digital innovation that improves outcomes. This integrative approach is especially true for how different trends relate to equity across government programs and foster trust in government institutions,

Innovation and Emerging Technologies in Government: Keys to Success

The obstacles to implementing technological innovation in government often have less to do with hardware and software than people and processes. How can leaders recognize the need for new technology? How do innovators find funding and put the pieces in place to test a new idea? How does an agency define and measure success?

Laboratories of Innovation: Building and Using Evidence in Charter Schools

As originally envisioned, charter schools were intended to be laboratories of innovation. Offering broad flexibility in exchange for performance-based accountability, charter schools are well-positioned to test, validate, and adopt new practices in a public school environment.

A Playbook for CIO-Enabled Innovation in the Federal Government

In the federal government, for example, agencies have begun to designate chief technology officers, chief innovation officers, chief data officers, entrepreneurs-in-residence, and similar roles to promote new approaches to innovation. But because many innovations are rooted in the use of technology, agency Chief Information Officers (CIOs) can play a strong role as well. Furthermore, the new Federal Information Technology Acquisition Reform Act creates a statutory requirement for CIOs to help lead agency IT innovation efforts.

Weekly Roundup - March 23-27

The week ending March 27, 2026, brought a convergence of consequential developments spanning quantum strategy, AI infrastructure, defense modernization, and the impact of workforce disruption. On the technology front, a GAO report put the National Quantum Initiative's strategic gaps into sharp relief just as the Senate prepared for a reauthorization markup and President Trump's appointment of 13 technology titans to PCAST sent a clear signal about where the administration intends to anchor its emerging technology agenda.

Daniel Fonner

Daniel Fonner is the Associate Director for Research at SMU DataArts, the National Center for Arts Research at Southern Methodist University (SMU), as well as an adjunct lecturer in SMU’s Division of Corporate Communication and Public Affairs. Daniel’s teaching and research focus on data science for social good, employing artificial intelligence to improve public administration and support the arts and culture sector.

Irakli Petriashvili

Dr. Irakli Petriashvili is a Certified Public Sector Auditor committed to advancing the architectural foundations of financial oversight through technology. At the University of Georgia, he teaches public administration, public sector auditing, and financial fraud detection courses. He serves as a faculty affiliate with the Transparency and Governance Center in the School of Public Affairs and Administration at Rutgers University–Newark, and as a Governance and Integrity Anti-Corruption Evidence (GI ACE) Fellow at the UK Centre for the Study of

Enhanced Government Financial Oversight

Government financial oversight stands at an inflection point, enabled by artificial intelligence and other emerging technologies. As agencies manage increasingly complex digital financial systems, traditional audit methods—anchored in sampling, manual review, and documentation checks—can be supplemented by modern analytics approaches that help to address emerging risks to transparency, accountability, and public trust. Such strategies can more effectively safeguard taxpayer resources.

A Practical Guide for AI Use by Public Sector Leaders — and Why This Matters Now More Than Ever

Within five days, one million people had used it. Within two months, 100 million had. No technology in history had achieved such rapid adoption. And for those of us working in the federal, state, and local government space, the questions arrived just as fast: What is this? Should we allow it? How do we govern it? What does it mean for our workforce, our data, and the citizens we serve?

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