Reports
The field of public administration has contributed significant insights that have informed practice, research, and teaching for many years.
Artificial intelligence has great potential to improve how the federal government works.
Across government, agencies face constant and often expanding levels of complexity in delivering on their mission objectives.
The Federal Financial Management community has made significant progress in improving the cost, quality, and performance of its systems.
In 2014, an unprecedented outbreak of Ebola virus in Liberia, Sierra Leone, and Guinea shined a spotlight on global capacity to deal effectively with a fastmoving epidemic that crossed international borders.
This report explains how public organizations can combine big data and thick data to transform public services delivery—a strategy called mixed analytics.
This report is intended to help leaders of large, complex organizations learn from State-based experiences in measuring performance in pursuit of better results. It is a first-person account based on the author’s experiences over the past 10 years in several different state agencies.
Assessing the Impact of Artificial Intelligence on the Work of Government
by Anne Laurent
Wednesday, February 20, 2019
The federal government spends about $500 billion a year on goods and services. More than half of this amount is for goods and services common across federal agencies, such as training, overnight delivery services, copier machines, and travel services. However, these common items are often purchased individually by more than 3,300 buying offices and over 40,000 contracting officers. As a result, the federal government does not leverage its buying power as a large customer, and vendors are constantly bidding on redundant work.
Delivering results on key national challenges inevitably involve multiple stakeholders and delivery partners, whether it involves the environment, transportation, healthcare, or social services. These are areas where systems are decentralized and the target population is diffuse. Coordination across policy areas like these has never been easy – or so important.