Technologies in Public Agencies and in PA Research: Three Mini-Cases of Use-Inspired Research

I will be giving a talk at the School of Public AffairsCollege of Public ProgramsArizona State University on Feb 14, 2011 @ 10.30-12.

Technologies in Public Agencies and in Public Administration Research: Three Mini-Cases of Use-Inspired Research

Emerging technologies are transforming public agencies and the nature of governance. Public Agencies have long recognized the value of information technologies for achieving their missions, streamlining operations, and communicating with the public. Yet, the track record of public sector information systems (IS) projects - system acquisitions, design and deployment - has been sub-par. I contend that one possible reason is their dual personality. They are both (a) public sector projects and (b) IS projects. Contemporary research on public sector IS projects often emphasizes the former but not the latter, often relegating technology to a “black box.” I will argue that this posture is not only unacceptable but also dangerous. Public administration researchers cannot simply relegate the study of technologies to other disciplines. Today, several factors require us to change our stance on the role of technologies in public agencies and in public administration research, including the amount of taxpayer money that is spent on technologies, the democratizing of technology, and the rise of open data programs. Toward this end, in this presentation, I will briefly present three mini-cases of user-inspired research. The first case will highlight the use of sentiment analysis of secondary data on the IRS Business Systems Modernization. Extracting stakeholder Sentiments and Confidence from documents, with a view to exploring how such measures may offer early indications of project progress and assist managers to prevent undesirable future outcomes. The second case will highlight how innovative public managers are leading the way in deploying technology sophistically for superior citizen engagement. The US Census Bureau used technologies not only to complete the 2010 census under budget, but also deployed them innovatively to engage citizens through the design of viable participatory platforms. The Census Bureau also effectively managed risks associated with using emerging technologies. The 2010 Census campaign focused on increasing response rates and encouraging citizen participation through innovations in the communication process with citizens and the infusion of technology. The third case will describe an ongoing project that seeks to understand the motivations of government agencies, software developers, and the public on the creation and use of (mobile) apps for urban governance.

Keynote Address at the 2010 Computational Social Science Society Conference: From Hunches to Evidence Driven Policy Design

I will be giving a keynote address at the 2010 Computational Social Science Society Conference (CSSS). CSSS 2010 is hosted by the Center for Social Dynamics and Complexity and the Consortium for Biosocial Complex Systems at. For more information on the conference, please click here [LINK].

From Hunches to Evidence Driven Policy Design: Leveraging Information through Simulation

Constructing public policy, whether at the national or local level, is a complex undertaking. Complexity arises from the number of stakeholders involved, varying agendas and incentives, resource constraints, a multitude of interacting variables, multiple time horizons, and even political climates. Due to these complexities, we too often categorize political and social problems as ‘wicked’ and unanalyzable. The default option is to take a haphazard approach to policy design, most often the outcome of the ego-based debates and negotiations of the decision-makers. In this keynote address, I will argue for a move from hunches (or intuition) to evidence driven policy construction. Today, due to the advancement of computational power and modeling techniques, we can simulate complex scenarios. Simulation gives us an ability to move policy construction from an activity primarily driven by historic case analysis and intuitions, to more of an applied science, where we can actually predict and control phenomenon. Through simulation we can, with reasonable certainty, ascertain the cost, benefit, risk, impact, and value proposition of a given policy. Using examples from simulation projects, such as a project that examined strategic options for dismantling terrorist networks, I will demonstrate how we can move policy design from being an ‘art’ to more of a ‘science.’