Kendra Smith and I wrote a piece for Government Technology on Intrapreneurship. Public agencies need to build a capacity for intrapreneurship. Intrapreneurs invent new practices, programs, and solutions to address problems and opportunities faced by an organization. These individuals are passionate about the organizations they work for and do not just accept the status quo. They bootstrap and bootleg, they might be viewed as radical (or guerilla) by their peers, and they want to move their organizations ahead. To read more, please click here.
Rashmi Krishnamurthy and I have a paper accepted for publication in Information Polity. The paper, Big Data Analytics: The Case of the Social Security Administration, is one of the many case studies conducted during my research for my report on Big Data, published by the IBM Center for the Business of Government.
Public agencies are investing significant resources in big data analytics to mine valuable information, predict future outcomes, and make data-driven decisions. In order to foster a strong understanding of the opportunities and challenges associated with the adoption of big data analytics in the public sphere, we analyze various efforts undertaken by the United States Social Security Administration (SSA). The SSA, which is commonly referred to as the “face of the government,” collects, manages, and curates large volumes of data to provide Social Security services to US citizens and beneficiaries living abroad. The agency has made great strides in the burgeoning big data space to improve administration and delivery of services. This has included: (1) improving its arcane legacy system, (2) developing employee and end-user capability, (3) implementing data management strategies and organizational architecture, (4) managing security and privacy issues, and (5) advocating for increased investment in big data analytics. Despite these efforts, the SSA is still in the early stages of developing capability in the domain of big data analytics. By outlining challenges and opportunities facing the SSA, we discuss policy implications and explore issues to consider when public agencies begin to develop the capacity to analyze big data.
The paper is scheduled to appear later this year, in Vol. 19, Issue 3.
Kena Fedorschak, Srivatsav Kandala, Rashmi Krishnamurthy, and I won the Herbert A. Simon Best Paper Award at the Ninth International Conference on Design Science Research in Information Systems and Technology.
To read more about paper, please click here.
Press release: ASU College of Public Programs
Kena Fedorschak, Srivatsav Kandala, Rashmi Krishnamurthy, and I have a paper accepted at the Ninth International Conference on Design Science Research in Information Systems and Technology. The paper, Data Analytics and Human Trafficking, highlights our efforts toward building IT solutions to combat human trafficking at the ASU Decision Theater.
Human trafficking is recognized internationally as an extreme form of violence against women, children, and men. Despite the fact that human trafficking is universally understood to be a burgeoning social problem, a paucity of data and insight into this issue exists. Data analytics has immense potential to elucidate trends in complex social data and inform future policy. We undertook a design science-inspired research approach to build datasets on human trafficking. Three prototypes are presented that describe the methodologies of human traffickers, display correlations between calls reporting suspected trafficking activity and various demographic data, and explicate the effectiveness of US anti-trafficking funding projects.
I will be speaking on Big Data at the Technological Innovation in Government: Toward Open and Smart Government Symposium organized by the Section for Science & Technology in Government of the American Society for Public Administration. Other speakers at the event include Jane Fountain (UMass), Elizabeth Bruce (MIT), Chris Osgood (Office of New Urban Mechanics, City of Boston), and Bill Oates (CIO, Commonwealth of Massachusetts), among others. For more information on the event, please click here.
Federal CIOs must do a better job of creating and using metrics if IT is to earn the respect it deserves as a value generator instead of a money drain. To read more, please click here.
Realizing the Promise of Big Data: Implementing Big Data Projects was published today by the IBM Center for the Business of Government.
Big data is a new frontier for the public sector. It has captured the attention of public managers across the globe. Agencies realize that their datasets represent critical resources that need to be managed and leveraged. Public sector use of big data and big data analytics is wide-ranging; some organizations have no experience with big data, while others have taken on small to moderate-sized projects. Drawing on interviews with chief information officers (CIOs) from every level of government (federal, state, and local), this report presents implementation steps grouped by the phases of a big data project:
In the next few years, nearly all public agencies will grapple with how to integrate their disparate data sources, build analytical capacities, and move toward a data-driven decision-making environment. Big data is increasing in importance for public agencies, and big data programs are expected to become more prominent in the near future. Through the use of big data, analytics now holds great promise for increasing the efficiency of operations, mitigating risks, and increasing citizen engagement and public value.
This is my second report published by the IBM Center for the Business of Government. To read my previous report on Challenge.Gov: Using Competitions and Awards to Spur Innovation, please click here.
Implementing Open Innovation in the Public Sector:
The Case of Challenge.Gov
As part of the Open Government Initiative (OGI), the Obama administration has called for new forms of collaboration with stakeholders to increase innovativeness of public service delivery. Federal managers can utilize Challenge.gov to crowdsource solutions from previously untapped problem solvers and leverage collective intelligence to tackle complex social and technical public management problems. We highlight the work conducted by the Office of Citizen Services and Innovative Technologies at the General Services Administration (GSA), the administrator of the Challenge.gov platform. Specifically, we feature the work of Tammi Marcoullier, Program Manager, Challenge.gov, and Karen Trebon Deputy Program Manager for Challenge.gov, and their role as change agents mediating collaborative practices between policy makers and public agencies in navigating the political and legal challenges within their local agencies. We provide insights into the implementation process of crowdsourcing solutions for public management problems as well as lessons learned designing open innovation processes in the public sector.
I will be delivering a plenary address at the 2013 Western Intergovernmental Audit Forum. The meeting will take place at the Tempe Mission Palms Hotel in Arizona, Sept 12-13, 2013. My talk titled, Emerging Technologies and the Future of Governance, will explore how technological innovations are changing how we design, implement, and manage, our governance mechanisms and public institutions.