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.
The Advanced Practices Council of the Society for Information Management has just published my report, Mobile App Development in Highly Regulated Industries: Risks, Rewards and Recipes. I co-authored the report with my former graduate student, Paul Simons, who serves as the CEO of iHear Network.
Mobile computing has the potential to be as disruptive to the status quo as the Internet in the 1990s or the Model T in the early 20th century. A driving force behind mobile computing is the adoption of mobile apps, which increase revenues through new and refined business models, greater brand awareness and customer loyalty, and tools that increase employee productivity. However, not all organizations that launch mobile apps end up with successful products. The rewards may be lucrative, but there are risks of entering the marketplace with new products. In highly regulated industries, the risks are compounded by additional constraints for developing mobile software related to protecting and communicating information. Firms in such industries must implement comprehensive security solutions that go beyond standard industry regulatory systems. Since regulations always lag behind technological advancement, organizations must anticipate how their actions might trigger future legislative responses and the impacts on users’ expectations of privacy and trust. Another risk that stems from rapid growth of mobile software is the reduced barrier to entry for emerging companies, especially from startups that circumnavigate existing regulations on the use of mobile technology.
Due to the rapidly changing nature of mobile apps, design thinking has emerged as a methodology to help guide an organization through the process of developing mobile apps. Traditional linear modes of development are not sufficient or flexible enough to keep up with innovation in mobile hardware, software, and mobile operating systems. Design thinking has grown beyond just a methodology for developing software products and experiences to a means of developing business strategy. This non-linear mode of strategy development is better suited for mobile strategy because it provides greater insight into the needs and desires of end users, fosters innovative and creative solutions, and provides greater flexibility to adapt to the changing circumstances caused by disruptive forces of the mobile revolution. This enables the Chief Information Officer (CIO) to provide greater leadership in exploiting internal and external opportunities. This report provides a number of recommendations to CIOs in mobile app development.
In collaboration with my colleagues, David Swindell, Jonathan GS Koppell, and Kendra L. Smith, I authored the Smart Cities Financing Guide for the Smart Cities Council. This guide highlights 28 of the most promising financial tools — including alternatives to the traditional funding mechanisms municipalities have used for decades. It also includes:
- Detailed analyses of each option based on 10 characteristics to help decision makers easily identify the best tools for specific types of projects.
- Examples of how these tools are being used today.
The press release can be found here [LINK].
To access the guide, please click here [LINK]
About the Smart Cities Council
The Smart Cities Council is the trusted advisor to equip cities with tools and knowledge to cope with expanding populations, shrinking budgets and aging infrastructure. It is comprised of the world's foremost smart city practitioners advised by unbiased, independent experts, including top universities, national laboratories, standards bodies, climate advocacy groups and development banks. The Council’s goal is to accelerate the growth of smart cities worldwide by providing city leaders with best practices and vendor-neutral guidance on technology, finance, policy and, citizen engagement. For more information, view a brief introductory video about the Smart Cities Council.
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 giving two talks this week on my Big Data report. The first presentation will take place at the Fakultät für Informatik, Technische Universität München on March 12 (See here for more details). I will then fly to Slovenia to give a talk at the Faculty of Information Studies in Slovenia on March 14.
I recently authored an article for Planetizen.
Unless you have been hibernating, you have heard about urbanization trends and have spent time reflecting on what this might hold for the future of communities, cities, nations, and the planet as a whole. The world’s total urban area is expected to triple between 2000 and 2030—urban populations are set to double to around 4.9 billion in the same period. The number of megacities is expected to double over the next decade, and many of these growing cities are far from resilient. The solution: frugal engineering and local knowledge. Read more