Posts

Big Data Analytics and the US Social Security Administration, Information Polity

15701255Rashmi Krishnamurthy and I have a paper accepted for publication in Information Polity. The paper, Big Data Analytics: The Case of the Social Security Administrationis 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.

Herbert A. Simon Best Paper Award

desrist-logo-300x79Kena 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.

The paper, Data Analytics and Human Trafficking, highlights our efforts toward building IT solutions to combat human trafficking at the ASU Decision Theater

To read more about paper, please click here.

Press release: ASU College of Public Programs

Mobile App Development in Highly Regulated Industries Report Released

TSIMReporthe 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.

Executive Summary

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.

Keynote at the 3rd International Conference on Management and Organization

logo_engI will be delivering a keynote lecture at the 3rd International Conference on Management and Organization organized by the Slovenian Academy of Management. My talk, Ideas, Knowledge Management, and Innovation Walk into a Bar: An Incomplete Theory of Intrapreneurship, will draw on my book and recent work on designing challenges/competitions for innovation. I will also deliver a research talk at the Faculty of Economics, University of Ljubljana.

Stanford Social Innovation Research – Big Data

Summer_2014_Cover_small_170_223I co-authored an article on the role of big data for social innovation in the current issue of Stanford Social Innovation Research.

Nonprofits and other social change organizations are lagging their counterparts in the scientific and business communities in collecting and analyzing the vast amounts of data that are being generated by digital technology. Four steps need to be taken to improve the use of big data for social innovation.

This article builds on my provisos work that looked at big data opportunities and challenges in the public sector funded by the IBM Center for the Business of Government.

Big Data and Local Government

afiI will be leading a webinar for the Alliance for Innovation on Big Data and Local Government on April 29, 2014. I will be joined by Chris Kelly (Director of Information Technology for Olathe, KS) and Matthew Esquibel (IT Division Manager for Austin, TX).

You can read my report on Big Data here.

Smart Cities Financing Guide – Smart Cities Council

SmartCitiesFinancingIn 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.

Human Trafficking Solutions at DESRIST 2014 Conference

desrist-logo-300x79Kena 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.