Posts

Portland and Seattle – CIOs and Independent Sector

I will be participating in two events this coming week in the beautiful Pacific Northwest. First up is a visit to Portland to participate in a panel at the Premier CIO Forum. To read more about the panel, please visit: CIO Leadership: Preparing the Next Generation – Are We Doing Enough?

Panel Dpremiercio_logoescription: Listen and react to the views of a diverse panel of CIOs, educators, and not-for-profit directors on how well we are doing in preparing our next generation of IT leaders. We are spending a good deal of our IT professional development budgets on helping people stay current on their technical skills, but are we preparing them to become the leaders of tomorrow? We hear we are falling behind on inspiring our best and brightest students to go into the IT field--myth or fact? If fact, what can/should we be doing to change this pattern.\

I will then fly to Seattle for the Independent Sector conference. I will participate in a panel discussion with Beth Tuttle (President and CEO, Cultural Data Project) and Phil Buchanan (President, The Center for Effective Philanthropy) to explores how non-profits can leverage data for operational and strategic gains.

A Sea of Data: Sink or Swim?

nc2014-header2Data provides real opportunities to increase efficiency, decision making, and impact. But what if the numbers aren’t relevant? What if the stats are misleading? And what if the sheer amount of data is simply overwhelming such that an organization is swimming in data but unable to stay afloat? Don’t be data rich but information poor. Join us to discuss data sharing and monitoring, as well as the attendant issues of privacy and ethics in a world of big data. 

Big Data in Administration & Society

aasI have a paper accepted in Administration & Society, co-authored with my colleague, Benoy Jacob,  at the School of Public AffairsUniversity of Colorado Denver.

Big Data in the Public Sector: Lessons for Practitioners and Scholars

In this essay, we consider the role of Big Data analytics in the public sector.  Motivating our work is the recognition that Big Data is still in its infancy and many important questions regarding the true value of Big Data remain unanswered.  The question we consider is: what are the limits, or potential, of Big Data in the public sector?  By reviewing the literature and summarizing insights from a series of interviews from public sector CIOs, we offer a scholarly foundation for both practitioners and researchers interested in understanding Big Data in the public sector.

Big Data and Urban Informatics at UIC

logoILChicagoI am in Chicago to attend the NSF sponsored Workshop on Big Data and Urban Informatics. I will chair the Crisis and Emergency Informatics track and will present the following paper.

‘Big’ Data + ‘Open’ Data + ‘Mobile’ Data: Urban Informatics

I take the view of a city as a platform. As a platform, a city has infrastructure, processes, organizations, individuals, and technology as components. Additionally, cities are comprised of technical (e.g. sensors), social (e.g. humans), and socio-technical components (e.g. processes). The glue that holds these components together and enables integration and coordination to occur is data and information. The effective and efficient management of information is not only critical to ensure that each of the components operate optimally but also ensures that the overall system, the city, achieves its overall objectives. In this paper, I focus on three key data dimensions in the context of urban informatics: big, open, and mobile data. Key issues within each data dimension are presented. The paper builds on several research projects on smart cities, urban informatics, and policy informatics. Data collected during these projects includes over 45 case studies, over 60 interviews with key informants, analysis of over several thousand pages secondary data, and an examination of over 70 technology solutions that span mobile apps, online crowdsourcing platforms, sensors, analytical and visualization technologies, and associated urban technologies. The paper puts forth several considerations that need to be accounted for when discussing the potential of data and technologies to transform our urban spaces towards the goals of making them intelligent, livable, sustainable, and resilient.

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

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.

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.