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

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.

Speaking at Technological Innovation in Government: Toward Open and Smart Government Symposium

SSTIG-Logo3-300x214I 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.

IBM Center for the Business of Government Grant – Big Data and Public Agencies

For a second year in a row, I have been fortunate to receive a grant from the IBM Center for the Business of Government.

Project: Building Analytical Capabilities for Big Data in the Public Sector: From Paralysis to Analysis

The goal of this project is to arrive at an actionable framework for federal agencies to navigate the 'big' data management challenge. We will interview Chief Information Officers (CIOs) who are leading 'big' data projects at federal, state, and local agencies to understand the challenges they face and their attempts to navigate opportunities provided by 'big' and 'open' data. We will administer a survey to measures technical, processes, people, and organizational factors that impact an agency's readiness and experience with big data management. An actionable framework will be developed that outlines how public agencies should proceed to create a roadmap towards devising analytical capabilities for big data management.

To learn more about my prior project on Challenge.gov, please click here.