USAID – Frontiers in Development

fid_banner I will be speaking at USAID's Frontiers in Development Conference. My presentation will take place  in a new session sponsored by the U.S. Global Development Lab, the Innovation Marketplace. The event engages a broad audience with a focus on “the idea that science, technology, innovation and partnership can accelerate development impact and end extreme poverty by 2030.”

Realizing the Promise of Open Data and Technologies for Global Development

How can we harness data towards the goal of eradicating extreme poverty by 2030? Today, we have all heard about open data. Open data movements, which share data about localities (cities, towns, villages, etc.) and public institutions (agencies), are spurring up all across the globe. Agencies are making data available to the public about all facets of a governance, public services, and management of public goods. In addition, agencies are liberating data that were traditionally locked up within administrative systems. The overriding goal here is to increase transparency, thereby increasing trust in government while also enabling more collaborative and participatory governance. Open data programs have given a rise in civic hackathons, competitions, and challenges that engage innovators to solve complex problems and promote the use of data analytics for global development. In this presentation, we will use a wide assortment of cases to illustrate a key point, i.e., while we have made great strides in leveraging technology and data for global development, we have undermined its potential due to an under-appreciation of governance and policy nuances. Do not despair! We will outline a series of actionable steps that can be undertaken to rectify this deficiency. Specifically, we will focus on how to create data-driven development labs to tackle some of our most vexing global challenge such as the eradication of extreme poverty.

My colleague, David Swindell, will also be presenting at the event. His presentation will highlight our collaborative work on designing financial models to underwrite investments in smart infrastructures. See here for our report.

See here for the draft program agenda.

See here for the ASU press release on the event.

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.