Posts

Creating a Balanced Portfolio of Information Technology Metrics

DesouzaCoverMetricsMy new report published by the IBM Center for the Business of Government is now available.

Creating a Balanced Portfolio of Information Technology Metrics

Information technology has made possible the availability of real-time data and the tools to display that data, such as dashboards, scorecards, and heat maps. This has boosted the use of data and evidence by government decision makers in meeting their agency and program missions. But what about the use of performance metrics by agency chief information officers themselves?

Typically, CIOs have a good inventory of metrics regarding the performance of their technical infrastructure, such as server down time. Metrics on non-technical elements, however — such as innovation capacity of the IT department and the health of the overall IT organization — are in earlier stages of development. These metrics are critical for CIOs to effectively manage their IT departments, and to convey the strategic value of IT capabilities for attaining agency-wide objectives.

A balanced portfolio of metrics are needed: for project management, for operations management, and for innovation. Based on interviews with over two dozen seasoned government CIOs, the report identifies illustrative metrics that CIOs might consider adopting and offers a set of recommendation for how CIOs might go about designing, implementing, and evaluating the effectiveness of their metrics initiatives.

Dashboards, More Cybersecurity, Citizen Disengagement, and …

It has been a busy few weeks, so here are some research updates:

Federal Agencies and Cybersecurity – RT USA, Federal News Radio, Brookings

TechTankMy recent post on US federal agencies cybersecurity preparedness on the Brookings Institution's TechTank blog has gotten a lot of attention. Jason Miller hosted me on his show, Ask the CIO, on Federal News Radio. Here is a link to the story and the interview.

RTYesterday, Kena Fedorschak and I were interviewed by Manila Chan on RT America to discuss hacking, cybersecurity, and technology security. Click here to see a segment of the show.

 

 

Big Data for Social Innovation Makes SSIR Top 10 List for 2014

Summer_2014_Cover_small_170_223Big Data for Social Innovation published in Stanford Social Innovation Review made the 2014 top ten list at #5.

Authors Kevin Desouza and Kendra Smith suggest that nonprofits are falling behind scientific and business communities in using digital technology, and offer four steps to improve how social change organizations use big data for innovation.

Universidad de Chile – Centro de Sistemas Públicos

Picture1I will be delivering a presentation at the Centro de Sistemas Públicos, Universidad de Chile on October 3, 2014. My talk will be part of the day long event, INNOVACIÓN PÚBLICA: MUCHO RUIDO ¿Y LAS NUECES?, organized by the Industrial Engineering department and CEPAL. My remarks will focus on how should we go about building a capacity for intrapreneurship in the public sector. Click here to view the complete program. For more details on my intrapreneurship work, see my book and one of my recent articles.

 

 

University of Jyväskylä – Opponent for PhD Dissertation

jyu-logo-hdpiI am looking forward to my upcoming trip to Finland (Sept 25-29). I will be visiting the University of Jyväskylä to serve as an opponent for Henri Pirkkalainen's dissertation defense, Globally distributed Knowledge Sharing in Social Software Environments: Barriers and Interventions. Click here to read more details on the event. The event will be broadcasted live [webcast].

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.