I am visiting Victoria University of Wellington's School of Government this week. During my visit, I will deliver a presentation on strategic management of information systems in the public sector. I will also meet with faculty and staff to learn more about the various academic and research programs with the School of Government and the Victoria Business School.
Heading to the University of Alaska Fairbanks today to deliver a talk at the Data to Decisions Visualization Workshop hosted by the NSF Sponsored Alaska EPSCoR (Experimental Program to Stimulate Competitive Research) program.
Beyond Modeling and Visualization: Towards Policy Design and Implementation
In this talk, I will highlight how technologies enable us to visualize policy options and simulate scenarios. Technologies, however, are no panacea when it comes to policy design and implementation. Deliberate decisions need to be made on how to structure the technology-enabled policy simulations to arrive at evidence-driven policy design, implementation, and evaluation.
Please click here for my slides.
I will be visiting the University of Florida later this week. The Bob Graham Center for Public Service is hosting my visit. I will deliver presentations to students across several Colleges including the Herbert Wertheim College of Engineering and the College of Journalism and Communications. In addition, I will meet with research leaders and faculty across the University.
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.
I am enjoying two weeks in Melbourne. I have been collaborating with colleagues from Deakin University and the University of Melbourne on research projects. On Tuesday, I will deliver a research seminar at the Faculty of Business and Law on IT Experiments for Social and Policy Innovation: A Design Science Perspective.
Information systems are critical assets that need to be strategically leveraged for social and policy innovation. In this presentation, I will highlight ongoing research projects showcasing how analytical, computational, and visualization technologies can be employed to solve some of the pressing global and public challenges from combating human trafficking to urbanization and sustainability. I will discuss these projects as learning experiments focusing on creating applied IT solutions while furthering evidence-driven policy design, implementation, and evaluation. Finally, a design-science inspired model to co-create innovative IT solutions will be presented.
On Wednesday, I will be spending the entire day meeting with researchers and faculty at the University of Melbourne.
My 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.
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.
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 Description: 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.
Data 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.
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 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.