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.