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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.

Talks in Norway – BI, Norwegian Univ. of Science and Technology, and SINTEF

Starting on Thursday, I will be visiting Norway to give several invited lectures. My first stop will be at the BI Norwegian Business School in Oslo. I will be delivering my talk to the Leadership and Organizational Behaviour group.

imagesDisastrous Large-Scale Technology Projects in the Public Sector: Unpacking Complexity
I will examine what accounts for ‘complexity’ when we consider large-scale technology projects in the public sector. There are several examples of such projects from the IRS Business Systems Modernization to the Seattle Monorail Project and, most recently, healthcare.gov. Complexity could arise from the ‘public’ nature of these efforts. Issues to be considered include: the ability to manage expectations of a diverse stakeholder population, the lack of capabilities when it comes to IT management and governance, the fact that these projects are laden with a higher-level of risk from the start as the efforts have a higher degree of innovativeness, setting up of false expectations, escalation of commitments, etc. The paper develops a series of propositions based on data drawn from cases of large-scale technology projects that have turned out to be disasters. A theoretical model is put forth for consideration.

ntnuI will then head up to Trondheim, where I will deliver a talk to the Norwegian University of Science and Technology. The talk titled, Data Governance versus Big Computation: Tortoise and the Hare, draws on my current work on big data and analytics for the public good.

Over the last few years, we have certainly seen a flurry of activity around big data. Widespread efforts by a number of academic communities – including computer science, engineering, mathematics, and statistics - have led to advancements in how we capture, store, analyze, visualize, and apply big data. Unfortunately, these advancements have not kept up with innovations in data governance. Deficiencies in data governance limit our ability to truly take advantage of computational advances. In this talk, I will highlight challenges and opportunities in data governance in the context of big data. I will draw on illustrative examples from my work in big data in the public sector and from tackling social challenges (e.g. countering human trafficking).

sintefDuring my visit to Trondheim, I will also spend time with researchers at SINTEF, the largest independent research organization in
Scandinavia, discussing issues of knowledge management and process improvement in the context of software engineering systems and organizations.

Mobile App Development in Highly Regulated Industries Report Released

TSIMReporthe Advanced Practices Council of the Society for Information Management has just published my report, Mobile App Development in Highly Regulated Industries: Risks, Rewards and Recipes. I co-authored the report with my former graduate student, Paul Simons, who serves as the CEO of iHear Network.

Executive Summary

Mobile computing has the potential to be as disruptive to the status quo as the Internet in the 1990s or the Model T in the early 20th century. A driving force behind mobile computing is the adoption of mobile apps, which increase revenues through new and refined business models, greater brand awareness and customer loyalty, and tools that increase employee productivity. However, not all organizations that launch mobile apps end up with successful products. The rewards may be lucrative, but there are risks of entering the marketplace with new products. In highly regulated industries, the risks are compounded by additional constraints for developing mobile software related to protecting and communicating information. Firms in such industries must implement comprehensive security solutions that go beyond standard industry regulatory systems. Since regulations always lag behind technological advancement, organizations must anticipate how their actions might trigger future legislative responses and the impacts on users’ expectations of privacy and trust. Another risk that stems from rapid growth of mobile software is the reduced barrier to entry for emerging companies, especially from startups that circumnavigate existing regulations on the use of mobile technology.

Due to the rapidly changing nature of mobile apps, design thinking has emerged as a methodology to help guide an organization through the process of developing mobile apps. Traditional linear modes of development are not sufficient or flexible enough to keep up with innovation in mobile hardware, software, and mobile operating systems. Design thinking has grown beyond just a methodology for developing software products and experiences to a means of developing business strategy. This non-linear mode of strategy development is better suited for mobile strategy because it provides greater insight into the needs and desires of end users, fosters innovative and creative solutions, and provides greater flexibility to adapt to the changing circumstances caused by disruptive forces of the mobile revolution. This enables the Chief Information Officer (CIO) to provide greater leadership in exploiting internal and external opportunities. This report provides a number of recommendations to CIOs in mobile app development.

Keynote at the 3rd International Conference on Management and Organization

logo_engI will be delivering a keynote lecture at the 3rd International Conference on Management and Organization organized by the Slovenian Academy of Management. My talk, Ideas, Knowledge Management, and Innovation Walk into a Bar: An Incomplete Theory of Intrapreneurship, will draw on my book and recent work on designing challenges/competitions for innovation. I will also deliver a research talk at the Faculty of Economics, University of Ljubljana.

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.

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.

Big Data goes to Germany and Slovenia

fis tumI will be giving two talks this week on my Big Data report. The first presentation will take place at the Fakultät für InformatikTechnische Universität München on March 12 (See here for more details). I will then fly to Slovenia to give a talk at the Faculty of Information Studies in Slovenia on March 14.