Big Data and Planning: PAS Report Published by American Planning Association

The American Planning Association has released a report that I co-authored with Kendra L. Smith.

Big Data and Planning

Data sets are growing so large and complex that using them is like drinking from a fire hose. Feeling overwhelmed? Help is on the way.

Big data isn’t the problem; it’s the solution — and this PAS Report shows how to use it. Arizona State University researchers Kevin C. Desouza and Kendra L. Smith have teamed up on a practical guide to channeling the power of big data. Together they look at how planners around the world are turning big data into real answers for smart cities.

Learn how Dublin is gearing up geospatial data to steer traffic. See how Singapore is collecting citizens’ selfies to track smog. Discover how Detroit is crowdsourcing creative ideas for its 50-year plan. And find out how the U.S. government is planning to use Yelp to improve its services.

What’s the big idea for your community? Read Big Data and Planning for a look at trends and tools you can tap into today.

Page Count: 104
Date Published: Dec. 5, 2016
ISBN: 978-1-61190-188-7

Realizing the Promise of Cognitive Computing Systems

I am launching a new project in the area of Cognitive Computing Systems. Below is a brief description of the effort. You can read a recent post that I did for Brookings here. If you are interested in collaborating on this project, please contact me.

Project Description

Every major technology player is investing serious financial and human capital into the development of Cognitive Computing Systems (CCSs). CCSs leverage artificial intelligence and machine intelligence techniques to build systems that can 1) learn from interactions, 2) analyze large datasets in an effective and efficient manner, and 3) increase the of precision of outcomes overtime through continuous process of analyzing and learning from data. Put more simply, CCSs are inspired by the potential to mimic how the human brain acquires, analyzes, and employs data to make decisions. Research and development efforts and emerging prototypes point to the fact that CCSs have significant potential to cause major disruptions in all facets of the public sector. In addition, if one considers CCSs along with other emerging technologies (e.g. autonomous vehicles or fully connected machine-to-machine networks), the magnitude of disruption is potentially greater. Public agencies need to take a more proactive approach towards 1) understanding the nature of CCSs, 2) appreciating their potential to enable agencies to increase performance and optimize resource allocations, and 3) charting pathways towards adopting, experimenting with, and implementing these systems. This project will focus on providing public managers with actionable insights on the above-mentioned three issues.

Today, CCSs are being designed to support human decision-makers by providing them evidence-based solutions through analyzing large quantities of data within a domain. In an ideal world, according to technology enthusiasts, these systems should be able to make decisions on their own, thereby removing some of the traditional concerns with human decision-makers (e.g. prejudice, errors, etc.). CCSs will also be networked with other such systems so as to conduct transactions without human intervention. While there is no doubting that the sophistication of these systems will increase over time and their costs will decrease making them affordable, serious public policy and management considerations must be addressed to fully leverage their potential. Our project will focus on studying how public agencies can take a proactive approach to preparing themselves for CCSs. We will not only study the technical and organizational issues associated with CCSs, but take a close look at the social and public policy issues.

Our research methodology will take a multi-prong approach. First, we will document lessons learned from several of our ongoing projects that include elements of CSSs (e.g. machine learning algorithms, data mining, sensor-networks, etc.). Second, we will collect case studies on various CSSs projects in the public sector. We will seek to collect cases beyond the US, and will also look at CSSs projects at various scales. Through the analysis of these cases we will seek to uncover issues and challenges associated with implanting CCSs. In addition, these cases will enable us to tease apart various common themes that various stakeholders within the CCSs face as they conceive of, launch, and manage these projects. Third, we will leverage our vast network of public sector CIOs, technology enthusiasts, futurists, and innovators to conduct in-depth interviews on CCSs in the public sphere. Our interviews will focus on technical, organizational, policy, and social dimensions of CCSs and their role in 1) transforming public agencies, 2) innovating policy design, implantation, and evaluation, and 3) the nature of data, analytics, and systems as a public good.

Funding

The IBM Center for the Business of Government has generously provided support for the first report from this project.

Facebook and the 2016 US Elections

Over the last few months, I have been working with my research team on several papers that examine how the 2016 US Elections are playing out on Facebook. We have several research notes on our project published on Brookings Institution TechTank Blog.

We also have a paper accepted at the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Social networking sites (SNS), such as Facebook and Twitter, are important spaces for political engagement. SNS have become common elements in political participation, campaigns, and elections. However, little is known about the dynamics between candidate posts and commentator sentiment in response to those posts on SNS. This study enriches computational political science by studying the 2016 U.S. elections and how candidates and commentators engage on Facebook. This paper also examines how online activity might be connected to offline activity and vice versa. We extracted 9,700 Facebook posts by five presidential candidates (Hillary Clinton, Donald Trump, Bernie Sanders, Ted Cruz, and John Kasich) from their official Facebook pages and 12,050,595 comments on those posts. We employed topic modeling, sentiment analysis, and trends detection using wavelet transforms to discover topics, trends, and reactions. Our findings suggest that Republican candidates are more likely to share information on controversial events that have taken place during the election cycle, while Democratic candidates focus on social policy issues. As expected, commentators on Republican candidate pages express negative sentiments toward current public policies as they seldom support decisions made by the Obama administration, while commentators on democratic candidate pages are more likely to express support for continuation or advancement of existing policies. However, the significance (strong/weak) and nature (positive/negative) of sentiments varied between candidates within political parties based on perceived credibility of the candidate’s degree of credibility on a given issue. Additionally, we explored correlation between online trends of comments/sentiment and offline events. When analyzing the trend patterns, we found that changes in online trends are driven by three factors: 1) popular post, 2) offline debates, and 3) candidates dropping out of the race.

Research Team: Saud Alashri, Srinivasa Srivatsav Kandala, Vikash Bajaj, Roopek Ravi, Anish Pradhan, and Kendra L. Smith

 

2016 Technology Forum – Ottawa County, Michigan

OC_Tech_Forum_LogoWill be heading to Michigan later this month to keynote the 2016 Technology Forum.

Realizing the Promise of (Open, Mobile, and Big) Data and Technologies for Local Governments

How can we harness data towards innovative local governance that advances our communities? Today, we have all heard about open data, mobile data, and even big (and very big) data. We have also seen 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, I 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, we have undermined its potential due to an under-appreciation of governance and policy nuances. Do not despair! I will outline a series of actionable steps that can be undertaken to rectify this deficiency. Specifically, I will focus on how can we create data-driven development labs to tackle some of our most vexing social and policy challenges.

WHEN: Friday, April 29, 2016, 8:30am-4:00pm
WHERE: Ottawa County Fillmore Complex, West Olive, MI (Map). Enter parking lot B, forum is in main conference room of the County Administration building, second floor, west wing.

IÉSEG School of Management – March 5-13

IESEGLooking forward to returning to IÉSEG School of Management in March to collaborate with colleagues and deliver two research presentations. Thanks to Isabelle Fagnot for organizing the visit.

Governing Mega-Scale IT Projects: The Global Public Sector Experience 

Information Technology (IT) projects are commonplace in the public sector. National, regional, and local governments continue to invest substantial resources into designing, developing, and maintaining information systems. The scale, scope, and potential impacts of IT projects continue to increase. Today, it is typical to find mega-scale IT projects in the public sector. Unfortunately, these projects seldom play out as planned. Mega-scale IT projects often fail to meet expectations, and when they fail, they do so magnificently. In this presentation, I will share lessons learned from a study of six mega-scale IT projects in the public sector. I will specifically call out governance issues associated with contracting, consultants, financing, human resources, leadership, and project management. [Flyer]

Designing Research Programs: Processes, Outputs, and Outcomes

I believe that research needs to be conducted in a manner that advances the greater public good, especially in fields that are of an applied nature (business, engineering, public policy, etc.). Research done with the sole intention of producing a journal article or conference paper is not good enough. Academia has a special responsibility to generate knowledge that advances society. In this talk, I will offer personal reflections on how to structure research programs to maximize several goals. First, to ensure the efficiency and effectiveness of the research process. Second, to maximize the potential that research outputs will be accepted by scholarly and practitioner communities. Third, to work with stakeholders to leverage the knowledge that is generated, to advance societal outcomes. I will share examples from a wide assortment of projects to elaborate on how scholars can build agile, responsive, and responsible research projects that have relevance beyond the ivory tower. I will pay particular attention to global research projects that are interdisciplinary in nature. In addition to sharing lessons about what works, I will openly share some of the trials and tribulations that I have encountered along the way. [Flyer]

Victoria University of Wellington – School of Government

VictoriaI 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.

University of Alaska Fairbanks – Data to Decisions Workshop

Workshop-flyer-3Heading 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.

University of Florida and Bob Graham Center for Public Service

UFL 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

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.

Deakin University – Research Seminar

Deakin_Worldly_LogoI 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.