I will be giving two talks this week on my Big Data report. The first presentation will take place at the Fakultät für Informatik, Technische 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.
Belarus authorities’ counter-revolutionary tactics related to information and communication technologies in 2001-2010: lessons learned
Information and communication technology (ICT)-enabled revolutionary tactics play an important role in uprisings against non-democratic regimes worldwide. Up to now, a critical understanding of how authorities in those countries employ ICT-based counter-revolutionary measures has been missing. In this paper we examine the evolution of ICT-based counterrevolutionary tactics employed by one of the most ingrained authoritarian regimes—that of Belarus—through the last decade (2001-2010). The political opposition’s responses to the authorities’ countermeasures are also investigated, followed by an analysis of the co-evolution of these opponents’ ICT-related tactics. We suggest that use of ICT (by both sides) was not among the main factors leading to Belarus’ failed colour revolution. Rather, factors such as miscalculations on the side of the opposition; effective preemption by authorities; collaboration with foreign regimes by the authorities; and harsh physically oppressive measures by the authorities played the main part. Based on these conclusions, implications for the general theoretical framework of political cyberprotest in the former USSR are discussed. Finally, practical suggestions for the improvement of dissenters’ use of ICT during major political cyberprotest are provided.
Realizing the Promise of Big Data: Implementing Big Data Projects was published today by the IBM Center for the Business of Government.
Big data is a new frontier for the public sector. It has captured the attention of public managers across the globe. Agencies realize that their datasets represent critical resources that need to be managed and leveraged. Public sector use of big data and big data analytics is wide-ranging; some organizations have no experience with big data, while others have taken on small to moderate-sized projects. Drawing on interviews with chief information officers (CIOs) from every level of government (federal, state, and local), this report presents implementation steps grouped by the phases of a big data project:
In the next few years, nearly all public agencies will grapple with how to integrate their disparate data sources, build analytical capacities, and move toward a data-driven decision-making environment. Big data is increasing in importance for public agencies, and big data programs are expected to become more prominent in the near future. Through the use of big data, analytics now holds great promise for increasing the efficiency of operations, mitigating risks, and increasing citizen engagement and public value.
This is my second report published by the IBM Center for the Business of Government. To read my previous report on Challenge.Gov: Using Competitions and Awards to Spur Innovation, please click here.
Hybrid Challenge Platforms to Promote Innovation
To be practical and sustainable tools for innovation, the coming generation of community-engagement and crowd-sourcing platforms need to improve the user experience of participants, while simultaneously providing a reliable mechanism for synthesizing participants' contributions into usable problem-solving outputs. In the present project, a multi-disciplinary research team will explore how community participation spreads, the effects of feedback on participation, and the changes in community and collaboration structure over time. Empirically, the project lays out three research questions: 1) characteristics of participatory government platforms, 2) behavioral and system challenges over time, and 3) the impact of managerial and design interventions on individual behaviors and network structure.
The specific platform for this research is "10,000 Solutions", a many-to-many system managed by Arizona State University that empowers both individuals and organizations to host and participate in solutions, challenges, and collective actions. The research team will study participation in "10,000 Solutions" across online, physical, and hybrid environments, particularly focusing on participant community building, trajectories of participation, and output usability. A diverse slate of experiments, with the application of the application of agent-based modeling and network analysis, will provide useful insights for theory development on community engagement and participation, as well as generating best-practice guidelines for participatory design, operation, assessment and implementation.
Future advances in economic growth and national security require new technologies for harnessing the wisdom of crowds and the power of public innovation. However, these technologies are still in their infancy, and there is a growing need for robust and flexible platforms that can move beyond exploratory efforts, toward real-world deployment. The project will develop evidence-based policies and practices to improve collaboration while increasing perceptions of accountability, legitimacy and individual satisfaction, the effectiveness of the work outputs and the adoption and use of the products developed by the community and through the platform. Knowing the conditions that increase and sustain collective action will help in devising policies and practices for building platforms to enhance participation in government and non-government organizations.
NSF Award [Link]
For a second year in a row, I have been fortunate to receive a grant from the IBM Center for the Business of Government.
Project: Building Analytical Capabilities for Big Data in the Public Sector: From Paralysis to Analysis
The goal of this project is to arrive at an actionable framework for federal agencies to navigate the 'big' data management challenge. We will interview Chief Information Officers (CIOs) who are leading 'big' data projects at federal, state, and local agencies to understand the challenges they face and their attempts to navigate opportunities provided by 'big' and 'open' data. We will administer a survey to measures technical, processes, people, and organizational factors that impact an agency's readiness and experience with big data management. An actionable framework will be developed that outlines how public agencies should proceed to create a roadmap towards devising analytical capabilities for big data management.
To learn more about my prior project on Challenge.gov, please click here.
Arizona State University (ASU) is a core member of the Alliance for Innovation (AFI), and houses the administrative offices of the AFI at the College of Public Programs. The AFI brings together leading city and county managers who have an appetite for innovation. It serves as a platform for local governments who are passionate about nurturing an innovative culture and building better communities throughout the US and Canada. The Alliance maintains a loyal membership of approximately 400 local governments who employ more than 9,000 employees who take advantage of AFI on-line and in-person services. It hosts two annual conferences every year – Transforming Local government (TLG) which features case studies of the most innovative programs introduced in member governments and the BIG Ideas event where a select group of 100 “thought leaders” come together in a provocative venue to explore emerging issues facing local communities. It operates with another strategic partner, the International City County Manager Association (ICMA), the on-line Knowledge Network which currently has more than 35,000 local government users that provide content, create groups of interest and query one another about best practices. AFI also has a robust learning program through regular webinars and regional workshops. The AFI network can be mobilized to test out innovations that arise from the research, provide seek feedback on research outcomes, and even in the securing of complementary resources. The AFI will also serve as a valuable conduit for disseminating the findings from the research project.