Looking forward to my visit to Florianópolis, Brazil. I will deliver a masterclass on governance and innovation in smart cities as part of a Council on Australia Latin America Relations (COALAR) grant funded by the Department of Foreign Affairs and Trade, Australia at the KCWS2019: SUSTENTABILIDADE E INOVAÇÃO NA ERA DO CONHECIMENTO.
I will present findings from my research on fragile cities at the 2019 Annual ICMA Conference. This research was funded by ICMA as part of my research fellowship. Michael Hunter collaborated with me on this research project.
Resiliency, cybersecurity, and creating more sustainable places are all topics being discussed by local government practitioners and scholars. Could it be that as local governments are increasing reliance on technology that they are becoming more fragile in the absence of considering some of the socio-economic consequences? Join this roundtable to offer your thoughts and opinions.
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I am heading to Beijing today to attend 2019 International Symposium on Budget Performance Management: National Governance and Comprehensive Budget Performance Management in the New Era hosted by the China Development Research Foundation. I will present a paper co-authored with M. Zhang, Evolving from Performance Management to Proactive Governance: The Opportunity and Gaps.
I am spending the next two weeks in Brazil visiting colleagues and developing research partnerships. I will deliver two research seminars:
Shaping the Future of Autonomous Systems in Society: Research with Impact
Emerging technologies are fundamentally impacting and transforming all aspects of our society. I am particularly concerned with how technological innovations impact 1) the design of our public institutions, 2) the apparatuses through which we shape, implement, and evaluate public policies, and 3) our governance frameworks for public goods. All indications suggest that we are moving toward a world where autonomous systems will dictate how we interface and interact with other agents and objects in our society. We can take advantage of emerging technologies to make our societies more livable, just, resilient, and sustainable. To realize this future, we need active and sustained engagement by scholars across a myriad of disciplines, especially public policy and management.
Public policy and governance scholars have largely been absent when it comes to engineering efforts related to the design and deployment of autonomous systems and policy debates that will shape their impact on our society. In this talk, I will outline why we need active engagement by public policy and management scholars during phases of autonomous systems development and implementation. Examples will be drawn from over a dozen research engagements that have studied emerging technologies in the public sector, from predictive analytic systems to blockchain, social media platforms, and machine learning algorithms. I will outline key governance dilemmas and policy challenges confronting public agencies as they try to keep up with the rapid pace of technological innovations.
Studying complex phenomena requires us to undertake research that 1) draws on multiple disciplines, 2) engages a diverse group of stakeholders, 3) appreciates a plurality of research approaches, and 4) generates actionable solutions. Executing inter-disciplinary research is no easy feat to accomplish. Researchers face daunting challenges from the onset; beginning with the inception of ideas, continuing to the crafting of problem statements, executing the research process, and then communicating the results via publications in academic and practitioner outlets. However, these challenges should not be viewed as an excuse to abandon inter-disciplinary research in favor of narrowly focused research exercises. Opportunities for use-inspired research will be discussed. In addition, I will present a working model for executing inter-disciplinary research that has served me well. I will openly share some of the trials and tribulations that I have encountered along the way.
Spatial-Temporal Effect of Household Solid Waste on Illegal Dumping
Illegal dumping is an increasingly costly problem with profoundly negative consequences for the livability and sustainability of our communities. The problem of illegal dumping is particularly acute in the developing world. While the literature is rich in descriptive studies on illegal dumping, few studies leverage large-scale spatial-temporal data through innovative analytical tools to study the actual dynamics of household illegal waste dumping. Our study aims to fill this gap by developing a multilevel theoretical model with which to illustrate the impact of illegal dumping. We explore the spatial-temporal distribution of illegal dumping cases using data mining. Next, we integrate datasets reflecting different levels into a hierarchical data structure organized by membership function. We then use a hierarchical generalized linear model to validate our multilevel model. The results indicate that the spatial factors have a significant relationship with illegal dumping, whereas the direct influence of temporal and community-level factors on illegal dumping is insignificant. Furthermore, the moderating effect of management level and public order on the relationship between spatial features and illegal dumping is significant. Based on our results, we offer several suggestions for preventing illegal dumping.