As artificial intelligence technologies take over larger number of tasks, India will face unique impacts of automation relative to other countries. With its large and young population, advances in AI will affect India in aspects from jobs to quality of life. Incidentally, the Indian economy is currently ill-equipped to face the advent of automation and AI. To read more...
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.
I will be delivering a plenary talk at the Cyber Storm International Conference on Weaponizing Information Systems for Political Disruption.
Click here to see the meeting agenda.
Looking forward to delivering a plenary talk at 2019 PUBSIC Conference in Milan, Italy on Jan 25, 2019.
To read more about my thoughts on smart communities, autonomous systems, and the future of our cities, please visit the ICMA 19 on 2019 book.
Date: January 14, 2019
Shaping the Future of Autonomous Systems in Society
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.
Mitigating Urban Heat: Developing a Climate Smart Toolkit for Liveable, Sustainable Precincts to Address Environmental Monitoring and Better Building Design
Urban heat islands (UHI) are a major contributor to increasing global warming, which are metropolitan areas that are significantly warmer than their surrounding rural areas. Land temperatures in densely developed city centres can be as much as 10 degrees Celsius higher than the surrounding forested landscape. Besides increased energy needs, UHI effects urge urban planners to reconsider the design and energy assessments of buildings in urban areas due to the storage and release of heat energy. Increasing temperatures also contribute to serious health issues, e.g., through the transmission of infectious diseases, which diminishes the liveability in UHI areas.
We propose to study the mechanisms of UHI and the impact of mitigation strategies on the built environment taking a data-centric approach. We will design a toolkit for the development process using the Northshore Hamilton precinct as our testbed . The toolkit, a Climate Smart Precinct in a Box, will be transferable across multiple precincts and adaptable to local conditions in each precinct. Our goal is to build a scalable model that leverages open source technology, the Internet of Things (IoT), smart sensing environments, data sharing models, and advanced analytics to address the issue of urban heat for more liveable and sustainable communities. To achieve this, we follow a methodology that is divided into two parts, technology and people, and has five components: data collection, data analysis, develop insights, design patterns, and impact.
Methodology to develop a Climate Smart Precinct in a Box
First, we plan to collect sensor data to measure different types of data such as temperature, solar radiation, humidity, and wind speed velocity, which will be realized through the implementation of LoRaWAN-enabled environmental monitoring systems provided by Meshed , an IoT technology provider. Second, we will integrate and analyse data using UrbanPulse, an IoT analytics platform provided by [ui!] . We will employ an open standards approach to design an advanced data visualisation interface. Third, we will develop actionable insights through workshops, focus groups, and interviews with key stakeholders. Fourth, we will leverage the insights in other locations and develop a policy informatics framework through an abstraction of the insights and a development of design patterns. This will help to reiterate the process and share design knowledge. Finally, we will be able to measure and evaluate the impact of the Climate Smart Precinct in a Box as it pertains to reducing UHI effects effectively and efficiently.