Kevin C. Desouza | Queensland University of Technology

Cities Are Surprisingly Fragile – Scientific American

June 25, 2019/0 Comments/in big data, China Institute for Urban Governance, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin Desouza

Stanford Social Innovation Review – China’s New Model of Blockchain-Driven Philanthropy

May 24, 2019/0 Comments/in Articles, big data, Information Technology, innovation, philanthropy, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin Desouza

My co-authored article with Xiaofeng Wang was chosen as the cover story for the current issue of Stanford Social Innovation Review. Please click here for the article.

Best Paper – Information Systems Division – ASAC 2019

May 6, 2019/0 Comments/in Articles, Information Technology, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin Desouza

Jim Denford (Royal Military College, Canada), Greg Dawson (Arizona State University) and I were pleased to see that our paper was the best paper for the Information Systems division at the Administrative Sciences Association of Canada 2019 Conference.

AI and India – Brookings #TechTank

April 22, 2019/0 Comments/in Articles, big data, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin Desouza

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 – Journal of Cleaner Production

April 17, 2019/0 Comments/in big data, China Institute for Urban Governance, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology, Shanghai Jiao Tong University, Speaking, Travel /by Kevin Desouza

Along with colleagues Wenting Yang and Bo Fan, at Shanghai Jiao Tong University, I have a paper accepted at Journal of Cleaner Production.

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.