Stanford Social Innovation Review – China’s New Model of Blockchain-Driven Philanthropy
/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
/0 Comments/in Articles, Information Technology, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin DesouzaJim 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
/0 Comments/in Articles, big data, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin DesouzaAs 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
/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 DesouzaAlong 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.
Università Bocconi – Another Wonderful Visit to Milano
/0 Comments/in big data, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology /by Kevin DesouzaI wrapped up another wonderful week at Università Bocconi co-teaching a class on Innovation and Big Data for the Public Sector with my colleague, Maria Cucineello.
Cyber Storm International Conference – Australian Defence Force Academy
/0 Comments/in Articles, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology, Speaking, Travel /by Kevin DesouzaI 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.
Plenary – PUBSIC Conference 2019, Milan, Italy
/0 Comments/in big data, Information Technology, innovation, Policy Informatics, Public Policy, Queensland University of Technology, Speaking, Travel /by Kevin DesouzaLooking forward to delivering a plenary talk at 2019 PUBSIC Conference in Milan, Italy on Jan 25, 2019.
ICMA 19 on 2019 – Smart Communities, Digitization, Autonomous Systems
/0 Comments/in Articles, big data, Information Technology, innovation, Policy Informatics, Queensland University of Technology /by Kevin DesouzaTo read more about my thoughts on smart communities, autonomous systems, and the future of our cities, please visit the ICMA 19 on 2019 book.