Displaying 10 of 179 results for "Jonathan Marino" clear search
I have been studying (1) applied discrete choice modelling, (2) consumer choices of seafood, (3) international seafood trade, (4) marine habitat and fishery management, (5) China’s international relation, (6) environment and health, and (7) experimental auctions.
I’m starting to learn ABM and hope to apply the method into my research.
I am a researcher with the professional purpose of promoting sustainable citizen empowerment strategies to improve the living conditions of society. I analyze the complex relationships between natural resources and community.
Economics, Resources management, and Planification.
Developing Disease Modeling Software - MIcro Simulation Tool (MIST). The Reference Model for Disease Progression is my main effort.
I study human dimensions of natural resource management and resource use by under-represented populations—often in developing nations—to enhance our understanding of conflicts involving land use, natural resources, and conservation from an interdisciplinary, systematic lens. My research spans subjects such as common pool resource management and policy, decentralization, and land use/land cover change drivers and trends relating to population rise and environmental change.
Paul Hart BSc (Liverpool), BA (Open University), PhD (Liverpool), MAE, FLS, FMBA. From 1973-1976 I worked on the Continuous Plankton Recorder (CPR) survey at the Oceanographic Laboratory, Edinburgh. From 1973 – 1976 I was employed by Nordreco AB (a Nestlé R & D company) in Sweden as a fishery biologist where he advised the Findus group on fish raw material supplies and assessed the future potential of aquaculture. In 1976 I moved to the University of Leicester as a lecturer in aquatic biology. My research focused on the foraging behaviour of fish with a side interest in marine commercial fisheries. I retired as Professor and Head of the Department of Biology and am now an Emeritus Professor. I was a Trustee of the Sir Alister Hardy Foundation for Ocean Science, which ran the Continuous Plankton Recorder Survey until it was merged with the Marine Biological Association: I then became a Trustee of the MBA. From 2010 – 2016 I was a member of the Science Advisory Board of Marine Scotland. I am co-author of Fisheries Ecology (1982) and co-editor of the two-volume Handbook of Fish Biology and Fisheries (2002). I was a co-editor of the journal Fish and Fisheries (Wiley) between 2000 and 2021.
IBMs of fisheries exploring management options and consequences of social behaviour.
I have been working in the software implementation of different kinds of complex networks inspired in real-life populations. My software may be classified on several categories: complex networks, Aedes aegypti development, dengue epidemics, cultural behavior of populations. I am also researching in education of Deaf people in Colombia.
I am a researcher in data science for sustainability, working at the intersection of society, politics, economy, and the environment. My work integrates statistics, artificial intelligence, and complex systems approaches to generate robust, data-driven evidence that supports decision-making in complex socio-environmental contexts.
My research focuses on understanding and modeling socio-ecological systems, with the goal of improving sustainability outcomes through interdisciplinary analysis and innovative analytical tools.
My research interests are organized around four main areas:
🌱 Socio-ecological systems dynamics
I study the interactions between human societies and ecosystems, with particular attention to the social, economic, and political processes that shape these dynamics.
💚 Nature’s values
I explore the diverse ways in which people value nature and work on integrating these perspectives into decision-making processes and public policy design.
🦋 Biodiversity management and conservation
I apply computer vision, statistical modeling, and spatial analysis to species classification and monitoring, generating evidence to support biodiversity management and conservation strategies.
🏛️ Governance and public policy
I analyze policy integration and coherence using quantitative and data-driven methods, aiming to improve policy design, implementation, and decision-making processes.
Overall, my research seeks to integrate interdisciplinary approaches to strengthen sustainability, generating knowledge and innovative tools based on data science and artificial intelligence that support both public policy development and the management and conservation of socio-ecological systems.
My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.
Guido Fioretti, born 1964, graduated in Electronic Engineering in 1991 at La Sapienza University, Rome. In 1995, he received a PhD in Economics from this same university. Guido Fioretti is currently a lecturer of Organization Science at the University of Bologna.
I am interested in combining social with cognitive sciences in order to model decision-making facing uncertainty. I am particularly interested in connectionist models of individual and organizational decision-making.
I may make use of agent-based models, statistical network analysis, neural networks, evidence theory, cognitive maps as well as qualitative research, with no preference for any particular method. I dislike theoretical equilibrium models and empirical research based on testing obvious hypotheses.
Mario Ureta holds a BSc in Economics from Birkbeck, University of London, a Graduate Diploma in Data Science from the London School of Economics, and an MSc in Data Science and Analytics from Brunel University London. He is currently a PhD student in Computing Science at Birkbeck, University of London. His research focuses on the economic study of individual preferences and decision-making, and on the use of agent-based models as a bridge between economic theory and computational experimentation. Through economic simulation, his work examines how heterogeneous preferences, social interaction, and firm behaviour jointly shape aggregate market outcomes, including non-linear dynamics and tipping points.
My research interests centre on the study of individual preferences in economics and on understanding how preferences evolve through interaction, learning, and social context. I am particularly interested in how seemingly weak or latent preferences—such as attitudes toward environmental attributes, prices, or social norms—can become amplified through feedback mechanisms and generate non-linear aggregate outcomes. A core methodological focus of my work is the use of agent-based modelling and economic simulation as a bridge between economic theory and experimentation. By treating agent-based models as computational laboratories, I explore how heterogeneous preferences, habit formation, peer influence, and firm behaviour interact dynamically, allowing theoretical mechanisms to be tested, stress-tested, and compared under controlled but flexible conditions that are difficult to achieve using purely analytical or empirical approaches.
Displaying 10 of 179 results for "Jonathan Marino" clear search