Displaying 10 of 76 results for "Andrew Yoak" clear search
Dr. Andreu Moreno Vendrell got the BS degree in Telecommunications Engineering in 1995 and the PhD in Telecommunications Engineering in 2000, both from Universitat Politècnica de Catalunya (Spain). Since 2005 his research is related to parallel and distributed computing. His main interests are focused on high performance parallel applications, automatic performance analysis and dynamic tuning, and agent based simulation systems. He has been involved in the definition of performance models for automatic and dynamic performance tuning and in the development of a new benchmark for agent based frameworks. He is lecturer at the Escola Universitària Salesiana de Sarrià, associated college of Universitat Autònoma de Barcelona. He is IEEE member.
Agent-based systems
The Ph.D. research project is mainly focused on the study of the influence of emotional intelligence inside decision-making processes and on the social and emotional aspects of organizations.Furthermore, the research has taken into account the generative science paradigm: in this way, the general aim is the development of social simulations able to account organizational processes related with emotions and with the emotional intelligence from the bottom-up.
I am strongly interested in ecological modeling and complex system and truly enjoyed working with a variety of tools to uncover patterns in empirical data and explore their ecological and evolutionary consequences. My primary research is to conduct research in the field of ‘ecological complexity’, including the development of appropriate descriptive measure to quantify the structural, spatial and temporal complexity of ecosystem and the identification of the mechanism that generate this complexity, through modeling and field studies.
Currently investigated is how biological characteristics of invasive species (dispersal strategies and demographic processes) interact with abiotic variables and resource distribution to determine establishment success and spread in a complex heterogeneous environment (Individual based modelling integrated with GIS technologies).
Dr. Lilian Alessa, University of Idaho President’s Professor of Resilient Landscapes in the Landscape Architecture program, is also Co-Director of the University of Idaho Center for Resilient Communities. She conducts extensive research on human adaptation to environmental change through resilient design at landscape scales. Much of her work is funded by the National Science Foundation, including projects awarded the Arctic Observing Network, Intersections of Food, Energy and Water Systems (INFEWS) and the Dynamics of Coupled Natural Human Systems programs. Canadian-born and raised, Alessa received her degrees from the University of British Columbia. She also uses her expertise in social-ecological and technological systems science to develop ways to improve domestic resource security for community well-being, particularly through the incorporation of place-based knowledge. Her work through the Department of Homeland Security’s Center of Excellence, the Arctic Domain Awareness Center, involves developing social-technological methods to monitor and respond to critical environmental changes. Lil is a member of the National Science Foundation’s Advisory Committee for Environmental Research and Education and is on the Science, Technology and Education Advisory Committee for the National Ecological Observing Network (NEON). Professor Alessa also teaches a university landscape architecture capstone course: Resilient Landscapes with Professor Andrew Kliskey. Professor Alessa’s collaborative grant activity with Professor Andrew Kliskey, since coming to the university in 2013, exceeds 7 million USD to date. She has authored over a 100 publications and reports and has led the development of 2 federal climate resilience toolbox assessments, the Arctic Water Resources Vulnerability Index (AWRVI) and the Arctic Adaptation Exchange Portal (AAEP).
Gary Polhill did a degree in Artificial Intelligence and a PhD in Neural Networks before spending 18 months in industry as a professional programmer. Since 1997 he has been working at the Institute on agent-based modelling of human-natural systems, and has worked on various international and interdisciplinary projects using agent-based modelling to study agricultural systems, lifestyles, and transitions to more sustainable ways of living. In 2016, he was elected President of the European Social Simulation Association, and was The James Hutton Institute’s 2017 Science Challenge Leader on Developing Technical and Social Innovations that Support Sustainable and Resilient Communities.
Senior (Tenure-Track) Assistant Professor in Work and Organizational Psychology (WOP) at the Human Sciences Department of Verona University. My expertise lies in organizational behavior, individual differences and decision-making at work, and social dynamics in the applied psychology field. In the field of fundamental research my studies explore the role of individual antecedents (e.g., Personality traits, Risk attitudes, etc.) in relation to classic I/O models (e.g., Job Demands-Resources model, Effort-Reward model, etc.). My applied research focuses on the development of interventions and policies for enhancing decision-making, and in turn well-being and job performance. Finally, in industrial research, my research aims to better integrate cognitive and behavioral theories (e.g., Theory of Planned Behavior, Prospect theory, etc.) for designing predictive models – based on agents – of social and organizational behaviors.
My research interests stand between natural resource management and ecological economics. The aim of my PhD project responds to the increasing demand for cross-disciplinary agent-based models that examine the disjunction between economic growth and more sustainable use of natural resources.
My research attempts to test the effectiveness of different governance and economic frameworks on managing natural resources sustainably at both regional and national levels. The goal is to simulate how communities and institutions manage the commons in complex socio-ecological systems through several case-studies, e.g. rainforest management in Australia. It is hoped that the models will highlight which combination of variables lead to positive trends in both economic and environmental indicators, which could stimulate more sustainable practices by governments, private sectors and civil society.
I am a computational social scientist, engineer, and systems researcher. I work in several aspects of modelling the dynamics of organisational, economic and social systems. I am interested in the link between micro-level rules, structural interdependence and macro-level outcomes in a variety of settings (e.g., organisational dynamics, industry evolution, competitive spatial location, agricultural markets). I am also interested in the use of computational models for better policy design (policy modelling).
I am Colombian with passion for social impact. I believe that change starts at the individual, community, local and then global level. I have set my goal in making a better experience to whatever challenges I encounter and monetary systems and governance models is what concerns me at the time.
In my path to understanding and reflecting about these issues I have found my way through “Reflexive Modeling”. Models are just limited abstractions of reality and is part of our job as researchers to dig in the stories behind our models and learn to engage in a dialogue between both worlds.
Technology empowers us to act locally, autonomously and in decentralized ways and my research objective is to, in a global context, find ways to govern, communicate and scale the impact of alternative monetary models. This with a special focus on achieving a more inclusive and community owned financial system.
As a Ph.D. fellow for the Agenda 2030 Graduate School, I expect to identify challenges and conflicting elements in the sustainability agenda, contribute with new perspectives, and create solutions for the challenges ahead
After being the economic development officer for the Little/Salmon Carmacks First Nation, Tim used all his spare time trying to determine a practical understanding of the events he witnessed. This led him to complexity, specifically human emergent behaviour and the evolutionary prerequisites present in human society. These prerequisites predicted many of the apparently immutable ‘modern problems’ in society. First, he tried disseminating the knowledge in popular book form, but that failed – three times. He decided to obtain PhD to make his ‘voice’ louder. He chose sociology, poorly as it turns out as he was told his research had ‘no academic value whatsoever’. After being forced out of University, he taught himself agent-based modelling to demonstrate his ideas and published his first peer-reviewed paper without affiliation while working as a warehouse labourer. Subsequently, he managed to interest Steve Keen in his ideas and his second attempt at a PhD succeeded. His most recent work involves understanding the basic forces generated by trade in a complex system. He is most interested in how the empirically present evolutionary prerequisites impact market patterns.
Economics, society, complexity, systems, ecosystem, thermodynamics, agent-based modelling, emergent behaviour, evolution.
Displaying 10 of 76 results for "Andrew Yoak" clear search