Displaying 10 of 240 results for "George Ak Van Voorn" clear search
I am an environmental economist at UFZ - Helmholtz Centre for Environmental Research in Leipzig, Germany. I did my PhD (Dr. rer. pol.) in environmental economics at the Martin Luther University Halle-Wittenberg in 2017. Before that, I received my master’s (2013; economics) and bachelor’s degrees (2010; cultural studies) from the same university.
My research focus is on the economic analysis of agri-environmental policy instruments as means to navigate ecosystem service trade-offs in multifunctional landscapes. In this context, I am particularly interested in identifying policy instruments and instrument mixes allowing to align societal preferences with biophysical potential of landscapes to provide multiple ecosystem services. Here, the mutual relationship between regulatory and incentive-based instruments is of much interest. Using agent-based modelling, but also more qualitative approaches, I look at the emerging landscape-level patterns that result from various policy mixes given realistic descriptions of farmers’ behaviour and institutional settings.
My research is focused on understanding the importance of spatial and temporal environmental variability on communities and populations. The key question I aim to address is how the anthropogenic impacts, such as disturbances of individual animals or changed landscape heterogeneity associated with climate changes, influence the persistence of species. The harbour porpoise is an example of a species that is influenced by anthropogenic disturbances, and much of my research has focused on how the Danish porpoise populations are influenced by noise from offshore constructions. I use a wide range of modelling tools to assess the relative importance of different sources of environmental variation, including individual-based/agent based models, spatial statistics, and classical population models. This involves development of computer programs in R and NetLogo. In addition to my own research I currently supervise three PhD students and participate in the management of Department of Bioscience at Aarhus University.
RN [Mental Health & General], Community Mental Health Nurse (Cert.)
PG Cert. Ed
BA(Joint Hons.) Computing and Philosophy
PG(Dip.) Collaboration on Psychosocial Education [COPE]
MRES. e-Research and Technology Enhanced Learning
Nursing, Integrated, Person-Centred, Holistic (mental - physical) care.
Study and champion - “Hodges’ Health Career - Care Domains - Model” a generic conceptual framework for health and education.
‘Health career’ refers to ‘life chances’.
The care domains relate to academic subjects - knowledge and are:
SCIENCES
INTRA- INTERPERSONAL
SOCIOLOGY
POLITICAL
The blog below includes a bibliography and template link in the sidebar.
https://hodges-model.blogspot.com/
A new website remains an aspiration - using Drupal, Pharo..?
Developing ideas on Hodges’ model (not Wilfred btw) when viewed as a mathematical object, using category theory as a ‘non-mathematician’.
Work part-time still in the community in NW England.
Twitter - ‘X’ @h2cm
Anna Sikora is an Associate Professor in the Computer Architecture and Operating System Department at Autonomous University of Barcelona (UAB).
She got the BS degree in computer science in 1999 from Technical University of Wroclaw (Poland). She got the MSc in computer science in 2001 and in 2004 the PhD in computer science, both from Autonomous University of Barcelona (Spain).
Since 1999 her investigation is related to parallel and distributed computing. Her current main interests are focused on high performance parallel applications, performance models, automatic performance analysis and dynamic tuning. She has been involved in programming tools for automatic and dynamic performance tuning on cluster and Grid environments, as well as in exa-scale systems.
High performance parallel computing, parallel applications, performance models, automatic performance analysis, dynamic tuning. Performance tools for automatic and dynamic performance tuning on HPC systems. Agent-based modelling systems.
I am an agent-based modeller at the James Hutton Institute in Scotland. I specialise in large-scale modelling of social and socio-ecological systems, with a particular focus on simulating stressors and process that could give rise to transformational change. To date, my research has focused on food and agricultural systems, rural economies, and the WASH sector, with much of it informed by firsthand fieldwork in Africa, Asia, and Europe. I am also interested in leveraging open science, participatory research, quantitative ethnography, and grounded theory within modelling processes to collaboratively generate nuanced insights into individual behaviour and societal dynamics. I received the Open Science Award from the International Land Use Study Centre in 2023 for such work. I currently co-lead the European Social Simulation Association’s Special Interest Group on Modelling Transformative Change and I am the Associate Director of the Centre for Empirical Agent-Based Modelling at the James Hutton Institute.
Becky is a Research Associate at the Imperial Centre for Energy Policy and Technology (ICEPT). She investigates economic, social and technical aspects of energy policy in the UK and abroad.
Becky’s current research is focussed on transitions in the UK bioenergy system and on biofuels for aviation. She is involved with two major projects: Bioenergy Value Chains: Whole Systems Analysis and Optimisation, an EPSRC SUPERGEN Bioenergy Challenge Project; and Renewable Jet Fuel Supply Chain Development and Flight Operations (RENJET), a project for EIT Climate-KIC. Becky has also worked on projects for the UK Energy Research Centre – International Renewable Energy Agency (UKERC-IRENA) collaboration, investigating issues such as economic value creation, policy evaluation metrics, innovation theory and rural electrification. She is particularly interested in the role of renewable technologies for developing countries, having lived and worked in Mali and Senegal.
As a Master’s Thesis student, I am intended to apply Artificial Intelligence to an already existing model with the aim of making it more accurate.
Even though I do not have the focus point and the scope of the research clear yet, the road map is set to start from a very simple model to validate the technology and methodology used and then continue with more abitiuos projects.
I like the co-operation that I have found in this space and I think that I could both learn a lot from the community and add value with my novel trials and findings.
Of course I would be pleased to update the status of my project and I would try to help if I have the proper knowledge or different angle to other peers who seek for seconds opinions.
Thank you,
Francisco
My primary research interests lie at the intersection of two fields: evolutionary computation and multi-agent systems. I am specifically interested in how evolutionary search algorithms can be used to help people understand and analyze agent-based models of complex systems (e.g., flocking birds, traffic jams, or how information diffuses across social networks). My secondary research interests broadly span the areas of artificial life, multi-agent robotics, cognitive/learning science, design of multi-agent modeling environments. I enjoy interdisciplinary research, and in pursuit of the aforementioned topics, I have been involved in application areas from archeology to zoology, from linguistics to marketing, and from urban growth patterns to materials science. I am also very interested in creative approaches to computer science and complex systems education, and have published work on the use of multi-agent simulation as a vehicle for introducing students to computer science.
It is my philosophy that theoretical research should be inspired by real-world problems, and conversely, that theoretical results should inform and enhance practice in the field. Accordingly, I view tool building as a vital practice that is complementary to theoretical and methodological research. Throughout my own work I have contributed to the research community by developing several practical software tools, including BehaviorSearch (http://www.behaviorsearch.org/)
I obtained a PhD in database information theory from the University of the West of Scotland in 2015, and have been a researcher at the James Hutton Institute ever since. My areas of research are agent-based-modelling (ABM), data curation, effective use of infrastructure as a service (IaaS), and semantic information representation and extraction using formal structures such as computerised ontologies, relational databases and any other structured or semi-structured data representations. I primarily deal with social and agricultural models and was originally taken on in the role of knowledge engineer in order to create the ontology for the H2020 project, Green Lifestyles, Alternative Models and Upscaling Regional Sustainability (GLAMURS). Subsequent work, for the Scottish Government has involved the use of IaaS, more commonly referred to as the “cloud” to create rapidly deployable and cheap alternatives to in-house high-performance computing for both ABM and Geographical Information System models.
It is the mixture of skills and interests involving modelling, data organisation and computing infrastructure expertise that I believe will be highly apposite in the duties associated with being a member of the CoMSES executive. Moreover, prior to joining academia, I spent about 25 years as a developer in commercial IT, in the agricultural, entertainment and banking sectors, and feel that such practical experience can only benefit the CoMSES network.
S.R. Aurora, also known as Mai P. Trinh, is an Assistant Professor of Management at The University of Texas Rio Grande Valley. Her interdisciplinary work intersects leadership, complex systems science, education, technology, and inclusion. Her research harnesses technology to cultivate future leaders and helps people thrive in our volatile, uncertain, complex, and ambiguous (VUCA) high-tech world, aligning with four United Nations’ sustainable development goals: Quality education (#4), Gender equality (#5), Decent work and economic growth (#8), and Reduced inequalities (#10). She has published in top-tiered peer-reviewed journals such as The Leadership Quarterly and The Academy of Management Learning and Education and received multiple national and international awards for her research, teaching, and mentoring. Dr. Aurora earned her doctoral degree in Organizational Behavior from the Weatherhead School of Management at Case Western Reserve University in 2016.
Leader development, leading complex systems, agent-based modeling, experiential learning, innovations in online education
Displaying 10 of 240 results for "George Ak Van Voorn" clear search