Displaying 10 of 174 results for "Jonathan Marino" clear search
Lisa Frazier Member since: Thu, Oct 08, 2015 at 12:21 PM
My research interests include policy informatics and decision making, modeling in policy analysis and management decisions, public health management and policy, and the role of public value in policy development. I am particularly interested in less mainstream approaches to modeling that account for learning, feedback, and other systems dynamics. I include Bayesian inference, agent-based models, and behavioral assumptions in both my research and teaching.
In my dissertation research, I conceptualize state Medicaid programs as complex adaptive systems characterized by diverse actors, behaviors, relationships, and objectives. These systems reproduce themselves through both strategic and emergent mechanisms of program management. I focus on the mechanism by which citizens are sorted into or out of the system: program enrollment. Using Bayesian regression and agent-based models, I explore the role of administrative practices (such as presumptive eligibility and longer continuous eligibility periods) in increasing enrollment of eligible citizens into Medicaid programs.
Gunnar Dressler Member since: Mon, Feb 22, 2016 at 10:32 PM Full Member
- since April 2017: PostDoc at the Department of Ecological Modeling, Helmholtz Centre for Environmental Research - UFZ
- since January 2015: Member of the Junior Research Group POLISES - Global food security policies and their social-ecological side effects in regions prone to global change.
- 2012-2017 PhD student at the Department of Ecological Modeling, Helmholtz Centre for Environmental Research - UFZ
- 2006-2011 Diploma in Biomathematics, Ernst-Moritz-Arndt-University of Greifswald
- Dynamics of socio-ecological resource use systems
- Pasture use in dryland grazing systems under change, effects of new technologies and policy instruments, emergence of polarization between pastoralists (e.g. in terms of livestock numbers).
- Thresholds of disaster management performance under change, loss of manpower, the role of information as critical resource.
- Human decision making in agent-based models.
- Remote sensing and GIS.
Kristin Crouse Member since: Sun, Jun 05, 2016 at 08:13 AM Full Member Reviewer
I am a Postdoctoral Associate in the Ecology, Evolution and Behavior department at the University of Minnesota. My research involves using agent-based models combined with lab and field research to test a broad range of hypotheses in biology. I am currently developing an agent-based model of animal cell systems to investigate the epigenetic mechanisms that influence cell behavior. For my PhD work, I created a model, B3GET, which simulates the evolution of virtual primates to better understand the relationships between growth and development, life history and reproductive strategies, mating strategies, foraging strategies, and how ecological factors drive these relationships. I have also conducted fieldwork to inform the modeled behavior of these virtual organisms. Here I am pictured with an adult male gelada in Ethiopia!
I specialize in creating agent-based models of biological systems for research and education in genetics, evolution, demography, ecology, and behavior.
Francisco Rodes Member since: Wed, Jan 31, 2018 at 12:52 PM
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
Bartosz Bartkowski Member since: Tue, Sep 25, 2018 at 07:20 AM
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.
Enver Miguel Oruro Puma Member since: Tue, Mar 23, 2010 at 11:09 PM Full Member
http://learnmem.cshlp.org/content/27/1.cover-expansion
(Cover simulation using NetLogo, January 2020)
Enver Miguel Oruro, Grace V.E. Pardo, Aldo B. Lucion, Maria Elisa Calcagnotto and Marco A. P. Idiart. Maturation of pyramidal cells in anterior piriform cortex may be sufficient to explain the end of early olfactory learning in rats. Learn. Mem. 2020. 27: 20-32 © 2020 Oruro et al.; Published by Cold Spring Harbor Laboratory Press
http://learnmem.cshlp.org/content/27/12.cover-expansion
(paper using NetLogo, December 2020)
Enver Miguel Oruro, Grace V.E. Pardo, Aldo B. Lucion, Maria Elisa Calcagnotto and Marco A. P. Idiart. The maturational characteristics of the GABA input in the anterior piriform cortex may also contribute to the rapid learning of the maternal odor during the sensitive period Learn. Mem. 2020. 27: 493-502 © 2020 Oruro et al.; Published by Cold Spring Harbor Laboratory Press
Enver Oruro, BA Psych. PhD(s).
Computational Psychologist
envermiguel@gmail.com
https://br.linkedin.com/in/enveroruro
Neurocomputational and Language Processing Laboratory, Institute of Physics/ UFRGS
Neurophysiology and Neurochemistry of Neuronal Excitability and Synaptic Plasticity Laboratory, Department of Biochemistry/ UFRGS
Meeting Organization
2009 First Meeting on Complex Systems -Neuroscience and Behavior Laboratory, School of Medicine UPCH Lima
2010 Second Meeting on Complex Systems - College of Psychologists of Peru / Colegio de Psicólogos del Perú (CPsP) Lima
2012 3rd Meeting on Complex Systems – Computational Social Psychology, /Neuroscience and Behavior Laboratory, School of Medicine UPCH Lima February 2012 https://www.comses.net/events/185/
http://www.neurocienciaperu.org/home/3ra-reunion-de-sistemas-complejos-psicologia-social-computacional
2012 4th Meeting on Complex Systems – Cognotecnology and Cognitive Science, Neuroscience and Behavior Laboratory, School of Medicine UPCH Lima July 2012 https://www.comses.net/events/212/
2014 5th Meeting on Complex Systems – Complexity Roadmap. The Imperial City of the Incas, Cusco, April. https://www.comses.net/events/312/
2015 Chair of “e-session on Neuroscience and Behavior” UNESCO UniTwin CS-DC’15
2015 Chair of “e-session on Social Psychology” UNESCO UniTwin CS-DC’15
CS-DC’15 (Complex Systems Digital Campus ’15 – World e-Conference) is organizing the e-satellites of CCS’15, the international Conference on Complex Systems. It is devoted to all scientists involved in the transdisciplinary challenges of complex systems, crossing theoretical questions with experimental observations of multi-level dynamics. CCS’15 is organized by the brand new ASU-SFI Center for Biosocial Complex Systems. Arizona State University, (USA) from Sept 28 to Oct 2, 2015, in close collaboration with the Complex Systems Society and the Santa Fe Institute. from http://cs-dc-15.org/
2018 Seminar in “Mother-Infant Attachment and Supercomputing”, NY. USA and Porto Alegre, Brazil, August 09. https://www.comses.net/events/499/
2019 Seminar in Experimental and Computational Studies on Mother-Infant Relationship October 8 and 15, 2019 ICBS, /Determine the neural pathways by which the nervous system of the neonates establish attachment with their mothers is a problem that has motivated hypothesis and experiments at several scale levels, from neurotransmission to ethological level. UFRGS, Porto Alegre, Brazil. https://www.comses.net/events/549/
2020 Seminar in Maternal Infant Relationship Studies: Neuroscience and Artificial Intelligence March 7 and 9
Goals 1. Discuss a Roadmap for mother-Infant relationship research in the framework of the UNESCO Complex System Digital Campus project. https://www.comses.net/events/570/ https://sites.google.com/view/envermiguel/seminar-in-maternal-infant-relationship-studies?read_current=1
https://drive.google.com/file/d/1-FVQXBXy4RLKIQA-RBx3KFLJxyBsnyCW/view?usp=sharing
Linea de investigacion: Estrategias de modelamiento en Psicobiologia y Psicologia Social
/ Linea estrategica 1: bases biologicas de la cognicion social desde sistemas complejos
Peer-Olaf Siebers Member since: Fri, Feb 15, 2019 at 04:20 PM Full Member
I am an Assistant Professor at the School of Computer Science, University of Nottingham, UK.
My main research interest is the application of computer simulation to study human-centric complex adaptive systems. I am a strong advocate of Object Oriented Agent-Based Social Simulation. This is a novel and highly interdisciplinary research field, involving disciplines like Social Science, Economics, Psychology, Operations Research, Geography, and Computer Science. My current research focusses on Urban Sustainability and I am a co-investigator in several related projects and a member of the university’s “Sustainable and Resilient Cities” Research Priority Area management team.
Marco Janssen Member since: Thu, May 10, 2007 at 12:56 AM Full Member Reviewer
I am a Professor in the School of Sustainability and the Director of the Center for Behavior, Institutions and the Environment. I want to understand how people solve collective problems at different levels of scale, especially those problems related to sustainability of our environment. Our society experience unprecedented challenged to sustain common resource for future generations at a scale we have never experienced before. What makes groups cooperate? What is the role of information? How does the ecological context affect the social fabric? How do they deal with a changing environment? How can we use these insight to address global challenges? To do this research I combine behavioral experiments, agent-based modeling and case study analysis.
MV Eitzel Solera Member since: Sun, May 21, 2017 at 09:14 PM Full Member Reviewer
As a data scientist, I employ a variety of ecoinformatic tools to understand and improve the sustainability of complex social-ecological systems. I also apply Science and Technology Studies lenses to my modeling processes in order to see potential ways to make social-ecological system management more just. I prefer to work collaboratively with communities on modeling: teaching mapping and modeling skills, collaboratively building data representations and models, and analyzing and synthesizing community-held data as appropriate. At the same time, I look for ways to create space for qualitative and other forms of knowledge to reside alongside quantitative analysis, using mixed and integrative methods.
Recent projects include: 1) Studying Californian forest dynamics using Bayesian statistical models and object-based image analysis (datasets included forest inventories and historical aerial photographs); 2) Indigenous mapping and community-based modeling of agro-pastoral systems in rural Zimbabwe (methods included GPS/GIS, agent-based modeling and social network analysis); 3) Supporting Tribal science and environmental management on the Klamath River in California using historical aerial image analysis of land use/land cover change and social networks analysis of water quality management processes; 4) Bayesian statistical modeling of community-collected data on human uses of Marine Protected Areas in California.
Eduardo César Member since: Fri, Nov 08, 2024 at 08:14 AM Full Member Reviewer
As of my incorporation into the Department of Computer Architecture and Operating Systems of the UAB as a postgraduate student, it is possible to divide my scientific-technical career into the following stages:
Simulation of Parallel Applications (1992-99): Focused on the design and development of simulators of parallel applications. This research main objective was the definition of abstractions for parallel programs, based on characterizing tasks and their dependences. Two main abstractions were developed, at first a simpler one, which was easier to parametrize, and, next, a more complex an accurate one. Using these characterizations, several simulation tools were programmed and used in the context of national and European projects. As part of my Master’s thesis, I was involved in the design and development of some of these simulation applications.
National projects: 4, European: 2
International conferences: 3, National: 1, Journal papers: 3
Security in Distributed Systems (2007-12): Focused on the design and development of the FPVA (First Principles Vulnerability Assessment) methodology for the evaluation of vulnerabilities in Grid applications. This methodology clearly defined a set of steps for the assessment of Grid applications vulnerabilities, most of these steps could be automatized or at least supported by specific tools. Jointly with other professors of our group and from the University of Wisconsin, I was involved in the original definition and application of this methodology.
International projects: 2
Master Thesis: 1, Ph.D. Thesis: 1
International conferences: 2, National: 1, Journal papers: 2
Parallel Application Modeling (1999-present): This is my main line of research, aimed at defining high-level performance models for parallel applications. Initially, models were defined for MPI applications with a master-worker and pipeline structure, but later this line has been expanded with the definition of models for memory-intensive OpenMP applications, composed (mix of several structures) applications, applications based on mathematical libraries, distributed data-intensive applications and, finally, applications based on the simulation of agents (ABS) with SPMD structure.
As a result of the work on modeling the performance of ABS parallel systems, we have opened a new line for the definition and implementation of a benchmark for assessing the performance of the parallel simulators generated by well-known platforms, such as FLAME, Repast-HPC or D-Mason. In addition, the knowledge we have gained on this topic has opened new ways of collaboration for optimizing real parallel ABS in the health sciences area (tumor growth and infection spread).
National projects: 12, European: 1
International conferences: 17, National: 4, Journal papers: 11
International Presentations: 4
Parallel Applications Tuning Tools (2010-present): Focused on the design and development of tools for automatic tuning and, in some cases, also dynamic tuning of parallel applications. These tools allow the integration of performance models in the form of external components provided by the analyst. For this reason, this research line is tightly coupled with the Parallel Application Modeling one. The two main tools developed totally or partially by our group are Monitoring Analysis and Tuning Environment-MATE (and its highly scalable evolution ELASTIC) and Periscope Tuning Framework-PTF.
National projects: 2, European: 1
International conferences: 11, Journal papers: 2
Tools: MATE, ELASTIC, PTF
International Presentations: 5
Displaying 10 of 174 results for "Jonathan Marino" clear search