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Displaying 10 of 271 results for "Elena A. Pearce" clear search

didiergl Member since: Tue, Mar 13, 2012 at 04:24 PM

PhD in Statistics, MSc in Computing Science

Didier’s Research:
are related to interoperability and conflation models in geospatial analysis and integrated modelling applications, particularly in the context of spatial data infrastructures such as GEOSS. This translates to a focus on geospatial statistics, geospatial patterns, outbreak detection and geospatial data mining in general, but also to data quality and uncertainty propagation principles in relation to geoworkflows connected to/using web services. Didier’s research centres on environmental agro-ecological geospatial models, and public health and spatial epidemiology applications. (see website)

Colin Wren Member since: Tue, Apr 16, 2013 at 07:01 PM Full Member Reviewer

B.A., Anthropology, McGill University, M.Sc., GIS and Spatial Analysis in Archaeology, University College London, Ph.D., Archaeology, McGill University

Currently Associate Professor of Anthropology, University of Colorado Colorado Springs. I took my first modelling class in Repast with Dr. Mark Lake as part of my M. Sc. at UCL. After a workshop with Dr. Luke Premo and Dr. Anne Kandler, I moved to NetLogo and haven’t looked back.

Find our recent textbook, Agent-based modeling for Archaeology: Simulating the Complexity of Societies here: https://santafeinstitute.github.io/ABMA/

Manuel Castañón-Puga Member since: Wed, Oct 16, 2019 at 10:50 PM Full Member

Ph.D. Computer Science, Universidad Autónoma de Baja California, México., MSC Computer Science, Tecnológico Nacional de México, México., ENG Industrial, Tecnológico Nacional de México, México.

I´m a full Professor at the Universidad Autónoma de Baja California in Mexico. I teach computer sciences and software engineering in graduate and undergraduate academic programs.

  • Computational science
  • Computational social science
  • Social-inspired ICT
  • Social computation
  • Agents technology
  • Computational intelligence and hybrid-intelligent agents
  • Complexity and complex systems
  • Multi-agent systems
  • Computational modeling
  • Context-oriented programming
  • Knowledge Management
  • Software engineering

Shelby Manney Member since: Fri, Sep 26, 2014 at 08:20 PM

BA - English, BS - Anthropology (Archaeoinformatics - GIS, Applied Stats, Data Mang.,CRM CERT), BFA - Music, BA - Writing & Rhetoric, MA - Technical, Professional, & Science Writing (TPSW - Cert), MS - Cultural Studies in Applied Sciences (Philosophy of Science - Archaeology/Semiotics Focus), MA - Anthropology

General Question:
Without Central Control is self organization possible?

Specific Case:

Considering the seemingly preplanned, densely aggregated communities of the prehistoric Puebloan Southwest, is it possible that without centralized authority (control), that patches of low-density communities dispersed in a bounded landscape could quickly self-organize and construct preplanned, highly organized, prehistoric villages/towns?

Christian Reynolds Member since: Fri, May 20, 2016 at 03:20 PM

PhD Applied Math

Christian Reynolds is a Public Health Research Fellow at the Rowett Institute of Nutrition and Health, University of Aberdeen, and an adjunct Research Fellow at the Barbara Hardy Institute for Sustainable Environments and Technologies, University of South Australia. Christian’s research examines the economic and environmental impacts of food consumption; with focus upon food waste, sustainable diets, and the political power of food in international relations.
Christian has experience in economic input-output, material flow and environmental (Life Cycle Analysis) modelling and has published peer reviewed articles on these topics.

Kenneth Aiello Member since: Thu, Jan 23, 2020 at 04:14 PM Full Member

Ph.D., Biology and Society, Arizona State University, B.S., Sociology, Arizona State University,, B.S., Biology, Arizona State University

Kenneth D. Aiello is a postdoctoral research scholar with the Global BioSocial Complexity Initiative at ASU. Kenneth’s research contributes to cross disciplinary conversations on how historical developments in biological, social, and cultural knowledge systems are governed by processes that transform the structure, dynamics, and function of complex systems. Applying computational historical analysis and epistemology to question what scientific knowledge is and how we can analyze changes in knowledge, he uses text analysis, social network analysis, and machine learning to measure similarities and differences between the knowledge claims of individual agents and groups. His work builds on how to assess contested knowledge claims and measure the evolution of knowledge across complex systems and multiple dimensions of scale. This approach also engages in dynamic new debates about global and local structures of knowledge shaped by technological innovation within microbiology related to public policy, shrinking resources given to biomedical ideas as opposed to “translation”, and the ethics of scientific discovery. Using interdisciplinary methods for understanding historical content and context rich narratives contributes to understanding new domains and major transitions in science and provides a richer understanding of how knowledge emerges.

Angelos Chliaoutakis Member since: Thu, Mar 26, 2020 at 01:00 PM

Ph.D., Computer Engineering, Technical University of Crete, Greece

Angelos Chliaoutakis received his PhD in Electronic & Computer Engineering in 2020 at Technical University of Crete (TUC), Greece. During 2005-2020 he was a research assistant at the Intelligent Systems Laboratory of TUC, participating in several research projects associated with NLP, semantic similarity and ontology based information systems. Since 2010 he is also a research assistant at the Laboratory of Geophysical - Satellite Remote Sensing and Archaeo-environment (GeoSat ReSeArch Lab) of the Institute for Mediterranean Studies of Foundation for Research and Technology (IMS-FORTH), were he is involved in various research projects related to the full-stack development of Geographical Information Systems (GIS), web-based GIS applications and Geoinformatics in the cultural and archaeological domain. This ultimately transformed his interest and research direction towards computational archaeology, in particular, agent-based modeling and simulation, while intertwining ideas and approaches from Artificial Intelligence, Multi-agent Systems and GIS.

Research activities range between Computer Science, Information Systems and Natural Language Processing (NLP), Agent-based modeling/simulation (ABM), Artificial Intelligence (AI) and Multi-Agent Systems (MAS) and Geographical Information Science (GIScience).

Dehua Gao Member since: Mon, Jan 05, 2015 at 04:37 PM Full Member

**PROFESSIONS **

Associate Professor
School of Management Science and Engineering, Shandong Technology and Business University (Yantai 264005, P. R. China)

**EDUCATION BACKGROUDS **

Ph. D. Degree, 09/2009 – 07/2015
School of Economics and Management, Beihang University (P. R. China)

M. A. Degree, 09/2003 – 02/2006
The Institute of Systems Engineering, Dalian University of Technology (P. R. China)

B. A. Degree, 09/1999 – 07/2003
Department of Information and Control Engineering, Zhengzhou University of Light Industry (P. R. China)

**VISITING & SUMMER SCHOOLS **

Visiting Scholar at GECS – Research Group of Experimental and Computational Sociology (March, 2017 – February, 2018)
 Università degli Studi di Brescia (Italy)
 Co-supervisor: Professor Flaminio Squazzoni

Summer school in ‘Agent-based modeling for social scientists’ (September 4-8, 2017)
 University of Brescia, Italy
 Instructors: Flaminio Squazzoni, Simone Gabbriellini, Nicolas Payette, Federico Bianchi

The Santa Fe Institute’s Massive Open Online Course: Introduction to Agent-Based Modeling (Jun 5 – September 8, 2017)
 The Santa Fe Institute, Complexity Explore Web: abm.complexityexploer.org
 Instructors: Bill Rand

Summer school in ‘Complex systems and management’ (July 2-12, 2012)
 National Defense University, P. R. China
 Instructors: Xinjun Mao, Yongfang Liu, Dinghua Shi, Qiyue Cheng

Routine dynamics, Agent-based modeling, Computational social/organization science, Industrial systems engineering, etc.

Leonardo Grando Member since: Sun, Jul 14, 2019 at 03:01 PM

Technology Ph.D Student, Technology Ms.C.

Leonardo Grando is a Ph.D. Student at the University of Campinas (UNICAMP) in Brazil. I am interested in complex systems, agent-based simulation, artificial intelligence, the Internet of Things, programming, and machine learning tools. I have expertise in Netlogo, Python, R, Latex, SQL, and Linux tools.

My Ph.D. work project is an IoT devices (UAVs) swarm agent-based modeling simulation (ABMS) aiming the perpetual flight. The workflow is Netlogo to ABMS simulate, Python and R to data analysis, and I use Latex for my thesis writing.

  • Agent-Based Simulation
  • Machine Learning
  • UAVs
  • Drones
  • Swarms

Anna Pagani Member since: Wed, Mar 10, 2021 at 10:01 AM

Anna Pagani is an architect and doctoral researcher under the supervision of Prof. Claudia R. Binder in the interdisciplinary laboratory for Human-Environment Relations in Urban Systems (HERUS) at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. In her PhD, she works closely with tenants, housing providers and practitioners to provide housing that is not only environmentally but also socioculturally sustainable.

Her research interests revolve around the relationship between the human and material components of the built environment, and more specifically on the introduction of a systems perspective to housing studies.

Displaying 10 of 271 results for "Elena A. Pearce" clear search

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