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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.

Stefano Picascia Member since: Thu, Mar 07, 2019 at 02:14 PM

Kim van Vliet Member since: Sat, Apr 27, 2019 at 07:23 PM

Andrew Gillreath-Brown Member since: Thu, Jul 25, 2019 at 03:42 PM Full Member

A.S., Pre-Engineering, Wallace State Community College, B.S., Mathematics and Natural Sciences, Freed-Hardeman University, B.A., Religious Studies, Freed-Hardeman University, B.A., Anthropology, Middle Tennessee State University, M.S., Applied Geography: Environmental Archaeology, University of North Texas

I am a computational archaeologist interested in how individuals and groups respond to both large scale processes such as climate change and local processes such as violence and wealth inequality. I am currently a PhD Candidate in the Department of Anthropology at Washington State University.

My dissertation research focuses on experimenting with paleoecological data (e.g., pollen) to assess whether or not different approaches are feasible for paleoclimatic field reconstructions. In addition, I will also use pollen data to generate vegetation (biome) reconstructions. By using tree-ring and pollen data, we can gain a better understanding of the paleoclimate and the spatial distribution of vegetation communities and how those changed over time. These data can be used to better understand changes in demography and how people responded to environmental change.

In Summer 2019, I attended the Santa Fe Institute’s Complex Systems Summer School, where I got to work in a highly collaborative and interdisciplinary international scientific community. For one of my projects, I got to merry my love of Sci-fi with complexity and agent-based modeling. Sci-fi agent-based modeling is an anthology and we wanted to build a community of collaborators for exploring sci-fi worlds. We also have an Instagram page (@Scifiabm).

Sedar Olmez Member since: Wed, Nov 06, 2019 at 10:25 AM Full Member

MSci in Computer Science, MSc in Data Analytics and Society

Sedar is a PhD student at the University of Leeds, department of Geography. He graduated in Computer Science at King’s College London 2018. From a very early stage of his degree, he focused on artificial intelligence planning implementations on drones in a search and rescue domain, and this was his first formal attempt to study artificial intelligence. He participated in summer school at Boğaziçi University in Istanbul working on programming techniques to reduce execution time. During his final year, he concentrated on how argumentation theory with natural language processing can be used to optimise political influence. In the midst of completing his degree, he applied to Professor Alison Heppenstall’s research proposal focusing on data analytics and society, a joint endeavour with the Alan Turing Institute and the Economic and Social Research Council. From 2018 - 2023 he will be working on his PhD at the Alan Turing Institute and Leeds Institute for Data Analytics.

Sedar will be focusing on data analytics and smart cities, developing a programming library to try simulate how policies can impact a small world of autonomous intelligent agents to try deduce positive or negative impact in the long run. If the impact is positive and this is conveyed collectively taking into consideration the agent’s health, happiness and other social characteristics then the policy can be considered. Furthermore, he will work on agent based modelling to solve and provide faster solutions to economic and social elements of society, establishing applied and theoretical answers. Some other interests are:

  • Multi-agent systems
  • Intelligent agents
  • Natural language processing
  • Artificial intelligence planning
  • Machine learning
  • Neural networks
  • Genetic programming
  • Geocomputation
  • Argumentation theory
  • Smart cities

Tevfik Emre Serifoglu Member since: Mon, Dec 30, 2019 at 09:01 AM Full Member

After completing my undergraduate education at Bilkent University (Turkey), I continued my studies at the University of Cambridge, receiving first my MPhil and then my PhD in Assyriology/Ancient Near Eastern Archaeology, funded by a Chevening Open Society Scholarship and the Board of Higher Education of Turkey. After teaching for several years at Çanakkale Onsekiz Mart University, I moved to eastern Turkey to start the Archaeology Department of Bitlis Eren University, and I was the Head of Department until the end of 2018. I have been a visiting researcher at the American Center of Oriental Research in Amman in 2011 (Mellink Fellowship), at the Oriental Institute of the University of Chicago in 2014 (Fulbright Fellowship), and at the Department of Archaeology and Ancient History of Uppsala University in 2019 (Swedish Institute Fellowship). I have also held a Newton Advanced Fellowship here at Leicester in the UK. I have previously co-directed several fieldwork projects: the Cambridge University Kilise Tepe Excavations (southern Turkey, 2009-13), the Cide Archaeological Project (survey, Black Sea coast, 2010-1), the Sirwan Regional Project (survey, northern Iraq, 2012-5), and the Lower Göksu Archaeological Salvage Survey Project (survey, southern Turkey, 2013-7). I am currently co-directing the Çadır Höyük excavations, which is a joint American, British, Canadian and Turkish archaeological excavation project conducted in north-central Turkey, and the Taşeli-Karaman Archeological Project, which was initiated in 2018 as a continuation of the Lower Göksu Archaeological Salvage Survey Project, to study the Göksu River Basin in its wider geographical context in the hope of better understanding its role as a network hub connecting the eastern Mediterranean world to the central Anatolian Plateau.

Paul Hart Member since: Tue, Jan 14, 2020 at 04:16 PM Full Member

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.

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).

Roger Cremades Member since: Wed, Apr 01, 2020 at 06:59 AM Full Member

PhD, Natural Sciences, University of Hamburg

Dr. Roger Cremades is a complex systems scientist and heterodox global change economist integrating human-Earth interactions across systems and scales into modular quantitative tools, e.g. connecting drought risks in cities with land use at the river basin scale. He is elected Council member of the Complex Systems Society (2022-2025) and previously served as co-Chair of the Development Team of the Finance and Economics Knowledge-Action Network of Future Earth, the largest global research programme in global change (2020-2022). Roger coordinated research and co-production projects above €1M, and published in top journal like PNAS, Nature Climate Change, and Nature Geoscience. As a scientific modeler in the Social and Ecological Sciences, Roger integrates complex systems concepts into integrated assessment models of global change, with a focus on cities.

The future of CoMSES.Net, in Roger’s vision, is to augment its projection into a hub for discussing state-of-the-art approaches on modeling for the Social and Ecological Sciences, e.g. via bi-annual webinars, so that the Model Library becomes a lighthouse from where all communities developing, sharing, using, and reusing agent-based and other computational models also find valuable discussions to advance their research, education, and computational practice.

Global change, human-Earth interactions, complex systems.

Displaying 10 of 82 results for "Viet Cao" clear search

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