Community

Carolina Cucart-Mora Member since: Friday, November 04, 2016

Degree in HIstory, Master's degree in Quaternary Archaeology

Rikard Roitto Member since: Tuesday, July 23, 2013

PhD in Religious Studies

Historical studies of Early Christianity. Simulations of social agents aids my interpretation of history.

Kit Martin Member since: Thursday, January 15, 2015

B.A. History, Bard College, M.A. International Development Practice Humphrey School of Public Affairs

Studying the negative externalities of networks, and the ways in which those negatives feedback and support the continuities.

Elpida Tzafestas Member since: Sunday, December 14, 2014

Electrical and Computer Engineering Degree, DEA (MSc) in Artificial Intelligence, PhD in Artificial Intelligence

Area: Complex Biological, Social and Sociotechnical Systems
Specific focus: Origins of intelligent behavior

Mark Ciotola Member since: Saturday, November 22, 2014

BA in Economics, University of Wisconsin-Madison, BA Physics, San Francisco State University, MBA, San Francisco State University, JD, University of New Hampshire, Grad. Cert in Applied Sciences-Space Science, Univ. of South Australia

Utilizing physics, especially thermodynamics, to model human history.

Roy Wilson Member since: Thursday, March 24, 2016

PhD Social and Comparative Analysis in Education, MS History and Policy, MH Humanities, MS Computer Science, MA Mathematics, BA Mathematics and Philosophy

I am interested in the study of small-group decision-making using agent-based simulation of models grounded in sociological social psychology. I am also interested in a particular kind of small-group decision-making: peer review.

Kenneth Aiello Member since: Thursday, January 23, 2020 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.

Carlos Alexandre Ferreira Gama Member since: Wednesday, July 17, 2019 Full Member

M.Sc., Economics, IBMEC, B.Sc., Industrial Engineering, UERJ

Intrapreneur and experienced Consultant with a demonstrated history in the energy industry. Skilled in Business Planning, Corporate Finance, Digital Transformation and Analytics. Strong consulting professional focused in Organizational Development and Project Management. I have a degree in Industrial Engineering from the Rio de Janeiro State University (2000) and a master’s degree in Economics from Brazilian Institute of Capital Markets IBMEC (2003). Has experience in the area of Computer Science, with emphasis on Modeling of Complex Systems.

Complex Systems
Agent-based Models
System Dynamics
Innovation
Economics
Organizational Development

Grant Snitker Member since: Monday, April 21, 2014 Full Member Reviewer

Grant Snitker, M.A., is a doctoral candidate in archaeology at Arizona State University and a National Science Foundation Graduate Research Fellow. His research focuses on prehistoric uses of controlled fire, settlement history, and environmental change. Snitker approaches these topics through geoarchaeology, archaeological survey methods, GIS modeling, and landscape/fire ecology. He currently works in Spain investigating the origins and evolution of early farming communities (7,700–4,500 cal. BP) and how they used fire to create productive agricultural landscapes. Snitker also applies his knowledge of archaeology and fire ecology as an archaeological resource advisor on wildland fire incidents here in Arizona. He works alongside firefighters to protect archaeological sites from wildfires and potentially destructive firefighting activities.

Envrionmental Archaeology, Fire Ecology, GIS, Agent-based modeling, Geoarchaeology

Becky Mawhood Member since: Thursday, March 31, 2016

MSc Environmental Technology, BA Mathematics, French & History of Art

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.

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