Eric has graduate degrees in urban planning and policy and sociology and an undergraduate degree in biology. He has worked on multiple collaborative and interdisciplinary projects and is skilled at engaging communities and other stakeholders. He is adept at qualitative research and has earned a Certificate in Geospatial Analysis and Visualization, demonstrating proficiency in Adobe Suite, ArcGIS, agent-based modeling and system dynamics modeling. He is currently writing manuscripts for publication based on his work on motivating energy retrofit decisions, energy-related urban planning, municipal decision-making on infrastructure investments, and other work on resilience and sustainability.

Malte Vogl is a senior research fellow at the Max Planck Institute of Geoanthropology with a PhD in Physics. Until recently, he worked as a research fellow and PI at the Max Planck Institute for the History of Science, in projects ranging from Digital Humanities work on the ancient perception of time and space in the cluster of excellency TOPOI, building and evalutation of research data infrastructures in context of the DARIAH project, large scale analysis of archival data for the history of the MPG project GMPG to the most recent, BMBF-funded work on method development for modelling knowledge evolution as a multilayered temporal network in the ModelSEN project.

Ifigeneia Koutiva (female) is a senior environmental engineer, holding a PhD in Civil Engineering (NTUA), a Postgrad Diploma in Water Resources and Environmental Management (Un. of Belgrade - e-learning), an MSc in Environmental Technology (Imperial College London) and an MSc in Mining and Metallurgy Engineering (NTUA). Her PhD was funded by the Greek Ministry of Education through Heracleitous II scholarship. She is currently a postdoctoral scholar of the State Scholarship Foundation (IKY) for 2020 - 2021. She has 10 years of experience in various EU funded research projects, both as a researcher and as a project manager, in the fields of socio-technical simulation, urban water modelling, modelling and assessment of alternative water technologies, artificial intelligence, social quantitative research, KPI and water indicators development and assessment and analysis of large data sets. She is very competent with programming for creating ICT tools for agent based modelling and data analysis tools and she is an experienced user of spatial analysis software and tools. She is also actively involved in the design and implementation of numerous consultation workshops and conferences. She has authored more than 20 scientific journal articles, conferences articles and research reports.

I have been involved in agent-based modelling since the early nineties with a consistent attention to methdological improvement, institutional development and empirical issues. My mission is that ABM should be a routinely accepted research method (with a robust methodology) across the social sciences. To this end I have built diverse models and participated in research projects across economics, law, medicine, psychology, anthropology and sociology. I took a DPhil in economics on adaptive firm behaviour and then was involved in two research projects on money management and farmer decision making. Since 2006 I have worked at the Department of Sociology (now the School of Media, Communication and Sociology) at the University of Leicester. I was involved in the founding of JASSS and (more recently RofASSS https://rofasss.org) and have regularly served on the review panels for international conferences in the ABM community.

Guido Fioretti, born 1964, graduated in Electronic Engineering in 1991 at La Sapienza University, Rome. In 1995, he received a PhD in Economics from this same university. Guido Fioretti is currently a lecturer of Organization Science at the University of Bologna.

Dr. Mariam Kiran is a Research Scientist at LBNL, with roles at ESnet and Computational Research Division. Her current research focuses on deep reinforcement learning techniques and multi-agent applications to optimize control of system architectures such as HPC grids, high-speed networks and Cloud infrastructures.. Her work involves optimization of QoS, performance using parallelization algorithms and software engineering principles to solve complex data intensive problems such as large-scale complex decision-making. Over the years, she has been working with biologists, economists, social scientists, building tools and performing optimization of architectures for multiple problems in their domain.