Dr. Gravel-Miguel is currently looking for work. For the past 2.5 years, she worked as a Research Scientist at the New Mexico Consortium, training Machine Learning models to find archaeological sites in lidar-derived imagery. Before that, she worked as a Postdoctoral Research Scholar for the Institute of Human Origins at Arizona State University. She does research in Archaeology and focuses on the Upper Paleolithic of Southwest Europe.

Cristina Montañola Sales is an assistant professor at Institut Químic de Sarrià in Ramon Llull University, where she teaches subjects in ICT and statistics. She holds a PhD in Statistics and Operations Research and specializes in the investigation of novel quantitative methods for studying human behavior, such as agent-based models and spatio-temporal analysis. Her interdisciplinary research combines mathematics with social sciences, biomedicine and High-Performance Computing. She has studied various contexts, such as the dynamics of mobility of Gambian emigrants, demographic forecasting in South Korea, and ecological resilience of hunter-gatherers in India. Her research on tuberculosis transmissions and COVID-19 has advanced knowledge in epidemics, demographic dynamics and computational statistics. She has published articles and participated in international projects on simulation, parallel computing and global health.

Amineh Ghorbani is an assistant professor at the Engineering Systems and Services Department, Delft University of Technology, the Netherlands. She is also an affiliated member of the “Institutions for Collective Action” at Utrecht University. She obtained her M.Sc. in Computer Science (Artificial intelligence) from University of Tehran (Iran) (2009, honours) and her PhD from Delft University of Technology (2013, cum laude).

During her PhD, Amineh developed a meta-model for agent-based modelling, called MAIA, which describes various concepts and relations in a socio-technical system. This modelling perspective helped her develop a modelling paradigm that she refers to as institutional modelling.

Her current area of research is understanding the emergence and dynamics of institutions (set of rule organizing human society) using modelling. She is interested in how bottom-up collective action emerges and how institutions emergence and change within communities.

Annie Waldherr is Professor of Computational Communication Science at the Department of Communication at the University of Vienna. She studied Communication Science at the University of Hohenheim and the School of Journalism and Communication at the University of Oregon. She held positions at the Faculty of Social Sciences at the University of Hohenheim and the Institute for Media and Communication Studies at Freie Universität Berlin where she also obtained her PhD in 2011. Before joining the University of Vienna in September 2020, Annie Waldherr was Assistant Professor at the Department of Communication at the University of Münster.

**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

Ronja Hotz is a PhD student in the Land Use Change & Climate Research Group at the Karlsruhe Institute of Technology, where she has been working since August 2023. Her research focuses on understanding and modelling the social processes underlying land use change using agent-based modelling, with a particular emphasis on the CRAFTY framework. She holds a Bachelor’s degree in Physics from Freie Universität Berlin and a Master’s degree in Theoretical Physics from Technische Universität Berlin.

Prior to her PhD, she worked at the Potsdam Institute for Climate Impact Research, where she implemented a generic decision-making layer for land managers in agent-based socio-ecological models. The framework was analysed in a stylised model to investigate emergent dynamics and critical transitions and was subsequently integrated into the InSEEDS model, which simulates the adoption of conservation agriculture at regional to global scales.