Oficina

Complex thinking and artificial intelligence

28 de outubro de 2024, 13h00-19h30 (GMT+1)

Evento em formato digital

Notas biográficas

Carlos Gershenson.  Carlos Gershenson is a tenured full professor at SUNY Binghamton. He is also affiliated with the Centro de Ciencias de la Complejidad and the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas of the Universidad Nacional Autónoma de México (UNAM). He have a broad range of academic interests, including complexity, artificial intelligence, artificial life, healthcare, self-organizing systems, information, urbanism, evolution, cognition, and philosophy of science. He is the current President of the Complex Systems Society (2021-) Editor-in-Chief of Complexity Digest (2007-), and member of the Board of Advisors for Scientific American (2018-). He was previously a Research Professor at UNAM (2008-2023, see his webpage from then), and visiting professor/researcher/scholar at the Santa Fe Institute (2022-2023), MIT (2015-2016), Northeastern (2015-2016), and ITMO University (2015-2019).

Gordana Dodig-Crnković. Gordana Dodig-Crnković is a Professor of Computer Science at Mälardalen University and a Professor of Interaction Design at Chalmers University of Technology in Sweden. She holds PhD degrees in Physics and Computer Science. Her current research has two main foci: the first is on mechanisms of cognitive intelligent computation and the connection between natural/morphological computation, information, and cognition; the second focus is on the ethics of technology and the study of value-based computational design. In addition to her research publications, Dodig-Crnković's interest in unconventional computing has resulted in the creation of numerous courses at the Master's and PhD levels. Her research into the ethical and value aspects of technology has led to many years of teaching ethics to technology students, with a special focus on new and emerging technologies such as AI, robotics, and autonomous vehicles.

Jennifer Chubb. Dr Jenn Chubb is Lecturer in Sociology, and an early career academic recruited after a strong career as a research fellow working on AI, data, responsibility, governance and society. Philosophically-informed and interdisciplinary, Jenn is a social scientist. She has published 30 papers, and is an editor of Journal of Humanities and Social Sciences Communications. She has delivered Responsible Research and Innovation (RRI) PhD training across the world for over 12 years, and has consulted for the Royal Society, the Wellcome Trust, and is an appointed advisor to the Better Images of AI project. She currently has 2 PhD students.

Seth Bullock. After gaining a BA in cognitive science and a DPhil (PhD) in evolutionary simulation modelling from the School of Cognitive and Computing Sciences at Sussex University, Seth Bullock spend two years in Berlin at the Max Planck Institute for Human Development working on simulating the evolution of adaptive decision-making behaviour in people and other animals. In 1999 he took up a five-year University Research Fellowship at the University of Leeds, founded the Biosystems research group, and became a Lecturer there in 2004. In October 2005 he joined the University of Southampton as Senior Lecturer, and helped to found the Science and Engineering of Natural Systems (SENSe) research group. In 2009 he became head of the SENSe group, and also became Director of Southampton's Institute for Complex Systems Simulation (ICSS). In 2011 he was promoted to Professor of Computer Science and helped found the Agents, Interaction and Complexity (AIC) research group. In 2015 he joined the University of Bristol's Department of Computer Science as Toshiba Chair in Data Science and Simulation. His principal research interest is complex systems simulation: the application of modelling techniques developed within artificial intelligence, complexity science, maths and physics to understanding how complex systems behave. He is interested in the potential for the modelling techniques that he uses to be applied to problems from many other disciplines. He has worked on problems from archaeology to zoology and his primary interests are in the life sciences and social sciences. He is also interested in self-organisation and adaptation in engineered systems, such as computational ecosystems, infrastructure systems, etc.

The Complex Thinking & AI team