The Chaos Theory and Complexity Sciences Research and Educational Project is an international research project based on scientific research, technological production and lectures for the Mathematics I, Mathematics II, Statistics and Finance courses taught by Carlos Pedro Gonçalves (https://orcid.org/0000-0002-0298-3974) at the Bachelor in Aeronautical Management (https://www.ulusofona.pt/en/undergraduate/aeronautical-management) in Lusophone University Lisbon University Center's School of Economic Sciences and Organizations.
All Netlogo programmed and Agent-Based Models are made available at Northwestern University's Center for Connected Learning and Computer-Based Modeling (CCL)'s Modeling Commons Platform at the Chaos Theory and Complexity Sciences Modeling Commons page:
http://modelingcommons.org/projects/190
The Github repository for the project with Python programmed software is available at:
https://github.com/cpgoncalves/chaos-theory-complexity
The project's webinars (in Portuguese) are available on the present website as well as on Youtube in the following playlist:
https://youtube.com/playlist?list=PLmLUR-kyF1qV5PB5fl-0vb1EELsxwengn
Sample Publications
Gonçalves C.P. & Rouco J. (2021). Comparing Decision Tree-Based Ensemble Machine Learning Models for COVID-19 Death Probability Profiling. JJ Vaccines Vaccin, Vol. 12 Iss. 1 No: 1000441: https://www.walshmedicalmedia.com/open-access/comparing-decision-treebased-ensemble-machine-learning-models-for-covid19-death-probability-profiling.pdf
Gonçalves C.P. (2022). Quantum Neural Networks, Computational Field Theory and Dynamics. Int J Swarm Evol Comput, Vol. 11 Iss. 4 No: 1000246: https://www.walshmedicalmedia.com/open-access/quantum-neural-networks-computational-field-theory-and-dynamics.pdf
Gonçalves C.P. (2022). Coupled Stochastic Chaos and Multifractal Turbulence in an Artificial Financial Market. Int J Swarm Evol Comput, Vol. 11 Iss. 7 No: 1000261: https://www.walshmedicalmedia.com/open-access/coupled-stochastic-chaos-and-multifractal-turbulence-in-an-artificial-financial-market.pdf
Gonçalves C.P. (2022). Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data. Int J Swarm Evol Comput, Vol. 11 Iss. 9 No: 1000271: https://www.walshmedicalmedia.com/open-access/low-dimensional-chaotic-attractors-in--sarscov2s-regional-epidemiological-data.pdf
Gonçalves C.P. (2023). Low Dimensional Chaotic Attractors in Daily Hospital Occupancy from COVID-19 in the USA and Canada. Int J Swarm Evol Comput, Vol. 12 Iss. 01 No: 1000291: https://www.walshmedicalmedia.com/open-access/low-dimensional-chaotic-attractors-in-daily-hospital-occupancy-from--covid19-in-the-usa-and-canada.pdf
Gonçalves CP (2023) Chaos-Induced Self-Organized Criticality in Stock Market Volatility-An Application of Smart Topological Data Analysis. Int J Swarm Evol Comput. 12:331; https://www.walshmedicalmedia.com/open-access/chaosinduced-selforganized-criticality-in-stock-market-volatilityan--application-of-smart-topological-data-analysis.pdf
About the Author:
Carlos Pedro Gonçalves
Associate Professor at Lusophone University of Humanities and Technologies - School of Economic Sciences and Organizations - Department of Management on Civil Aviation and Airports.
Integrated Researcher at The Transdisciplinary Research Center of Innovation & Entrepreneurship Ecosystems (TRIE), researching on Complexity Sciences, Chaos Theory, Risk Science, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk.