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DySES conference 2022 NEOMA

Scientific programme

Best paper award

A jury will assess the three best papers that will be presented at the conference in any form (live, poster)

First plenary session

Vernon Smith (Nobel Prize for Economics, Chapman University, USA): “Propriety, Property, and Price Discovery in Adam Smith and Classical Economics”

Abstract:

Adam Smith published The Theory of Moral Sentiments in 1759 articulating a theory of society based on emergent rule-governed norms of social propriety. Society is here based on people who care enough, or not, about getting along with their neighbors that they follow rules of Beneficence and of Justice as Security from Injury, that create order that includes property. He published The Wealth of Nations in 1776, in which he models price discovery in markets—important for his fundamental theorem is that wealth is created by specialization and is determined by the extent of markets.  

Neoclassical economics failed to articulate a model of price discovery by buyers’ and sellers’ interacting in markets, because Utility Maximizing Demand expressed pre-market demand conditional on “given” prices before prices cand be discovered in markets. The classical economists got ii right and we provide an information-based mathematical model of their thought process.

Vernon L. Smith, based and dependent on joint work with Bart Wilson and Sabiou Inoua.

Second plenary session

Ashraf Labib (University of Portsmouth) : “Triple Loop Learning from Catastrophic Events”

Abstract:

It is now about 10 years ago since we had the catastrophe of the nuclear power plant in Fukushima, Japan.  What are the lessons learnt from such disaster? How can we learn lessons using a hybrid of analytic tools?  Is nuclear power energy safe? These are some of the questions that will be addressed during the talk. 

Mental models for root cause analysis and multiple criteria decision-making tools will be utilised in the investigation. A model of three loops learning is then proposed and verified through applying it to the case study.

About Ashraf Labib:

Ashraf is a Professor at University of Portsmouth, UK. He served as Associate Dean for Research and has been the Director of the DBA Programme.  His area of research is in reliability engineering and maintenance systems as well as decision analysis. He is a Senior Fellow of Higher Education Academy, Fellow of the Operational Research Society (ORS), a Fellow of the IET and a Chartered Engineer.  He published over 150-refereed papers in professional journals and international conferences proceedings. He published a book on Learning from Failures: Decision Analysis of Major Disasters (2014), and co-authored a book on Reconfigurable Manufacturing Systems. He received four awards: 1999, 2000, 2008, 2012, 2019 “Highly Commended” awards for five published papers from the Literati Club, MCB Press. 

For more details please check: https://www.port.ac.uk/research/research-areas/areas-of-expertise/risk-and-security-analytics

Third plenary session

Bice Cavallo (University of Naples Federico II): “An algebraic approach to multi-criteria decision making.”

Abstract:

Pairwise comparisons have been a long-standing technique for comparing alternatives/criteria and their role has been pivotal in the development of modern decision-making methods. Pairwise comparisons can be performed within several theoretical frameworks such as multiplicative, additive and fuzzy preference systems, which are particular instances of a more general framework based on Abelian linearly ordered groups. In this context, several coherence conditions and incoherence indices have been proposed. Finally a suitable weighted vector has been proposed.

About Bice Cavallo:

Bice Cavallo is Associate Professor of Mathematical Methods in Economics, Finance and Actuarial Sciences at University of Naples Federico II. In 2018 she obtained the National Scientific Qualification (ASN) as Full Professor. She is a member of the College of the International Doctorate programme in Materials, Mechatronics and Systems Engineering at the University of Trento. In September 2020, she has been selected as component of Experts Evaluator Group (GEV) ANVUR VQR 2015-2019 in 13a-Economics and Statistics.

She is the author of over 50 scientific articles and has participated in numerous national and international conferences both as speaker and organizer. The main research activity is related to multi-criteria decision-making methods and Bayesian networks, for which she has received several awards and achievements, such as: TR35-Young Innovators award; special mention in the context of the international prize “Guido Dorso”. She has carried out research periods at foreign universities such as University of Portsmouth (UK), Aalto University (Finland) and Université Paris 1 Panthéon Sorbonne (France).

Fourth plenary session

Panos Pardalos (Paul and Heidi Brown Preeminent Professor in Industrial & Systems Engineering at the University of Florida) : “Dynamics of disasters”

Abstract:

Extreme global disasters are a subject of scientific intrigue and a huge amount of research has been devoted to them. Much work is devoted to studying them across the fields of science, ethics, and policy issues of catastrophic risk.

Humans experience a wide array of disasters that generally fall into two categories: natural disasters such as hurricanes, earthquakes, tsunamis, volcanic eruptions, pandemics, etc.; and unnatural, or man-made, disasters such as wars, explosions, wildfires, chemical spills, etc.
Such disasters wreak havoc and provoke extensive and large-scale devastation, and carry extremely serious financial repercussions for nations, organizations, and individuals. In this lecture, we are going to address some of the issues regarding the dynamics of disasters and address some of the latest developments. We hope to stimulate and
promote awareness and discussions.

About Panos Pardalos:

Panos Pardalos was born in Drosato (Mezilo) Argitheas  in 1954 and graduated from Athens University (Department of Mathematics).  He received  his  PhD  (Computes and Information Sciences) from the University of Minnesota.  He  is a Distinguished Emeritus Professor  in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of Biomedical Engineering and Computer Science & Information & Engineering departments.

Panos  Pardalos is a world-renowned leader in Global Optimization, Mathematical Modeling, Energy Systems, Financial applications, and Data Sciences. He is a Fellow of AAAS, AAIA, AIMBE, EUROPT, and INFORMS and was awarded the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. In addition, Panos  Pardalos has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies. This medal is the preeminent European award given to Operations Research (OR) professionals for “scientific contributions that stand the test of time.”

Panos Pardalos has been awarded a prestigious Humboldt Research Award (2018-2019). The Humboldt Research Award is granted in recognition of a researcher’s entire achievements to date – fundamental discoveries, new theories, insights that have had significant impact on their discipline.

Panos Pardalos is also a Member of several  Academies of Sciences, and he holds several honorary PhD degrees and affiliations. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization, Computational Management Science, and Springer Nature Operations Research Forum. He has published over 600 journal papers, and edited/authored over 200 books. He is one of the most cited authors and has graduated 71 PhD students so far. Details can be found in www.ise.ufl.edu/pardalos

Panos Pardalos has lectured and given invited keynote addresses worldwide in countries including Austria, Australia, Azerbaijan, Belgium, Brazil,  Canada,Chile, China, Czech Republic, Denmark, Egypt, England, France, Finland, Germany, Greece, Holland,  Hong Kong, Hungary, Iceland, Ireland, Italy, Japan, Lithuania, Mexico, Mongolia, Montenegro, New Zealand, Norway, Peru, Portugal, Russia, South Korea, Singapore, Serbia, South Africa, Spain, Sweden, Switzerland, Taiwan, Turkey, Ukraine, United Arab Emirates, and the USA.

 

 

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