L’objectif de ces premières rencontres du Management Humain est de rassembler la communauté d’enseignant·es-chercheur·es et de praticien·nes du Management Humain afin d’organiser un partage d’expériences, structurer cette communauté, et nourrir la pratique, l’enseignement et la recherche en Management Humain.

La rencontre s’organise en deux temps distincts :

• une matinée réservée aux enseignants-chercheurs. Cette année, l’ambition est de partager des bonnes pratiques en matière d’enseignement du Management Humain (partage de deux ou trois pratiques existantes, co-construction d’un dispositif d’apprentissage du MH par public cible…) ;
• un après-midi pour les praticiens et praticiennes du Management Humain. Cette année, l’ambition est de partager des bonnes pratiques de Management Humain (partage de deux ou trois pratiques ou projets ; échanges par thèmes (politique MH ; évaluation ; carrière ; …) et mise en commun de pratiques concrètes de mise en Å“uvre du MH) ;

Bien entendu, les communautés sont amenées à se croiser à l’occasion d’un lunch commun et d’une participation croisée aux événements, ainsi qu’à l’occasion d’une conférence plénière. Cette journée de rencontres se tiendra le 19 septembre 2024 à Louvain-la-Neuve, à l’Сư³æ´«Ã½, LouRIM, Place des doyens, 1 (gare de Louvain-la-Neuve (terminus, à partir d’Ottignies), à proximité de Bruxelles (25 minutes).

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La journée se tiendra à l’Aula Magna. Modalités d’accès - Hôtels proches et recommandés : (sur le campus, face à l’Aula Magna) et (à 12 minutes à pieds).

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Inscription gratuite mais obligatoire via ce , avant le 20 juin.

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Comité d’organisationÌý: Caroline Ruiller (IGR-IAE Rennes), Anne Dietrich (IAE Lille University School of Management), Antoine Inglebert-Frydman (LouRIM, UCLouvain), Laurent Taskin (LouRIM & LSM, UCLouvain).

The study employs a multi-faceted approach, integrating advanced energy system modeling with uncertainty quantification. The EnergyScope Pathway model optimizes energy transition pathways, analyzing how different energy sources, including renewables and electrofuels, can meet defossilization targets. Polynomial Chaos Expansion (PCE) is used to address uncertainties, offering a computationally efficient method to explore how variations in key inputs impact the model's outputs.
Additionally, the research incorporates agent-based reinforcement learning (RL) to model decision-making with limited foresight. This approach explores realistic, myopic strategies where actions are optimized based on short-term outcomes. The comparison between perfect foresight and myopic strategies reveals significant trade-offs between immediate costs and long-term sustainability.

Principal Component Analysis (PCA) is applied to reduce data complexity and highlight the most influential variables affecting energy transition outcomes. PCA enables a focused interpretation of how factors such as technology costs and energy demand contribute to overall uncertainty, aiding in more informed decision-making.

Key findings emphasize the critical role of renewable electrofuels in deep defossilization, particularly when domestic renewable energy is insufficient. The results suggest that the success of RL-based myopic strategies depends on early emissions reductions and infrastructure development for energy imports. With PCA, this work shows that massively integrating local renewables (solar and wind) thanks to a deeper electrification of the demand, enhances the robustness of the technological roadmap.

This thesis provides insights into the complexities of energy transition planning under uncertainty, offering guidance for policymakers and researchers on the importance of adaptive strategies that can respond to evolving technological, economic, and environmental conditions.

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Jury members :

• Prof. Francesco Contino (UCLouvain, Belgium), supervisor
• Prof. Hervé Jeanmart (UCLouvain, Belgium), supervisor
• Prof. ÌýPaul Fisette (UCLouvain, Belgium), chairperson
• Dr. Stefano Moret (ETH Zurich, Switzerland)
• Prof. Sylvain Quoilin (ULiège, Belgium)
• Prof. Stefan Pfenninger (TU Delft, The Netherlands)
• Prof. Christophe De Vleeschouwer (UClouvain, Belgium)

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Visio conference link :

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The following work provides an overview of the current state of DC microgrids. Their advantages over AC microgrids are discussed and illustrated. The different topologies and DC bus configurations are described. Potential power quality issues are examined. The current challenges of the technology are explored. Finally, the current state of standardization and existing implementations are detailed. Ìý

This work presents three major contributions. First, an overview and comparison of different control methods for converters in DC microgrids are provided. Both first-level controls and second-level controls are detailed and simulated. The second contribution of this work concerns a power flow algorithm tailored for DC microgrids. This power flow method is adapted for bipolar DC microgrids and further developed as a sequential power flow. This sequential power flow allows the study of the behavior of a DC microgrid over extended periods. The sequential power flow is then used to compare the performance of unipolar and bipolar DC microgrids. The final contribution of this work concerns the modeling of High-Frequency AC link three-port DC/DC/DC converters. The functioning of this type of converter is covered in detail. An averaged model and possible control schemes for this type of converter are proposed.

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Jury members :

• Prof. Emmanuel De Jaeger (UCLouvain, Belgium), supervisor
• Prof. Hervé Jeanmart (UCLouvain, Belgium), chairperson
• Prof. Bruno Dehez (UCLouvain, Belgium)
• Prof. Marc Bekemans (UCLouvain, Belgium)
• Dr. Benoît Bidaine (CE+T Power, Belgium)
• Prof. Jan Desmet (University of Ghent, Belgium)

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Visio conference link :

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Program:

09:00 – 09:05 : Opening

Abstracts for YRD September 20, 2024:

09:05 - 09:25 : Anas Mourahib
Title: Statistics of Extremes

Abstract:
On September 7, 2024, a flood tragically claimed the lives of at least 18 people in southern Morocco. To prevent such disasters in the future, we aim to construct a dike that is 1 meter higher than the ``once per 10000 year'' sea level. The challenge is that we have less than 100 years of data, which is similar to estimating the likelihood of an event that has not yet occurred. This is where Extreme Value Theory (EVT), a branch of statistics developed since the 1970s, comes into play. In this presentation, we will introduce two well-established main methods in EVT: the Block Maxima approach and the Threshold Exceedances approach. A brief application will follow to demonstrate how these methods can help in designing the dike.

09:25 - 09:50 : Stephane Lhaut
Title: Testing parametric models for the angular measure for bivariate extremes

Abstract:
The angular measure on the unit sphere characterizes the first-order dependence structure of the components of a random vector in extreme regions and is defined in terms of standardized margins. Its statistical recovery is an important step in learning problems involving observations far away from the center. In this paper, we consider the goodness-of- fit problem which consists of testing the adequacy of the extremal dependence structure of a bivariate random sample to a given parametric model. The proposed test statistic consists of a weighted L1-Wasserstein distance between a purely non-parametric, rank-based, estimator of the true angular measure obtained by maximizing a Euclidean likelihood, and an estimated version of the angular measure under the postulated parametric model. The asymptotic distribution of the test statistic is derived and used to obtain critical values for the proposed testing procedure via a parametric bootstrap. Consistency of the bootstrap algorithm is proved. A simulation study illustrates the finite-sample performance of the test for two popular models: the logistic and the Hüsler-Reiss models.

09:50 - 10:15 : Benjamin Deketelaere
Title: Quantile Regression with a Censored Covariate

Abstract:
In the last few years, there has been growing interest in regression with censored covariates. This is of interest e.g. when studying the symptom trajectory of a neurodegenerative disease. We are interested in studying quantile regression models with covariates that are either left, right or interval censored.Ìý Quantile regression offers many advantages over more classical mean regression, like e.g. its ability to study the whole distribution as opposed to the center of the distribution. For instance, in a study on the factors that influence high blood pressure, quantile regression allows to focus on the factors that are important for individuals in the upper tail of the blood pressure distribution. We propose a linear quantile regression model, and propose a two-stage estimation procedure of the regression coefficients, in which both steps are based on maximum likelihood estimation. The first step consists in modeling the distribution of the censored covariate given the other covariates, whereas in the second step the quantile regression coefficients are estimated. To do this, we propose to use families of enriched exponential and enriched Laplace distributions, respectively, both of which use Laguerre polynomial expansions to make the families sufficiently rich and flexible. We investigate the finite sample performance of the proposed method by means of extensive simulations.Ìý The developed methodology is also used to study the National Health and Nutrition Examination Survey data on the factors influencing high blood pressure.

10:15 - 10:40 : Coffee breakÌý

10:40 - 11:15 : Patricia Ortega-Jiménez
Title: Comparisons of VaR and CoVaR in terms of the value of the conditional variable.

Abstract:
Let us consider a random vector (X, Y ). Given a risk level v ∈ [0, 1], the most extended risk measure is the Value at Risk, V aRv(Y ) = F−1(v), which represents the maximum expected loss. However, the V aRv (Y ) measures the risk of the single institution without accounting for interactions with other risks. A dependence-adjusted version of the Value at Risk is the Co- Value at risk, CoV aRv,u(Y |X), which stands for V aRv(Y |X = V aRu(X)) for the risk levels v ∈ [0,1] and u ∈ [0,1]. Our goal is to find the values of the institution X that lead to the CoV aR being greater than the V aR of Y , as relying solely on the V aR may not be sufficient to face financial losses. We compare these two measures in terms of the risk-level of the conditional variable, u. For v ∈ (0, 1), under regularity conditions and a positive dependence structure, there exists a unique cut point uv such that CoV aRv,uv (Y |X) ≥ V aRv(Y ) if and only if u ≥ uv. We will see that this value uv only depends on the dependence structure of the vector. In addition we will discuss sufficient conditions and implications of the existence of an upper bound u∗ ∈ (0, 1) such that.Ìý uv ≤u∗ forall v∈(0,1).
Several examples of copulas with bounded and unbounded cut points are analyzed and a non-parametric estimator is provided. The presented results are mainly based on the recent paper: Ortega-Jiménez, P., Pellerey, F., Sordo, M. A., and Suárez-Llorens, A. (2024). Probability equivalent level for CoVaR and VaR. Insurance: Mathematics and Economics, 115, 22-35.

11:15 - 11:40 : Oussama Belhouari
Title: The Three-step method in a dynamic setting

Abstract:
A crucial issue in a dynamic framework, is how risk valuations at different times are interrelated. In this regard, the notion of time consistency was widely introduced and discussed in the literature. A time-consistent dynamic valuation is a pricing method according to which a product that will be, in almost all states of nature, cheaper than another one at a future date should already be cheaper today. Common actuarial premium principles are not time consistent. To this end, we link the latter with an iterated property. This paper aims at constructing a time-consistent, dynamic version of the Three-step method introduced in [Deelstra and Hieber, 2020], employing a backward iteration scheme. The backward scheme is exemplified in a dual-iteration approach using a classical application, specifically a Pure Endowment. Furthermore, we explore the continuous-time limit of the backward scheme, incorporating profit-sharing into the Pure Endowment to investigate a hybrid life payoff. Our analysis reveals that, due to time consistency, the price of the actuarial component in the Three-step method undergoes a substantial increase. To address this, and in accordance with [Devolder and Lebègue, 2016], we present a reduced time-consistent variant by decreasing the safety loads in each iterative step of the backward scheme.

11:40 - 12:15 : Luc Boone
Title: Application of inverse probability of censoring weighting (IPCW) in open-label cancer clinical trials with centrally reviewed endpoints: Illustrating and extending the methodology

Abstract:
Blinding of investigators (and patients) in randomized controlled trials is not always feasible. For subjective endpoints or outcome measures, this is especially problematic considering that assessment bias cannot be ruled out. In oncology, the endpoint progression-free survival (PFS) is commonly used and is defined as the time from randomization until tumor progression or death, whichever occurs first. Ìý
Tumor progression assessment is mostly done through radiographic images, which is prone to assessment bias in open-label (non-blinded) clinical trials.
Blinded independent central review (BICR) of endpoints such as progression-free survival is carried out in open-label cancer trials to mitigate assessment bias of unblinded local investigators. In many cases, BICR takes places retrospectively. Patients for whom progressive disease was not confirmed by BICR are commonly censored at the last time of (local investigator) assessment, in the absence of follow-up radiographic assessment. The censoring for such unconfirmed progressions is generally assumed to be independent when estimating survival curves and hazard ratios, which is questionable. Rather, the censoring in this case might be dependent and violate the assumption of independent censoring, and bias the commonly used estimators.
The goals of the research project are to: First, illustrate and study the application of inverse probability of censoring weighting (IPCW) to adjust for dependent censoring (Robins, 1993) in the context of open-label cancer clinical trials with centrally reviewed subjective endpoints; Second, propose and study the extension of the methodology of IPCW in the described setting through the use of joint models for longitudinal and time-to-event data; And lastly, offer recommendations to applied clinical trial statisticians on when and how to implement the illustrated and proposed methods.
-ÌýÌýÌý Robins JM. Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate markers. Proceedings of the Biopharmaceutical Section, American Statistical Association 1993; 24–33.

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Prof An GHYSELS - PhD, IBiTech - research group Biophysical Modeling for Biomedical Applications (BioMMedA), UGent

Modeling permeation of membranes: atomic-scale resolution with molecular dynamics simulations

Related publications:

• An Ghysels, Andreas Krämer, Richard M. Venable, Walter E. Teague Jr, Edward Lyman, Klaus Gawrisch & Richard W. Pastor. Permeability of membranes in the liquid ordered and liquid disordered phases. Nature Communications, volume 10, Article number: 5616 (2019).
• Samaneh Davoudi, Koen Raemdonck, Kevin Braeckmans, An Ghysels. Capric Acid and Myristic Acid Permeability Enhancers in Curved Liposome Membranes. J Chem Inf Model 2023 Nov 13;63(21):6789-6806.

Info: joseph.lorent@uclouvain.be

One of the primary missions of universities is the creation and dissemination of knowledge. Consequently, doctoral programs globally focus on how to train students to do quality research that could be published in reputable and high-quality journals. However, the high-quality and leading journals in all areas of business have low acceptance rates. This has led to an interest in how to increase the quality of papers that are submitted for publication in high-quality journals in business. This workshop will focus on presenting a set of guidelines for writing one part of the paper – the introduction. This is because the introduction is one of the most important parts of the paper. It also helps to position the paper in such a way that the contribution is clearly articulated.

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Moses Acquaah Bio

Dr. Moses Acquaah is a Professor and Director of the PhD program in Business Administration and former Head of the Department of Management in the Bryan School of Business and Economics, University of North Carolina at Greensboro (UNCG), and a Carnegie African Diaspora Fellow. Dr. Acquaah received his PhD in Organizations and Strategic Management from the University of Wisconsin-Milwaukee, USA. He has an MA in Economics and an MBA from Simon Fraser University, Canada, a Post-Graduate Diploma in Development Studies from the University of Cambridge, UK, and a BA in Social Sciences (Economics and Geography) from the University of Science and Technology, Ghana. His current research focuses on strategic management, international management, sustainability, entrepreneurship, and family businesses in emerging economies.ÌýÌý

Dr. Acquaah has published over 80 articles in several internationally recognized journals, conference proceedings and book chapters. Some of the journals include the Strategic Management Journal, Human Relations, Journal of Business Research, Strategic Organization, Journal of International Management, International Journal of Production Economics, International Journal of Production Research, Journal of Cleaner Production, International Business Review, Journal of Managerial Psychology, Africa Journal of Management and Journal of Family Business Strategy.ÌýÌý

He is the President of the Africa Academy of Management (AFAM), the Editor-in-Chief of the Journal of African Business, Associate Editor at the Journal of Business Research, and a Consulting Editor at the Journal of Comparative International Management.Ìý Dr. Acquaah is the Editor of the one of the foremost books on family business in Africa entitled, Family Businesses in Sub-Saharan Africa: Behavioral and Strategic Perspectives published by Palgrave Macmillan in 2016. He serves on the Editorial Review Boards of several journals.ÌýÌý

Dr. Acquaah’s work has won competitive research grants from organizations such as the Marion Ewing Kauffman Foundation, USA; the Family Owned Business Institute (FOBI), USA; Emerald Publishing Group, U.K.; and the Network for Business Sustainability, South Africa. Dr. Acquaah also served as the Vice-President for Membership, Academy of African Business and Development (AABD), from 2011-2016, and the Vice President and Treasurer of the Africa Academy of Management (AFAM). He was the Academy of Management’s Strategic Management (formerly Business Policy and Strategy) Division’s Global Representative for Africa from 2011-2013.ÌýÌý

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Andualem Assefa Welde

(University of Macerata)

will give a presentation on

Social Division and Preferences for Redistribution

Abstract:ÌýWhy is income redistribution almost nonexistent in Sub-Saharan Africa, despite it being one of the most unequal regions? Rising inequality does not automatically lead to redistributive taxation. The main aim of this study is to identify the key factors that shape individual preference for redistribution policies, with an emphasis on issues related to social stratification, such as ethnic favoritism and discrimination. The study relies on data from the 8th round Afrobarometer survey (2019-2022) , which introduced a range of questions on redistribution.