Economics of Mutuality is a new economic model that proposes the integration of other forms of non-financial capitals in defining Companies' business performance that traditionally have been neglected by mainstream economics. Such forms of capitals include Natural Capital, Human Capital and Social Capital. Over the last 10 years, I have lead the research efforts that brought the construction of a system of metrics to assess these forms of capitals across a wide variety of contexts, such as Route-to-Market programs in Africa and South-East Asia, small-holder cocoa and coffee farming communities in Africa, Indonesia and Papua New Guinea.Within this collaboration, I am leading two work-streams:• Measuring Mutual Profit: a key objective of this work stream is to start addressing the question of what would be the ‘fair’ level of profit – through a better understanding of how the different forms of non-financial capitals work together throughout the value chain within the Company’s ecosystem and are reflected in firm-level accounting. • Methods of Evaluation: in this work-stream we use Randomised Controlled Trial (RCT) to test the core hypothesis of Economics of Mutuality: that more mutual practices produce better business results. The RCT is built on a Route-To-Market business program that Catalyst has developed with the Wrigley business unit in Kenya (MAUA program, see our working paper below).See the links below for an overview of the program and my intervention at the forum on the Mutuality metrics.https://eom.org/

2008 The Economics of Mutuality project launched2015 The Mutuality in Business program The Program is a multi-year collaboration between Mars-Catalyst and the Oxford’s Said Business School exploring mutuality as a new principle for organizing businesses. Within this collaboration, I am leading two work-streams:• Measuring Mutual Profit: a key objective of this work stream is to start addressing the question of what would be the ‘fair’ level of profit – through a better understanding of how the different forms of non-financial capitals work together throughout the value chain within the Company’s ecosystem and are reflected in firm-level accounting. • Methods of Evaluation: in this work-stream we use Randomised Controlled Trial (RCT) to test the core hypothesis of Economics of Mutuality: that more mutual practices produce better business results. The RCT is built on a Route-To-Market business program that Catalyst has developed with the Wrigley business unit in Kenya (MAUA program, see our working paper below).See the links below for an overview of the program and my intervention at the forum on the Mutuality metrics.Please visit our Economics of Mutuality web page at the link below.

Data Analytics- Developed and applied data mining and machine learning techniques (i.e. Marketing effectiveness, Neuro-marketing, Commodity markets forecasting). Marketing & TV advertising - method to measure the TV advertisement effectiveness on sales based on single-source panel data. The methodology, developed and piloted between 2000 and 2003 is currently the standard tool deployed through Mars globally to help marketing assessing the effectiveness of Mars TV campaigns.- simulation algorithm to replace single-source panel data for markets where these data was not available. This approach helped deploying the TV advertisement effectiveness measures in absence of single-source panel data.Neuro-marketing- co-creation of a series of experimental settings to collect neurophysiological data during viewing advertisement. The collected data included Electroencephalography (EEG) in collaboration with the University of Central Florida, Orlando and, in collaboration with the company Affectiva, data of Facial Recognition, Heartbeat rate, Eye-tracking, Electrodermal activity. - Identification of existing pattern relating viewers’ physiological responses to the effectiveness of the advertisement on sales. - Collaboration as scientific advisor for the internal Neuroscience research platform.Commodity development services- development of Data-mining and Machine learning techniques applied to weather and cocoa yield forecasting for West Africa. The model developed used weather and yield longitudinal data to produce rules of associations between weather indicators, such as temperature, sea-level pressure and rainfall, and cocoa trees indicators, such as cocoa pod count and tree canopy.

High Energy Physics and Relativistic Field Theory group Institute for Theoretical Physics at the KU LeuvenHead: Toine Van Proeyen (Antoine) This research group works in the context of modern quantum field theory especially on subjects in particle physics and cosmology. Most part of the research is related to quantum gravity, supersymmetry and string theory.During my post-doc research, we reformulated maximal D=5 supergravity in the consistent approach uniquely based on Free Differential Algebras and the solution of their Bianchi identities (= rheonomic method). This enabled us to explicitly construct the non-compact gaugings corresponding to the non--semisimple algebras CSO(p,q,r), irrespectively from the existence of a lagrangian. These theories, whose existence is proved and their supersymmetry algebra constructed hereby, have potentially interesting properties in relation with domain wall solutions and the trapping of gravity.