Mileva is a unique and cutting-edge machine thinking, designed by Thierry Lorho, information scientist and engineer, founding member of GMAP. Based on information theory, a quantum approach, different patterns and models, notably behavioural ones, Mileva processes any issue by confronting its specific universe with global intelligence, i.e. all the information flowing in the Internet. It is used for the analysis of complex environments and carries out prospective analyses, reveals underlying trends regarding the players’ evolution in a given area. It also detects break signals and risks of major change: i.e. black swans.
Why Mileva? Because every day, we are provided with more and more information, and we are more interconnected. As a consequence and with respect to these “big data” that we consider as a global intelligence, the Mileva’s challenge consists of extracting and analysing the relevant information across an ocean of signals and in a deluge of opinions in which emotions are formed and evolve.
Because every day, our world also becomes more dynamic and complex. Most of the challenges facing us – energy and climate issues, geo-economic and geopolitical developments, great social changes – are parts of webs of cause and effect entangled within volatile environments characterized by instability. This reality cannot be tackled either by piecemeal approaches or by linear reductionism that have been in force over the past decades. Therefore we need tools to understand the current political, economic and social processes, and to also understand the roles different players play, along with their interactions with one another. We also all need instruments enabling us to anticipate the potential major risks, which facilitate an enhanced understanding of the main players and give a robust visualisation of the possible scenarios and options.
Finally, in a world of rapid and high change, we need benchmarks to manage uncertainty. Mileva combines the scientific process with a strong technology and makes possible to build appropriate and reliable hypotheses, capable of providing a clear picture of developing and future trends. These hypotheses incorporate obstacles inherent to complexity and this human paradox inconsistent with probabilistic logic, designed by Maurice Allais – Nobel Prize in Economic science, in order to overcome them. In short, through the implementation of mathematical models, which integrate the information theory and human paradox, Mileva builds informational sets that reveal the fabric of reality.
In addition of a monitoring of the major transformations for GMAP, Mileva has provided different public and private organisations with studies. Here are some examples of these organisations and studies. Anthropological Background and Process of the Outer Space Colonization in 100 Years, in the context of the Symposium 100 Years Starship organised by NASA and DARPA (Orlando – October 2011); Mapping the Future Trends of the Sanctions Against Iran, as part of the workshop of the experts of the Sanctions Committee to the UN Security Council, co-organised by UNO and Geneva Centre for Security Policy (Geneva – February 2012); Amending the ITU Treaty: The European Positions, in Massachusetts Institute of Technology (Cambridge – November 2012), Possibility of a Cyber Space Crash in a workshop also organised by the Department of Exploration of Cyber International Relations (Cambridge – January 2014), both studies in association with Prof. Urs Luterbacher; Predicting the Likelihood of Financial Crises With the Help of Information Theory: The Case of Black Swans, for a conference at the Graduate Institute of International and Development Studies (Geneva – October 2013); Competitive and prospective studies for different companies, notably in the aerospace and water sectors.