Angel Sánchez received his PhD in Theoretical Physics (with distinction) from Universidad Complutense de Madrid, Spain, in 1991. He then went on to a postdoctoral stay at Los Alamos National Laboratory, USA, as a Fulbright fellow. Currently, he is full professor of Applied Mathematics at Universidad Carlos III de Madrid, where he founded the Interdisciplinary Group in Complex Systems (GISC, www.gisc.es) in 1996, and also an associated researcher with Instituto de Biocomputación y Física de Sistemas Complejos (BIFI) from Universidad de Zaragoza. He is President of the Asociación Madrileña de Ciencias de la Complejidad (www.complejimad.org). He has co-authored almost 150 papers in prestigious international journals, receiving about 3700 citations (h=34), and he has been an invited speaker at about 50 national and international conferences. His research deals mostly with the applications of the physics of complex systems to social and biological sciences, and has contributed to the advancement of different fields ranging from economics to condensed matter physics through ecology and theoretical computer science.
Nunes Nuno, “The role of the International Organization for Migration in the Mediterranean crisis”
Nunes Nuno is the Global Camp Coordination and Camp Management (CCCM) Cluster Coordinator and the Global Displacement Tracking (DTM) Coordinator at the International Organization for Migration (IOM), where he is leading the unit that oversees global implementation of displacement tracking and field data collection in emergencies. Working with partners at different levels of the private sector, civil society, academia and international organizations, and through the coordination of CCCM’s preparedness, prevention, and protection initiatives in natural disasters, Nuno is responsible for the organizations’ efforts toward building collaborative approaches to management of displaced populations. He has been managing the team involved in the design and implementation of mobility tracking operations. Recent developments include components on ethics in humanitarian data; citizen driven assistance; and accountability through responsible use of existing data.