Our mission: to promote information transparency as a means to foster scientific advancement and positive social change
Data does not equal information if not shared and understood. We believe in making complex information simple and transparent. Transparency can promote awareness, accountability and better decision-making. These concepts are at the core of all we do, from research and modeling studies, to the development of visualization tools, capacity building projects and strategies for scientific and social advancement.
CYNTHIA SCHUCK-PAIM, PHD
Cynthia received her PhD from Oxford, which was developed at the interface of Evolutionary Biology and Experimental Economics. Her PhD was followed by a research fellowship at Oxford, where she specialized in data analysis and biostatistics, as well as by various research projects for institutions in the UK, USA and Brazil. As a scientist Cynthia published a number of articles on subjects ranging from evolutionary biology and infectious disease epidemiology to the mathematical modeling of spatial distributions based on climate. She was an invited speaker in conferences in various countries and has taught data analysis and experimental design in the UK and Brazil for several years. In 2005, Cynthia co-founded Origem. Since then she has been involved on several research projects in global health, health metrics and sustainability. Cynthia has also worked as a specialist in scientific capacity building in the biological, agricultural and medical sciences, having taught hundreds of university students and researchers. She is an associate researcher at University of Sao Paulo, and a consulting scientist for Sage Analytica, a D.C. based company specialized in global health.
WLADIMIR J ALONSO, PHD
Wladimir received his PhD in Epidemiology from Oxford. His contributions to both basic and applied science are reflected in over 2,000 citations of articles published in major scientific journals. Since 2006, as a Research Fellow at the Fogarty International Center (NIH), his work is concentrated in global health research. Wladimir pioneered the analyses of latitudinal gradients of seasonal parameters of diseases (later adopted by the US CDC, the World Health Organization and other institutions) and the analyses that revealed that the annual vaccination of influenza is administered at the wrong time in the tropics. His efforts in translating epidemiological knowledge into more effective public health decisions also led to the publication of various studies and development of recommendations for the 2009 H1N1 influenza pandemic and other public health emergencies. Within the basic sciences, Wladimir was the first author to question the theory of kin selection for the evolution of biological altruism, and the first to identify important design flaws in several experiments influential to strategies of disease control. He has also lead and/or collaborated in studies in several other fronts: from ecological and cognitive investigations, to studies on historical epidemiology and on the drivers of scientific excellence. Wladimir is also an enthusiastic and inspiring lecturer. His workshop on time-series analysis and data visualization, taught at several countries, uses an award winning software of his authorship, which has been made freely available and is currently used by epidemiologists and health researchers around the globe.
For the development of our projects, we have successfully partnered with a broad network of international collaborators from different countries and institutions, see more here.