B·Debate to hold top-notch international scientific debates in 2014
More than 200 world-renowned experts will participate in the 2014 program, furthering B·Debate’s goal to promote collaboration and the exchange of initiatives and knowledge.
09/03/2014
The program, has been selected from submissions to the 2014 call for proposals by the B·Debate Scientific Committee. The selection process takes into account both the scientific relevance and social interest of the challenges posed, their potential to raise awareness of the knowledge and contents generated during the debates and to obtain solutions that address society’s needs. They have also considered the multidisciplinary nature of the topics and the international impact of the activity.
The 2014 B·Debate program of activities will kick off on 14 May with a series of conferences on the key role algorithms play in developing our knowledge-based economic model. This is a series open to the general public, which the B·Debate program combines with restricted-access scientific debates. A second open series devoted to bioethics is also expected for 2014.
Regarding the scientific debates, the topics B·Debate will cover in 2014 include different areas of biomedical research, like epigenetics and cancer (October) to generate new predictive, diagnostic and personalized-therapy tools to treat different types of cancer. The debates will also explore the horizons opened up through personalized respiratory medicine (June), focusing on the individual respiratory pathologies of each patient and adapting treatment to the specific biological characteristics of each person. They will discuss the challenges and opportunities being generated through biomedical big data (November) to improve knowledge on the cycle of diseases and to improve transfer to clinical applications. In epidemiology and the environment, sessions will analyze the impact the environment during childhood on the neurodevelopment of the brain (October), and the influence of climate on the development of various city models and the effects on the population’s health.