About

The future of data science not only exceeds the boundary of recent statistical theories but is revolutionizing the current structure of academia and research paradigms. The impact of data science on the development of life sciences will continue to expand tremendously in the coming decades. The consequence is a growing capacity for research to provide insights into human biology and yield significant new understanding of human behavior. We are also facing tremendous development and growth of databases, creating opportunities as well as new challenges unknown to the scientific community and society at large before the age of big data. New methods of collecting and analyzing data may allow large improvements in health outcomes, among other reasons since medical therapeutic and diagnostic services offered to individual patients begin to merge the knowledge and practices of population and precision medicine. Continuous progress in life-sciences, medicine and biotechnology have provided us with access to new ways of treating, preventing and even curing human diseases. As the impact of these advancements on individuals, communities, and societies grows, so does the importance of bioethics, a field which emerged about fifty years ago. Through both a theoretical and a practical endeavor, bioethics allows us to discuss and understand our deep moral concerns, fears, and hopes regarding the impact of data science, artifical inteligence and machine learning on the medical sciences and biotechnological advancements on our lives.

 

Dubrovnik-Old-Town

                 Dubrovnik International Bioethics and Science

            2019 Conference "Data Science and Right to Science" 

Scholars from a variety of disciplines and across the globe are involved in the research of ethical dilemmas at the intersection of data science and life sciences. The organizers of the Data Science and the Right to Science Conference are aiming to develop a formatted interdisciplinary dialog between social, behavioral, and life scientist coming from a variety of disciplines (biology, bioinformatics, genetic medicine and neurosciences, sociology, psychology, bioethics and philosophy) to discuss, with representatives of international organizations and governments as well as other actors, including civil society movements, research networks and corporations, the possibility of a new framework for big data research. An interdisciplinary dialog is needed because modern data science itself adopts techniques and theories drawn from many fields within life sciences and behavioral sciences, used together with methods from statistics, computer science, and more narrowly, machine learning. The Conference will address different data science problems in the context of the emerging capacities of data science in general and of the artificial intelligence, machine learning in particular to provide greater access to knowledge and technologies to global society. The conference aims at an interdisciplinary debate, especially between: applied mathematics, epidemiology, clinical medicine and public health, law, philosophy, sociology, and political sciences, psychology, psychiatry, and behavioral sciences. The goal of the Dubrovnik International Bioethics Summer School is to provide interested students and professionals with information pertaining to different aspects and relations between data science and the right to science encouraging international debates and improving the international regulations and institutional and social capacities to promote and applies equal right to science.
Please click here for more details about the program.

 

The Inter-University Centre (IUC), is an independent, autonomous academic institution with a mission to promote international co-operation between academic institutions throughout the world.

The University of Zagreb School of Medicine: The mission of the School of Medicine, 100 years old institution, is based on scientific and artistic research and aims at sustainable development, artistic creativity, and professional work as well as organization and performance of university studies.