Professors of RUDN University Institute of Law participated in the annual European Environmental Legal Forum 2017
Professors of RUDN University Institute of Law participated in the annual European Environmental Legal Forum conference 2017, which was organized as a joint effort of the European Environmental Law Forum (EELF), the Nordic Environmental Law, Governance & Science Network (NELN+), the University of Copenhagen (Faculty of Science) and Aarhus University (School of Law). The Copenhagen conference was dedicated to the sustainable management of natural resources and the role of different legal approaches and instruments. Sustainable management of natural resources such as water, biodiversity and air remains a key concern at EU as well as national level.
The Forum was attended by young scientists and well-known all over the world scientists, specializing in national environmental law, European environmental law and international environmental law, such as:
Klaus Bosselmann, Professor of Law, University of Auckland and director of the New Zealand Centre for Environmental Law.
Hans Bruyninckx, Executive director of the European Environment Agency.
Ludwig Krämer, Director of Derecho y Medio Ambiente, Madrid and senior lawyer. Ludwig Krämer served as the European Commission's Chief Counsel on the environment, successively responsible of legal and enforcement issues, waste management and environmental sustainability.
Marie-Claire Cordonier Segger, Professor of law, University of Waterloo and Senior Director of Centre for International Sustainable Development Law (CISDL).
On August 31, within the framework of the section on Arctic problems, Ph.D., Associate Professor of RUDN University International Law Department Solntsev A.M . together with Ph.D., Senior Researcher of the Scientific Research Center for Ecological Safety at the Russian Academy of Sciences, St. Petersburg, A.V. Kodolova made a report «Legal problems of the restoration of disturbed territories in the Arctic zone of the Russian Federation».
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.