Within this project, in addition to the implementation of consolidation mechanisms for the traditional research directions of INCD GeoEcoMar, provided for in the Institutional Development Strategy, it is envisaged the stimulation of the emergence of new directions and research topics, fields that respond to current challenges at a global level and to use the new technologies currently available for the researchers, thus:
the balanced development of the RDI staff with teams of INCD GeoEcoMar specialists, in the fields related to the institute's main direction of research-development-innovation, the study of old and current marine-coastal-deltaic and fluvial systems;
the development of the specialization process in the narrow geological, ecological, biological, geochemical and geophysical subfields, in parallel with training in interdisciplinary fields (including innovation management, research marketing, intellectual property);
specializations for carrying out multidisciplinary analyzes of emerging pollutants in the Danube - Danube Delta - Black Sea system (eg microplastics, substances with a harmful impact on organisms);
the development of innovation activity, by making inventions related to devices, equipment and methods, useful in various research directions of the institute, e.g.: seismoacoustics, magnetometry, gravimetry, mineralogy, paleontological studies, sedimentology, pollution in the coastal, deltaic and fluvial areas , geoarchaeology;
deepening the concept of "green" protection against floods and/or erosion;
the development of research in bioinformatics analysis, with applications in molecular biology and Environmental DNA (eDNA) for the purpose of investigating aquatic communities;
specializations in integrated investigations in the fields of geology, geophysics and biogeochemistry for the analysis of processes and phenomena that take place in the abyssal part of the Black Sea;
expansion of archaeogeophysics studies in the submarine field;
because in INCD GeoEcoMar a large amount of data is acquired through the specific activities, it is necessary to analyze large data flows; therefore, knowledge will be improved in the following areas:
methods of ordering and obtaining statistical information;
data quality assessment;
management of data gaps;
data grouping operations;
methods applicable to calendar date data.