Abstract:
Available data regarding environmental sciences represents an extremely
complex set of inputs since that field of science became one of the most
dynamic areas of scientific research. Data science has a huge impact on
environmental analysis, offering an abundant scope of new techniques that
are used to understand even the most seldom environmental processes.
There is no doubt that it is a multidisciplinary challenge because it deals with
many fields such as statistics, artificial intelligence, social sciences, psychology,
economics, health, etc. Environmental studies forced societies to try to
answer questions regarding processes of climate change, human pressures,
negative impacts on land, water, and air quality, energy efficiency, health, and
food safety, biodiversity and many other aspects. In order to answer those
questions, the results of qualitative data analysis must be taken into account
when assessing the situation and defining measures for the improvement
of particular ecosystems. The aim of this paper is to emphasize a necessity
for qualitative data collecting and analyzing through presentation of some
assessment examples aimed to define importance of social dimensions in
environmental sustainability.
CITATION:
IEEE format
F. Alimpić, M. Adžemović, J. Milovanović, “The Challenges of Qualitative Data Synthesis for Socio-Environmental Assessments,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 65-69. doi:10.15308/Sinteza-2020-65-69
APA format
Alimpić, F., Adžemović, M., Milovanović, J. (2020). The Challenges of Qualitative Data Synthesis for Socio-Environmental Assessments. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-65-69