Recent technology allows for the
collection of massive volumes of data. The challenge of
transforming these data into valuable and actionable
information is an activity known as big data (or data
science). These datasets are not only huge, but complex,
including unstructured, heterogeneous data, image, video,
human language, and hence entirely innovative approaches are
needed to handle them. Big data analytics is an enormous
worldwide research effort aimed at taking the guesswork out
of decision making in society.
Data Science is an emerging discipline that combines data
management, machine learning, data analysis, artificial
intelligence, data visualization and user experience design
to big data.
At the Big Data @ Vestlandsforsking, we take this deluge of
data and make sense of it. We explore ways about how best to
use it for the benefit of society. We process and use
information to empower better decision making for citizen,
society and business. Moreover, we concerned with the study
of different aspects of data science – seen as a
crucial scientific discipline – and develop methods,
tools and applications for its effective deployment in real
world problems. From an application point of view, we are
concerned with a variety of problems, ranging from smart
cities, to emergency management, to social content
monitoring, to social engagement.
In parallel, our research also addresses prominent issues
around privacy, data protection and ethics, in order to
apply big data to solve challenging problems for society.
Big Data @ Vestlandsforsking supports international,
national and regional collaboration and knowledge transfer
in this field.
Leveraging Big Data for Managing Transport
Professor Rajendra Akerkar
His primary domain of activities is big data and
semantic technologies with aim to combine strong
theoretical results with high impact practical
results. His recent research focuses on application of
big data methods to real-world challenges such as
urban mobility and emergency management, and social
media analysis in a wide set of semantic dimensions.
He has extensive experience in managing research and
development projects funded by both industry and
funding agencies, including the EU Framework Programs
and the Research Council of Norway. He is actively
involved in several international ICT initiatives, and
research & development projects for more than 18
years. In 2010, he has initiated worldwide network on
Intelligence, Mining and Semantics. He has
authored/co-authored 14 books, around 124 research
papers, co-edited 2 e-Books and edited 14 volumes of
international conferences and workshops. He edited a
comprehensive reference book: 'Big Data Computing' in 2013. In
2016, he has co-authored a textbook entitled 'Intelligent Techniques for Data
Science' with Springer International Publishing.