Mastering data-intensive collaboration through the synergy of human and machine reasoning
Contemporary collaboration settings are often associated with huge, ever-increasing amounts of data, which may vary in terms of relevance, subjectivity and importance. In such settings, collective sense making is crucial for well-informed decision making. This sense making process may both utilize and provide input to intelligent information analysis tools. This workshop aims to bring together researchers and practitioners from different scientific fields and research communities to further explore (i) the synergy between human and machine intelligence, and (ii) larger issues surrounding analytical practices and data sharing practices in the above settings.