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In a research-intensive environment, data scientists contribute to real-world problems in public health, education, sustainable energy, climate change, economic development, and many more areas of trans- and interdisciplinary research. Working on data mining or machine learning, on big data and data science projects with social impact, there is limited empirical evidence to demonstrate their contribution. New research impact measures are required for the evaluation of data science in support of social challenges that might include strategic value, significant change, empowerment, livelihoods, and sustainability. This conference will explore the practice, principles and opportunities of data science in knowledge production and decision-making for societal benefit.

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