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Master thesis with the goal of taking new data sources and methods from the periphery of R&I policy to its core
Friday, 05. January 2018
Contact: Knut Blind .
Big data and data analytics offer significant opportunities to transform Research and Innovation (R&I) policy with a new generation of more relevant, inclusive and timely indicators than those already available, potentially enabling better decisions with bigger (and better measured) impacts. However, concerns about the representativity, accuracy and interpretability of new data sources and methods is slowing down their acceptance. We are offer Master thesis with the goal of taking new data sources and methods from the periphery of R&I policy to its core. Especially, we are interested in agile R&I analytics data pilots.