In this research, we focus on the role of social- and collaboration networks in producing individual-, project-, and firm-level outcomes through the combination of knowledge and skills.
We will generate new insights into the previously uncovered area of social networks within and across firm boundaries by mapping, modeling and analyzing complete social and collaboration networks in a given European city and its’ given industry. Information about co-worker relations will be collected by a large-scale survey and will match survey information to administrative datasets, taking care of privacy issues. These efforts will enable us to analyze the effect of co-worker networks at an unprecedented precision. Further, we will address how the structure of collaboration networks in creative production predicts individual or firm-level success and the success of the products. We will exploit publicly available information on patents and other collaborative products, such as movies, to assess the role of network structure in creative production.