  Coordinated collective action refers to the synchronized action of agents
towards achieving a predefined set of goals. Such activity is at the core of a
wide range of social challenges, from organizational dynamics to team
performance. Focusing on the latter, a novel dataset that captures the planned
efforts to deliver a large-scale, engineered system is introduced. In detail,
this dataset is composed of a total of 271 unique individuals, responsible for
the delivery of a total of 721 tasks spread across a period of 745 days. The
focus of this analysis is on the collaboration network between individuals,
captured by their co-assignment in the delivery of particular tasks, and their
dynamical patterns. Results indicate that the delivery of some tasks depends on
disproportionately large collaborations, making them intrinsically harder to
manage compared to tasks which depend on small, or no, collaborations.
Similarly, some tasks require a disproportionately diverse set of skills to be
completed, further enhancing their intrinsic complexity. Shifting focus to the
topology of the contribution network, an abrupt emergence, and subsequent
contraction, of a single large cluster is observed. This phenomenon corresponds
to the emergence of an increasingly large and cohesive team, and its subsequent
decomposition. In addition, the evolution of this cluster tightly follows the
number of active tasks, suggesting that large teams are a natural way to
respond to increased workload. These findings provide new insight on the
underlying team dynamics that govern coordinated collective activity in
general, and in the context of project delivery specifically.
