Does Productive Mean Active? The Behavior of Occasional and Serial Academic Inventors in Patenting Processes

Previous literature has attributed differences in individuals’ inventive productivity to a range of environmental, organizational and individual traits. However, the behavior of individuals with different inventive productivity has not been empirically explored in detail. Based on interviews with twenty Swedish academic inventors of diverse patenting experience, this paper analyses how serial and occasional inventors acted in patent initiation, patent application and subsequent patent management for specific inventions. Two modes of behavior are identified: passive and active. Individuals’ inventive productivity was not aligned with behavioral mode, with both modes of behavior exhibited by occasional as well as serial academic inventors. Individual academic inventors also varied in mode of behavior across different patent processes. These findings suggest that commonly used volume-based classifications of academic inventors obscure potentially relevant behavioral differences. This insight has implications for contemporary policy and organizational practice. It also highlights the need for further investigation of when academic inventors assume an active or passive mode of behavior in processes of academic commercialization.

Collective motion as a distinct behavioral state of the individual

Collective motion is an important biological phenomenon, ubiquitous among different organisms. Locusts are a quintessential example of collective motion: while displaying a minimal level of cooperation between individuals, swarms of millions are highly robust and persistent. Using desert locusts in a series of carefully controlled laboratory experiments, we show that locust coordinated marching induces a distinct behavioral mode in the individual that we term a “collective-motion-state”. Importantly, this state is not induced by aggregation or crowding per-se, but only following collective motion. It is manifested in specific walking behavior kinematics and has a lasting effect. Simulations confirm that the collective-motion-state provides an individual-based mechanism, which increases the robustness and stability of swarms in the presence of fluctuations. Overall, our findings suggest that collective-motion is more than an emergent property of the group, but a specific behavioral mode that is rooted in endogenous biological mechanisms of the individual.

Shape-programmed 3D printed swimming microtori for the transport of passive and active agents

Through billions of years of evolution, microorganisms mastered unique swimming behaviors to thrive in complex fluid environments. Limitations in nanofabrication have thus far hindered the ability to design and program synthetic swimmers with the same abilities. Here we encode multi-behavioral responses in microscopic self-propelled tori using nanoscale 3D printing. We show experimentally and theoretically that the tori continuously transition between two primary swimming modes in response to a magnetic field. The tori also manipulated and transported other artificial swimmers, bimetallic nanorods, as well as passive colloidal particles. In the first behavioral mode, the tori accumulated and transported nanorods; in the second mode, nanorods aligned along the toriʼs self-generated streamlines. Our results indicate that such shape-programmed microswimmers have a potential to manipulate biological active matter, e.g. bacteria or cells.

Herd Those Sheep: Emergent Multiagent Coordination and Behavioral-Mode Switching

Effectively coordinating one’s behaviors with those of others is essential for successful multiagent activity. In recent years, increased attention has been given to understanding the dynamical principles that underlie such coordination because of a growing interest in behavioral synchrony and complex-systems phenomena. Here, we examined the behavioral dynamics of a novel, multiagent shepherding task, in which pairs of individuals had to corral small herds of virtual sheep in the center of a virtual game field. Initially, all pairs adopted a complementary, search-and-recover mode of behavioral coordination, in which both members corralled sheep predominantly on their own sides of the field. Over the course of game play, however, a significant number of pairs spontaneously discovered a more effective mode of behavior: coupled oscillatory containment, in which both members synchronously oscillated around the sheep. Analysis and modeling revealed that both modes were defined by the task’s underlying dynamics and, moreover, reflected context-specific realizations of the lawful dynamics that define functional shepherding behavior more generally.