Linking solver characteristics, solving processes and solution attributes: A data explainer for an open innovation generated robotic design dataset.

ABSTRACT: Between 2017 and 2020, a team of researchers from the George Washington University collaborated with NASA and Freelancer.com to design and launch the "Astrobee Challenge Series," a large-scale field experiment that aimed to generate data to characterize the relationship among how a technical problem is formulated and who is able and willing to solve, and the quality of solutions they generate. The core experimental manipulation was of the architecture of the problem posed; the typical open innovation process was instrumented to collect unusually rich data but otherwise untouched. In all, 17 individual contests were run over a period of 12 months. Over the course of the challenge series, we tracked a population of 16,249 potential solvers, of which 6,219 initiated solving, and a subset of 1

SUBMITTER: Szajnfarber Z 

PROVIDER: S-EPMC10518673 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature