Related Experiment Video
Updated: Sep 1, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
Role of machine and organizational structure in science
Moe Kyaw Thu1, Shotaro Beppu2, Masaru Yarime1,3
1Graduate School of Public Policy, The University of Tokyo, Tokyo, Japan.
Abstract:
The progress of science increasingly relies on machine learning (ML) and machines work alongside humans in various domains of science. This study investigates the team structure of ML-related projects and analyzes the contribution of ML to scientific knowledge production under different team structure, drawing on bibliometric analyses of 25,000 scientific publications in various disciplines. Our regression analyses suggest that (1) interdisciplinary collaboration between domain scientists and computer scientists as well as the engagement of interdisciplinary individuals who have expertise in both domain and computer sciences are common in ML-related projects; (2) the engagement of interdisciplinary individuals seem more important in achieving high impact and novel discoveries, especially when a project employs computational and domain approaches interdependently; and (3) the contribution of ML and its implication to team structure depend on the depth of ML.
Related Concept Videos
Introduction to Structures
There are three main...
Structural Organization of the Human Body: An Overview
To study the chemical level of organization, scientists consider the simplest building blocks of matter: subatomic particles, atoms, and molecules. All matter in the universe is composed of one or more unique pure substances called elements, familiar examples of...
Protein Organization
The primary structure of a protein is its amino acid sequence....
Machines
A free-body diagram of the...
Mechanical Efficiency of Real Machines
However, in reality, no machine can be truly ideal, and all of them experience some...
Machines: Problem Solving II

