Adopting Safe-by-Design in Science and Engineering Academia: The Soil May Need Tilling.

Int J Environ Res Public Health

Athena Institute, Faculty of Science, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.

Published: February 2022

In recent years, Safe-by-Design (SbD) has been launched as a concept that supports science and engineering such that a broad conception of safety is embraced and structurally embedded. The present study explores the extent to which academics in a distinctively relevant subset of science and engineering disciplines are receptive towards the work and teaching practices SbD would arguably imply. Through 29 interviews with researchers in nanotechnology, biotechnology and chemical engineering differences in perceptions of safety, life-cycle thinking and responsibility for safety were explored. Results indicate that although safety is perceived as a paramount topic in scientific practice, its meaning is rigorously demarcated, marking out safety within the work environment. In effect, this creates a limited perceived role responsibility vis-à-vis safety in the production of knowledge and in teaching, with negligible critical consideration of research's downstream impacts. This is at odds with the adoption of a broader conception of, and responsibility for, safety. The considerations supporting the perceived boundaries demarcating scientific practice are scrutinized. This study suggests that implementing SbD in academia requires systemic changes, the development of new methods, and attention for researchers' and innovators' elementary views on the meaning of and responsibility for safety throughout the innovation chain.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871639PMC
http://dx.doi.org/10.3390/ijerph19042075DOI Listing

Publication Analysis

Top Keywords

science engineering
12
responsibility safety
12
safety
8
scientific practice
8
adopting safe-by-design
4
safe-by-design science
4
engineering
4
engineering academia
4
academia soil
4
soil tilling
4

Similar Publications

Deep learning in integrating spatial transcriptomics with other modalities.

Brief Bioinform

November 2024

State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2 Sipailou, Xuanwu District, Nanjing 210096, China.

Spatial transcriptomics technologies have been extensively applied in biological research, enabling the study of transcriptome while preserving the spatial context of tissues. Paired with spatial transcriptomics data, platforms often provide histology and (or) chromatin images, which capture cellular morphology and chromatin organization. Additionally, single-cell RNA sequencing (scRNA-seq) data from matching tissues often accompany spatial data, offering a transcriptome-wide gene expression profile of individual cells.

View Article and Find Full Text PDF

Combination therapies have emerged as a promising approach for treating complex diseases, particularly cancer. However, predicting the efficacy and safety profiles of these therapies remains a significant challenge, primarily because of the complex interactions among drugs and their wide-ranging effects. To address this issue, we introduce DD-PRiSM (Decomposition of Drug-Pair Response into Synergy and Monotherapy effect), a deep-learning pipeline that predicts the effects of combination therapy.

View Article and Find Full Text PDF

CellMsg: graph convolutional networks for ligand-receptor-mediated cell-cell communication analysis.

Brief Bioinform

November 2024

College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.

The role of cell-cell communications (CCCs) is increasingly recognized as being important to differentiation, invasion, metastasis, and drug resistance in tumoral tissues. Developing CCC inference methods using traditional experimental methods are time-consuming, labor-intensive, cannot handle large amounts of data. To facilitate inference of CCCs, we proposed a computational framework, called CellMsg, which involves two primary steps: identifying ligand-receptor interactions (LRIs) and measuring the strength of LRIs-mediated CCCs.

View Article and Find Full Text PDF

Single-cell multi-omics techniques, which enable the simultaneous measurement of multiple modalities such as RNA gene expression and Assay for Transposase-Accessible Chromatin (ATAC) within individual cells, have become a powerful tool for deciphering the intricate complexity of cellular systems. Most current methods rely on motif databases to establish cross-modality relationships between genes from RNA-seq data and peaks from ATAC-seq data. However, these approaches are constrained by incomplete database coverage, particularly for novel or poorly characterized relationships.

View Article and Find Full Text PDF

The human skin and oral cavity harbor complex microbial communities, which exist in dynamic equilibrium with the host's physiological state and the external environment. This study investigates the microbial atlas of human skin and oral cavities using samples collected over a 10-month period, aiming to assess how both internal and external factors influence the human microbiome. We examined bacterial community diversity and stability across various body sites, including palm and nasal skin, saliva, and oral epithelial cells, during environmental changes and a COVID-19 pandemic.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!