Sep 2026· Research Ethics· 0 citations· 36 references
CRISPR and Genetic Engineering
Abstract
First-in-human studies involving gene transfer or genome editing give rise to complex uncertainties. There is a broad acknowledgment that the current scientific guidelines should be supplemented with ethical guidance, particularly with regard to decisions about whether to initiate such trials. As a first step toward this goal, we present a three-tiered conceptual framework that operationalizes ethical principles to provide researchers with guidance on this decision. In the first “diagnostic” step, researchers are invited to identify the drivers of uncertainty in their study and to collaboratively reflect on the value judgments commonly taking place in the evidence assessment. Here, the principles of research validity and integrity are operationalized. The second “decisional” step outlines elements for the ethical deliberation about initiating a trial, formulated as benchmarking questions related to the principles of beneficence, nonmaleficence and their proportionality. The third “communicational” step offers guidance for communication about the study during planning, submission and, eventually, with potential participants, operationalizing the principles of honesty and respect for participants. This conceptual contribution is expected to stimulate further work on the relevance, practicality and adaptability of such an ethical framework in research settings characterized by complex uncertainty.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.