PDF] Reproducibility via Crowdsourced Reverse Engineering: A

The significant success of reverse-engineering the important accomplishments of DeepMind's Alpha Zero exemplifies the leverage that can be achieved by a concerted effort to reproduce results. The reproducibility of scientific findings are an important hallmark of quality and integrity in research. The scientific method requires hypotheses to be subjected to the most crucial tests, and for the results to be consistent across independent trials. Therefore, a publication is expected to provide sufficient information for an objective evaluation of its methods and claims. This is particularly true for research supported by public funds, where transparency of findings are a form of return on public investment. Unfortunately, many publications fall short of this mark for various reasons, including unavoidable ones such as intellectual property protection and national security of the entity creating those findings. This is a particularly important and documented problem in medical research, and in machine learning. Fortunately for those seeking to overcome these difficulties, the internet makes it easier to share experiments, and allows for crowd-sourced reverse engineering. A case study of this capability in neural networks research is presented in this paper. The significant success of reverse-engineering the important accomplishments of DeepMind's Alpha Zero exemplifies the leverage that can be achieved by a concerted effort to reproduce results.

Growing a Workflow Language with GNU Guix - TIB AV-Portal

PDF] Reprowd: Crowdsourced Data Processing Made Reproducible

Faceting the post-disaster built heritage reconstruction process within the digital twin framework for Notre-Dame de Paris

Lost in translation: the valley of death across preclinical and clinical divide – identification of problems and overcoming obstacles, Translational Medicine Communications

PDF) Experiences in integrated data and research object publishing using GigaDB

3 The Current State of Materials Research, NSF Efforts to Achieve the Nation's Vision for the Materials Genome Initiative: Designing Materials to Revolutionize and Engineer Our Future (DMREF)

Abstract Book – 9th European Academy of Forensic Science Conference by NFC, Polismyndigheten - Issuu

PDF) Exploring Crowdsourced Reverse Engineering

Common Motifs in Scientific Workflows: An Empirical Analysis