“The aim of the SCOLIA (SChOLarly Information Access) workshop, following the successful BIR workshop series, is to bring together researchers and practitioners from Information Retrieval (IR), Natural Language Processing (NLP), and Scientometrics/Bibliometrics who are working on the analysis of scientific/scholarly documents.”
about the changing meaning of “responsible” internationalisation in higher education, research and innovation, in EU policy and elsewhere, from a means to address global societal challenges toward prioritising national security and economic competitiveness
Rossella Arcucci, leading the Data Learning Group at Imperial College London, in her post about this paper on LinkedIn, January 2025:
“The first paper published in 2025 by the Data Learming group is a service to the growing community of data scientists who face (and mitigate) challenges when working with real-world data.
For the data to be considered high quality, it must be: an Accurate reflection of the real world scenario, comprehensively Complete information, from a Reliable source, containing Relevant information and temporally relevant in it’s Timeliness.
This usually happens only in our dreams!!!
In reality… it is vital that methods which mitigate these shortfalls are further developed and implemented to alleviate the effects of data deficiencies.
This paper aims to serve as a guide for data scientists looking to identify, understand and mitigate the problems they may encounter as a result of using real world data.“
“The paper highlights the central themes of self-organization, emergence, and the interplay between physical, informational, and biological processes” and “situates life as an emergent phenomenon shaped by interactions across scales, proposing a unified framework for understanding complexity in the natural world.”
(Gordana Dodig-Crnkovic, preprint, November 25, 2024)
I agree that unintended consequences should always be a concern. The author seems open to discussion about this (I want to start a conversation about the need for dedicated investment in error detection and correction. There are alternatives to bug bounties — for instance, making error detection its own viable career path and hiring full-time scientific staff to check each institute’s papers.).
the first published error report of the project (Estimating the Reliability and Robustness of Research, ERROR), on
Wessel, J. (2018). Prepotent motor activity and inhibitory control demands in different variants of the go/no-go paradigm),
including an author response, can be found here:
https://doi.org/10.31234/osf.io/8gtz2
contains 88 papers on principles governing open, out-of-equilibrium systems that are self-organizing or selected, each with an introduction highlighting perdurable contributions and new ideas spawned, and annotations underscoring critical insights,
sadly print-only, but tables of contents might be interesting in itself
https://www.foundationalpapersincomplexityscience.org/tables...
Recent articles citing the mid 2023 paper “Getting pwn'd by AI: Penetration Testing with Large Language Models” that ends its ”Final ethical considerations” section with ”Attacks will use LLMs … Defenders need to be prepared for that …”