AIMC Topic: Science

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Quality of science journalism in the age of Artificial Intelligence explored with a mixed methodology.

PloS one
Science journalists, traditionally, play a key role in delivering science information to a wider audience. However, changes in the media ecosystem and the science-media relationship are posing challenges to reliable news production. Additionally, rec...

REFORMS: Consensus-based Recommendations for Machine-learning-based Science.

Science advances
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability. These failures can hinder scientific progress, lead to...

Large language models for science and medicine.

European journal of clinical investigation
Large language models (LLMs) are a type of machine learning model that learn statistical patterns over text, such as predicting the next words in a sequence of text. Both general purpose and task-specific LLMs have demonstrated potential across diver...

AI is transforming how science is done. Science education must reflect this change.

Science (New York, N.Y.)
There is growing interest in the use of artificial intelligence (AI) in science education. Many issues and questions raised about the role of AI in science education target primarily science learning objectives. They relate to AI's capacity to genera...

Accelerating science with human-aware artificial intelligence.

Nature human behaviour
Artificial intelligence (AI) models trained on published scientific findings have been used to invent valuable materials and targeted therapies, but they typically ignore the human scientists who continually alter the landscape of discovery. Here we ...

Article-level classification of scientific publications: A comparison of deep learning, direct citation and bibliographic coupling.

PloS one
Classification schemes for scientific activity and publications underpin a large swath of research evaluation practices at the organizational, governmental, and national levels. Several research classifications are currently in use, and they require ...

Predicting innovative firms using web mining and deep learning.

PloS one
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, g...

The logic of domains.

Social studies of science
The logic of domains has become a key organizing principle for contemporary computing projects and in broader science policy. The logic parses collectives of expertise into 'domains' that are to be studied or engaged in order to inform computational ...

Deep Neural Networks as Scientific Models.

Trends in cognitive sciences
Artificial deep neural networks (DNNs) initially inspired by the brain enable computers to solve cognitive tasks at which humans excel. In the absence of explanations for such cognitive phenomena, in turn cognitive scientists have started using DNNs ...

Liquid-handling Lego robots and experiments for STEM education and research.

PLoS biology
Liquid-handling robots have many applications for biotechnology and the life sciences, with increasing impact on everyday life. While playful robotics such as Lego Mindstorms significantly support education initiatives in mechatronics and programming...