All Citations Aren’t Created Equal

“Indeed, when we as researchers first look at a paper, we look at where it was published, who are the authors and where are they from, and some metrics like downloads, reads, and of course, citations. Most of this information is superficial, contributing no real useful information to understanding the research. Even citations, as used today, are mostly used as a number to make a quick assessment of the work, where the higher the number of citations an article has, the better.

However, citations represent a wealth of information. Behind each of the 41 articles that cite my work are years of directly related research and many thousands, if not millions, of dollars of research funding. But if I want to learn what these articles say about my work, I would need to read each of them. This is so impractical that it is effectively never fully done.

We’re changing that at scite, a new platform that uses deep learning to show how an article has been cited and, specifically, if it has been supported or contradicted, where the citations appear in the citing paper, and if it is a self-cite or a citation from a review or article. In short, we want to make citations smart–citations that not merely tell how many times an article is cited, but also provide the context for each citation and the citation meaning, such as whether it provides supporting or contradicting evidence for the cited claim. …”

Frontiers | Opportunities in Open Science With AI | Big Data

“This article examines the current trends and elaborates the future potentials of AI in its role for making science more open and accessible. Based on the experience derived from a research project called Microsoft Academic, the advocates have reasons to be optimistic about the future of open science as the advanced discovery, ranking, and distribution technologies enabled by AI are offering strong incentives for scientists, funders and research managers to make research articles, data and software freely available and accessible….”

SUPP.AI by AI2

“Dietary and herbal supplements are popular but unregulated. Supplements can interact or interfere with the action of prescription or over-the-counter medications. Currently, it is difficult to find accurate and timely scientific evidence for these interactions.

To solve this problem, Supp.AI automatically extracts evidence of supplement and drug interactions from the scientific literature and presents them here….

To find out more about this work, please read our publication….

Supp.AI is a free service of the non-profit Allen Institute for AI….”

Transforming the culture of data science | The Alan Turing Institute

“The crisis of reproducibility in science is well known. The combination of ‘publish or perish’ incentives, secrecy around data and the drive for novelty at all costs can result in fragile advances and lots of wasted time and money. Even in data science, when a paper is published there is generally no way for an outsider to verify its results, because the data from which the findings were derived are not available for scrutiny. Such science cannot be built upon very easily: siloed science is slow science.

That’s one of the reasons funders and publishers are beginning to require that publications include access to the underlying data and analysis code. It’s clear that this new era of data science needs a new cultural and practical approach, one which embraces openness and collaboration more than ever before. To this end, a group of Turing researchers have created The Turing Way – an evolving online “handbook” on how to conduct world-leading, reproducible research in data science and artificial intelligence….”

$100M health initiative aims to democratize data science | Devex

“On Wednesday, the Rockefeller Foundation announced a new effort to prevent 6 million maternal and child deaths in 10 countries by 2030.

Launched on the sidelines of the United Nations General Assembly, and on the heels of the U.N. High-Level Meeting on Universal Health Coverage, the $100 million Precision Public Health initiative aims to ensure that frontline health workers have access to data science tools such as predictive analytics, artificial intelligence, and machine learning….”

$100M health initiative aims to democratize data science | Devex

“On Wednesday, the Rockefeller Foundation announced a new effort to prevent 6 million maternal and child deaths in 10 countries by 2030.

Launched on the sidelines of the United Nations General Assembly, and on the heels of the U.N. High-Level Meeting on Universal Health Coverage, the $100 million Precision Public Health initiative aims to ensure that frontline health workers have access to data science tools such as predictive analytics, artificial intelligence, and machine learning….”

CORE and FOAMres • LITFL • Open Access

“CORE (core.ac.uk) offers free access to millions of research papers and host the world’s largest collection of open access full texts. CORE is a not-for-profit service delivered by The Open University and Jisc

CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. CORE facilitates free unrestricted access to research for all and aims to:

support the right of citizens to access research, free of charge
contribute to a cultural change by promoting open access, the fast-growing movement for good,
work collaboratively to support both content consumers and content providers
use artificial intelligence and machine learning techniques to enrich and organise research content and support users in discovering knowledge of their interest….”

Re-educating Rita – Education and policy

“The fact that Udacity, Coursera and edX all emerged from AI labs highlights the conviction within the AI community that education systems need an overhaul. Mr Thrun says he founded Udacity as an “antidote to the ongoing AI revolution”, which will require workers to acquire new skills throughout their careers. Similarly, Mr Ng thinks that given the potential impact of their work on the labour market, AI researchers “have an ethical responsibility to step up and address the problems we cause”; Coursera, he says, is his contribution. Moreover, AI technology has great potential in education. “Adaptive learning”—software that tailors courses for each student individually, presenting concepts in the order he will find easiest to understand and enabling him to work at his own pace—has seemed to be just around the corner for years. But new machine-learning techniques might at last help it deliver on its promise….”