The Supplement to Nature Index: Methodology and Functions available for free on Nature Index.com Using a Natural Language Model to Monitor the Growth of Artificial Intelligence
There is a description of the methodology used in the supplement and a guide to the functions that are available for free on natureindex.com.
Count and Share are used to track research output. A country/territory or an institution is given a Count of 1 for each article that has at least one author from that country/territory or institution. This is the case regardless of the number of authors an article has, and it means that the same article can contribute to the Count of multiple countries/territories or institutions.
The variation in the total number of articles in the Nature Index journals is known as adjusted share. It is done by taking the number of articles in the index in a given year and dividing it by the number in the base year to get the percentage difference.
The bilateral collaboration score (CS) between two institutions A+B is the sum of each of their Shares on the papers to which both have contributed. Any two institutions and any one country can co-author an article in one of the journals tracked by the Nature Index.
Each query will return a profile page that lists the country or institution’s recent outputs, from which it is possible to drill down for more information. Articles can be displayed by journal, and then by article. Research outputs are organized by subject area. The pages list the institution or country’s/territory’s top collaborators, as well as its relationship with other organizations. Users can track an institution’s performance over time, create their own indexes and export table data.
The top institutions in artificial intelligence are shown in the tables in the supplement based on the change in output from the year before to the year after. Nature Index output is measured by article Share and Dimensions output is measured by the number of publications. More institution tables are based on the Nature index data.
It has been less than two years since Nature Index last looked at research data on artificial intelligence (AI), but it is a demonstration of the breathtaking speed of the field’s growth that it is now firmly rooted in the public’s consciousness as the technological revolution of our time. The launch of ChatGPT in November 2022 was a watershed moment, immediately raising questions about how large language models (LLMs) would transform society, especially the world of work.
Research is just one area scrambling to understand the potential impact of AI technologies. In this supplement we investigate how artificial intelligence might be used to evaluate studies and research, as many fear it could increase the burden of assessment. There are a lot of questions regarding the role of academia as Artificial Intelligence takes hold given the fact that current progress is driven by powerful companies with a commercial interest in keeping their research and data secret. Lobbyists are making it hard for governments to regulate consumer regulation because of big tech’s hold on AI.
