At the heart of CSSI is our groundbreaking work studying scientific process and research throughout the ages. Together, this unique community of collaborators is unearthing new insights that are already influencing opportunities and developments for academia, government, business and science around the world. Our work is constantly evolving with many new experiments currently underway.
One of the most universal trends in science and technology today is the growth of large teams in all areas, as solitary researchers and small teams diminish in prevalence.
Members of the CSSI team discuss how today’s practices, policies and resources are still rooted in traditions and intuitions rather than evidence, and why we must work to do better.
Here we find that, for subjects ranging from mobile handsets to automobiles and from smartphone apps to scientific fields, early growth patterns follow a power law with non-integer exponents.
The CSSI team developed a mechanistic model to explore the long-term predictability of citation patterns, the results of which indicate that all papers tend to follow the same universal temporal pattern.
As artificial intelligence (AI) applications see wider deployment, it becomes increasingly important to study the social and societal implications of AI adoption.
An analysis of Web of Science data spanning more than 100 years reveals the rapid growth and increasing multidisciplinarity of physics — as well its internal map of subdisciplines.
PNAS, 19 Jun 2019
Scientific Data, 18 Apr 2019
PNAS, 25 Mar 2019