Web science
Web science is an emerging field that studies large, real‑world systems that mix people and technology, especially the World Wide Web. It looks at how society and technology shape each other and how this mutual influence affects the world around us.
The field brings together many disciplines, including sociology, computer science, economics, and mathematics, along with psychology and law. Some definitions describe Web Science as studying web information much like we study the natural environment, while others emphasize combining social behavior with the technology behind the web.
A big part of Web Science is artificial intelligence, especially human‑centered AI. Researchers want AI to help people grow professionally and to inform public policy, focusing on uses that have the greatest positive impact.
Philip Tetlow, a scientist with IBM, proposed the idea of “web life.” He suggested the Web is more than a network of computers; it is a sociotechnical system that brings individuals and organizations together into larger groups. The Web grows and becomes more complex so quickly that we can’t fully control it with existing methods, which is why new ways of understanding it are needed.
Many research groups around the world study Web Science, and some are part of the Web Science Trust Network (WSTNet).
Health Web Science is a subfield that looks at how the Web affects health outcomes and how to use Web Science to improve health care and social welfare. This work is connected to Medicine 2.0, which focuses on the web’s role in medicine.
The Web spreads knowledge quickly. Researchers strive to keep information verifiable and easy to access, and they work on presenting knowledge in clear, useful formats. As the Web evolves, the way we share and organize information must evolve too, so knowledge remains accessible and reliable.
This page was last edited on 2 February 2026, at 17:04 (CET).