20 years

UNTANGLING THE WEB OF HUMANS AND TECHNOLOGY

19th ACM Web Science Conference 2027 May 25th-28th, 2027, Singapore

What is Web Science?

Web Science is the scientific study of one of the most complex machines ever constructed – the World Wide Web. The Web is made up of billions of elements across the world, from people to computers to AI agents, interacting in complex and evolving ways. Its study requires multiple expert perspectives across many disciplines to build a clear understanding of how the Web changes society just as much as how society and technical innovations like AI change the Web.

Get Involved

At the Web Science Trust we have worked with universities, research groups, businesses, think tanks, and people around the world for over twenty years to better understand the impact the Web is having, through research, conferences, training and outreach. A primary mechanism is our support for a worldwide network of research laboratories, WSTNet.

About Us

The Web Science Trust is a UK-based charity hosted by the University of Southampton which brings together world class thinkers and research in Web Science. We are a not-for-profit group representing twenty of the world’s leading universities and research groups and headed by international thought leaders in Web Science and sociotechnical research.

Partners & Supporters

WST has worked with a range of organisations and supporters including BT, the Web Foundation, IBM, Salesforce, InfoSys and many more. If your organisation would like to support or partner with the Web Science Trust, please contact us at info@webscience.org.

Why Web Science is important

Now more than ever

“The interdisciplinary study of the technological and social constructs behind large networks such as the World Wide Web”

What makes up Web Science?

The science of the Web includes the study of the networks that underpin the Web, the vast quantities of information and transactions that are created and transmitted by this global machine, and the various ways in which both humans and artificial constructs produce, consume and react to online experience. It brings together network science, internet science, data science, software engineering, AI/ML, psychology, sociology, law, ethics and philosophy into a broad, interdisciplinary domain of study that also touches on education, health, politics, innovation, and commerce.

Social Machines

A social machine is made up of human and non-human elements that interact and influence each other at web scale in ways that the designers and participants may not have intended, demonstrating emergent properties that can be studied through the methods of social science.

Big Data

Web Science helps us understand how we use “messy” complex data sets so large that no single human could ever directly read/check them and yet which we routinely trust to drive/manage vital social functions and processes.

AI and Machine Learning

AI and machine learning are machine-based systems designed to operate with a degree of autonomy that can translate objectives like user requests into outputs including classifications, decisions, actions or content such as text, image, audio or video. They are now an integral part of the Web and are studied as part of Web Science.

AI

Seeking to reproduce understanding which guides apparently “intelligent” behaviour such as the ability explain/justify why a decision was made.

Ethics

An understanding of how information and influence flow across the Web, particularly relating to propaganda and disinformation can help us understand the impact on societies and individuals of their online activities.

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