Future of Work

Future of Work

Publications

Videos

Overview

Work is becoming more flexible, organic, responsive, and adaptive. The pace of work is speeding up and we now have a deluge of information at our fingertips.  The places we work are no longer fixed, and the platforms and tools we use are more heterogeneous than ever.  And work is more collaborative, networked, dynamic, and multidisciplinary than ever.

These radical changes mean our notions of productivity need reinventing too.  The future of work is not just about making us all more efficient, nor is it about replacing humans with machines.  Rather, it is about building systems that partner with us to make our working lives more fulfilling.  Doing this means supporting what people do best: applying creativity, insight, ingenuity, judgment, and emotional intelligence to the work that we do.  And we are freer to do this if the systems we build play to the strengths of digital technologies:  connecting us across space and time, taking care of repetitive and routine actions in intelligent ways, securely storing vast quantities of information, constructing and mining large datasets, and creating new kinds of representations to which we can apply our judgment.

Our research into the future of work therefore focuses on three key aspects:

  • Collaboration:  Building tools for collaboration, either in real time or asynchronously, which are lightweight, flexible and powerful.
  • Creativity: Developing technologies which gather and analyse data across device, application and service silos, allowing us to be more expressive, reflective, and insightful.
  • Intelligence: Building systems that enable intelligent dialogues with users, taking context and goals into account, mining personal and organizational data in ethical ways, and which have appropriate levels of agency.

To do this, we draw on expertise in the following areas:

  • Human experience and design
  • Machine learning
  • Programming Languages
  • Hardware and sensing technologies
  • Trusted cloud infrastructure
  • Ethics

Projects

Calc Intelligence

We are working on foundational ideas that will take a qualitative step forward, to extend dramatically the reach of what end users can do with spreadsheets.

Enterprise Knowledge

The aim of the Enterprise Knowledge project is to automatically extract business knowledge into a single, consistent knowledge base, made up of the entities that really matter to each organisation.


Socially Intelligent Meetings

Engaging meetings need to be contextually adaptive and inclusive. The Socially Intelligent Meetings project explores how to improve video-mediated collaboration by bringing social intelligence to meetings.

Software Process

Our studies on software process include organizational impact on quality, agile software development, global software development, effort estimation, development branches, and build analysis.

People