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Research project

Ethnic minority business data in the UK

Project overview

EMBD-UK is an interdisciplinary project aimed at developing a visualization map of ethnic minority businesses in the UK. The main goal of this project is to create a data-based dashboard to visualise ethnic minority businesses in the UK over time. This project has found a novel and interdisciplinary approach to answering questions about EMBs at the granular level (e.g. geographical regions, sectors) and over time. By bringing together techniques from data science to answer business-related research questions, this project aims to make a unique contribution to academic knowledge and achieve wider societal impact.

Staff

Lead researcher

Professor Ajit Nayak

Professor of Strategic Management

Research interests

  • Strategic Management
  • Innovation and Dynamic Capabilities
  • Responsible Leadership and Sustainability Transitions
Other researchers

Professor Enrico Gerding

Professor

Research interests

  • My main research focuses on applications where autonomous self-interested agents compete in markets and negotiate, and where designing appropriate incentives is important to ensure a well functioning and fair society. My research combines theory, mainly game theory and mechanism design, with practical applications. Specific applications include: autonomous vehicles, the smart grid, online advertising markets, cloud computing, algorithmic trading, ride sharing and data privacy.
  • I'm currently an investigator on the following projects:
  • AutoTrust: Human Centered Internet of Vehicles This EPSRC-funded platfrom grants looks at a wide range of aspects around the Connected and Autonomous Vehicles (CAVs), such as the interaction with autonomous systems (human-to-vehicle interaction), the issue of data privacy and consent, as well as the incentives and optimisation of e.g. traffic flow. Specific topics include: how do platoons form and how can they be used most effectively to improve traffic flow; how can we incentivise better use of public transport and/or shared vehicles (ride sharing); how can we best combine different modes of transport to reduce carbon emissions; how can we ensure that transportation data can be stored securely and used for research purposes; in autonomous vehicles and autonomous systems more generally, how can we reason about concepts such as responsibility and accountability especially when there is shared responsibility of a coalition (e.g. in case of a collision). 

Collaborating research institutes, centres and groups

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