Research & Innovation Hub

Applied research and innovation in AI, data and intelligent systems

The Research & Innovation Hub accelerates applied research, industry collaboration and public benefit across artificial intelligence and machine learning, data science, cybersecurity, FinTech and intelligent systems.

  • Centres organised around thematic programmes, labs and projects.
  • Open-access working papers, datasets and code repositories.
  • Conferences, seminars and hackathons connecting academia, industry and communities.
Explore research centres Events and workshops Partner with LSICT Featured projects

What the Hub enables

  • Co-created projects with industry, public sector and community partners.
  • Research that directly informs and refreshes LSICT programmes and teaching.
  • Pathways from research to impact, start-ups and policy influence.

Topic selection is guided by educational and societal value, feasibility, ethics and potential for public benefit.

Research and innovation at LSICT

Research and innovation activities are central to the mission of the London School of Intelligent Computing and Technology. LSICT focuses on applied, industry-relevant and socially responsible research that advances knowledge while delivering tangible benefits for learners, organisations and communities.

Across AI, intelligent systems, data science, cybersecurity, robotics and related areas, staff and students work together on projects that are grounded in real-world problems and aligned to LSICT’s educational and charitable purposes.

Our research principles

  • Sponsor and undertake applied research in AI, data, cybersecurity, robotics and intelligent systems.
  • Co-create projects with industry, public sector and community partners.
  • Disseminate through publications, conferences, workshops and open resources.
  • Use research outputs to keep curricula current, evidence-based and practice-focused.
  • Select topics based on societal value, feasibility, ethics and public benefit.

Research centres and thematic units

Research is organised into centres that bring together people, labs, projects and funding calls around shared themes.

AI and Intelligent Systems

Machine learning, deep learning, intelligent agents and autonomous systems.

  • AI-driven decision support for business and public services.
  • Human-centred and responsible AI design.
  • Robotics, computer vision and intelligent interfaces.
  • Working papers, datasets and reproducible codebases.

Data Science and FinTech Innovation

Data analytics, financial technologies and algorithmic decision-making.

  • Predictive models for finance, risk and operations.
  • Applied data science for organisations and communities.
  • Open dashboards, notebooks and curated datasets.
  • Collaboration with banks, FinTechs and regulators.

Cybersecurity and Digital Resilience

Security management, governance, assurance and cyber-physical systems.

  • Risk, resilience and cyber governance frameworks.
  • Threat intelligence, incident response and digital forensics.
  • Secure architectures for cloud, IoT and critical systems.
  • Practice-oriented labs, toolkits and guidance.

Each centre maintains people profiles, project portfolios and live calls for collaboration and funding.

Outputs and open resources

We are committed to open, reusable and practice-ready outputs wherever possible.

Working papers

Open-access working papers and technical reports capturing emerging findings, prototypes and evaluative studies across AI, data and cybersecurity.

Datasets

Curated datasets and synthetic corpora to support experimentation, teaching and reproducible research, released with clear documentation and licensing.

Code repositories

Public code repositories, notebooks and reference implementations enabling others to adopt, extend and validate LSICT research outputs in their own context.

Events, seminars and hackathons

Regular events connect students, professionals, schools, colleges and the wider public with the latest developments in intelligent computing and technology.

Educational and academic events

  • Workshops, seminars, conferences and public lectures led by research-active staff.
  • Clear learning outcomes communicated in advance to diverse audiences.
  • A blend of framing, core teaching, demonstrations and interaction.
  • Hands-on elements such as live coding, data exercises and configuration labs where appropriate.
  • Sessions on ethical, social and policy dimensions of intelligent technologies.

Balanced, evidence-based learning

  • Events advertised via the LSICT website, mailing lists, partner networks and social media.
  • Designed to be balanced and evidence-based, presenting alternative viewpoints fairly.
  • Encourage critical thinking, reflection and independent judgement.
  • No promotion of party-political views or particular doctrinal positions.
  • Clear signposting to further study, resources and opportunities.

Funding, impact and entrepreneurship

LSICT aims to build a sustainable research ecosystem that attracts external funding, supports entrepreneurial activity and delivers measurable impact in the UK and internationally.

  • Secure sustained external funding from bodies such as UKRI, Horizon Europe, Innovate UK and industry partners.
  • Support spin-outs, start-ups and entrepreneurial ventures arising from research.
  • Publish in high-quality journals and conferences, as well as practitioner-oriented outlets.
  • Lead global collaborations with universities, research institutes, businesses and civil society organisations.

Impact pathways

Every project is encouraged to define its intended impact, beneficiaries, and realistic pathways to change from the outset.

  • Policy briefs and advisory work.
  • Tools and platforms deployed in real settings.
  • Capacity-building programmes and training.
  • Knowledge exchange with partners and networks.

Research & Innovation

Featured projects from our community

LSICT staff, students and partners work together on applied research in AI, cyber security, data science and intelligent systems.

 
AI & Data Science

Explainable AI for Financial Services

Developing transparent machine learning models and governance frameworks to support responsible use of AI in lending and investment decisions.

View project

This project explores model interpretability techniques for credit scoring and transaction monitoring, working with partners to design explainability reports that can be understood by risk teams and regulators.

  • Comparison of model-agnostic and model-specific methods.
  • Human-in-the-loop evaluation with financial practitioners.
  • Guidance for responsible deployment in production systems.
 
Cyber Security

Securing Smart City Infrastructures

Analysing vulnerabilities in IoT-enabled urban services and designing resilient frameworks for critical infrastructure protection.

View project

Focusing on sensors, edge devices and cloud platforms, this project develops threat models and testing toolkits for transport, energy and public safety services.

  • Reference architectures for secure smart city deployments.
  • Simulation of attack scenarios and response playbooks.
  • Recommendations for local authorities and technology partners.
 
Systems & Cloud

Green Cloud Architectures for Campus IoT

Optimising cloud-native architectures to reduce energy use across campus-scale IoT deployments and digital learning environments.

View project

Working with campus facilities and IT teams, this project evaluates workload placement, scheduling and telemetry for energy-aware digital infrastructure.

  • Monitoring frameworks for energy and resource consumption.
  • Container and serverless patterns for low-carbon services.
  • Practical guidelines for sustainable campus cloud platforms.
Explore all research projects

Get involved

Whether you are a prospective doctoral student, a professional partner or a community organisation, there are multiple ways to engage with the Research & Innovation Hub.

Students and researchers

  • Align your dissertation, thesis or project with active research themes.
  • Join labs, centres and working groups as a research associate or intern.
  • Present at LSICT seminars, colloquia and hackathons.
  • Co-author papers, datasets or open-source tools with faculty.
Explore study and research routes

Industry and community partners

  • Co-design applied research projects that address live organisational challenges.
  • Host collaborative labs, sandboxes or pilot deployments.
  • Support funded projects, scholarships or challenge-led hackathons.
  • Contribute as guest speakers, mentors or advisory board members.
Contact the Research & Innovation Hub