Research · Innovation · Collaboration

Connect research with practical application.

Research has greater practical value when strong analytical thinking can be connected with technology, organisations and real-world problems.

Denise is open to selected research and innovation collaborations where expertise in artificial intelligence, data analytics, blockchain, business, technology or professional education can contribute meaningfully.

Explore Research Areas
Areas of Interest

Research across technology, data and business.

Potential projects may sit within one field or cross several disciplines where technology, organisations and people interact.

01

Artificial Intelligence

Research and applied questions involving AI, generative AI, organisational adoption, implementation and practical use.

02

AI & Business

Examine how AI influences strategy, productivity, processes, decision-making and organisational capability.

03

Data Analytics

Analytical projects involving data interpretation, statistical reasoning, evidence and decision support.

04

Decision Intelligence

Explore how evidence, analytics, systems and human judgement interact in organisational decisions.

05

Blockchain

Research blockchain applications, distributed systems and business use cases from an implementation-focused perspective.

06

Emerging Technology

Examine new technologies and their possible organisational, economic or professional implications.

07

Business Innovation

Explore new business models, innovation processes, entrepreneurship and technology-enabled change.

08

Digital Transformation

Research how organisations combine technology, processes, people and strategy during transformation.

09

Technology Adoption

Examine organisational readiness, adoption, barriers, skills and behavioural factors affecting new technologies.

10

Professional Education

Research learning, professional development, technology education and capability-building.

11

Data & Technology Literacy

Explore how professionals understand and engage with AI, data, technology and analytical information.

12

Interdisciplinary Research

Selected projects that connect technology, business, analytics, education or organisational questions across disciplines.

Collaboration

Different projects require different contributions.

Research

Research Projects

Contribute analytical, business, technology or interdisciplinary expertise to suitable research initiatives.

Innovation

Innovation Projects

Explore new technology applications, service concepts or business opportunities.

Data

Analytical Collaboration

Support selected projects involving data, statistics, analytical reasoning or interpretation.

Education

Academic & Educational Collaboration

Consider collaborations involving professional education, course development, teaching, technology literacy or learning.

Technology

Technology Expertise

Provide business-focused input where AI, blockchain, analytics or emerging technology forms part of a wider project.

International

International Collaboration

Selected cross-border and international projects may be considered where the subject and expertise are appropriately aligned.

Advisory

Expert Contribution

Selected advisory or expert roles may be considered for suitable research and innovation initiatives.

Workshops

Research & Innovation Workshops

Structured sessions can help teams explore research questions, technology opportunities and implementation ideas.

Bespoke

Multidisciplinary Projects

Projects that combine research, analytics, business, technology and education can be considered individually.

Collaboration Approach

Start with the research question and required contribution.

01 Context

Understand the project, research question, organisations involved and intended outcomes.

02 Relevance

Determine whether Denise's expertise is appropriately aligned with the requirement.

03 Contribution

Define the analytical, business, educational or technology contribution required.

04 Collaboration

Agree an appropriate project structure, responsibilities and next steps.

Research + Application

Good research should withstand difficult questions.

Technology projects benefit from examining not only what is technically possible, but also what is useful, measurable and realistic.

Research and innovation work can therefore involve analytical reasoning, business relevance, implementation considerations and the way technology affects organisations and people.

AI & Technology → Data Analytics → Blockchain →

Questions worth examining

  • What is the research question?
  • What evidence is required?
  • What assumptions are being made?
  • How will outcomes be evaluated?
  • Who are the relevant stakeholders?
  • What practical problem is being addressed?
  • What are the limitations?
  • How could the findings be applied?
Potential Collaborators

Selected projects from different sectors can be considered.

Universities

Research, education, innovation and interdisciplinary projects.

Researchers

Technology, analytics, business and applied collaboration.

Businesses

Applied research, technology and innovation requirements.

Startups

Research-led innovation and technology exploration.

Public Organisations

Selected research, innovation and capability projects.

Research Organisations

Analytical, technology and interdisciplinary collaboration.

Innovation Teams

New technology, use cases and practical experimentation.

International Partners

Selected cross-border and multidisciplinary collaboration.

Research & Innovation Enquiry

Have a project worth discussing?

Explain the research or innovation objective, the organisations involved, the expertise required and the contribution you would like Denise to consider.

Request a Consultation → WhatsApp →
Collaboration Questions

Before making an enquiry.

Is Denise open to research collaborations?

Selected research collaborations can be considered where the subject and required expertise are appropriately aligned.

Can universities contact Denise about research or innovation work?

Yes. Universities may enquire regarding relevant research, educational, technology or interdisciplinary collaboration.

Can businesses propose applied research projects?

Yes. Selected applied research and innovation projects can be considered where there is a clear objective and appropriate role for Denise's expertise.

Can a project combine AI and data analytics?

Yes. Research questions may cross artificial intelligence, analytics, business, technology and organisational issues.

Can Denise contribute to blockchain research?

Blockchain and emerging technology projects can be considered, particularly where business applications, implementation or education are relevant.

Are international collaborations possible?

Selected international and cross-border projects can be considered depending on the requirement and collaboration structure.

Can Denise participate as an external expert or adviser?

Selected expert or advisory contributions may be considered where the role and expertise required are clear.

What should we include in the initial enquiry?

Include the project or research question, organisations involved, current stage, required expertise, expected contribution, relevant timing and any important project constraints.

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