Artificial Intelligence
Research and applied questions involving AI, generative AI, organisational adoption, implementation and practical use.
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.
Potential projects may sit within one field or cross several disciplines where technology, organisations and people interact.
Research and applied questions involving AI, generative AI, organisational adoption, implementation and practical use.
Examine how AI influences strategy, productivity, processes, decision-making and organisational capability.
Analytical projects involving data interpretation, statistical reasoning, evidence and decision support.
Explore how evidence, analytics, systems and human judgement interact in organisational decisions.
Research blockchain applications, distributed systems and business use cases from an implementation-focused perspective.
Examine new technologies and their possible organisational, economic or professional implications.
Explore new business models, innovation processes, entrepreneurship and technology-enabled change.
Research how organisations combine technology, processes, people and strategy during transformation.
Examine organisational readiness, adoption, barriers, skills and behavioural factors affecting new technologies.
Research learning, professional development, technology education and capability-building.
Explore how professionals understand and engage with AI, data, technology and analytical information.
Selected projects that connect technology, business, analytics, education or organisational questions across disciplines.
Contribute analytical, business, technology or interdisciplinary expertise to suitable research initiatives.
Explore new technology applications, service concepts or business opportunities.
Support selected projects involving data, statistics, analytical reasoning or interpretation.
Consider collaborations involving professional education, course development, teaching, technology literacy or learning.
Provide business-focused input where AI, blockchain, analytics or emerging technology forms part of a wider project.
Selected cross-border and international projects may be considered where the subject and expertise are appropriately aligned.
Selected advisory or expert roles may be considered for suitable research and innovation initiatives.
Structured sessions can help teams explore research questions, technology opportunities and implementation ideas.
Projects that combine research, analytics, business, technology and education can be considered individually.
Understand the project, research question, organisations involved and intended outcomes.
Determine whether Denise's expertise is appropriately aligned with the requirement.
Define the analytical, business, educational or technology contribution required.
Agree an appropriate project structure, responsibilities and next steps.
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.
Research, education, innovation and interdisciplinary projects.
Technology, analytics, business and applied collaboration.
Applied research, technology and innovation requirements.
Research-led innovation and technology exploration.
Selected research, innovation and capability projects.
Analytical, technology and interdisciplinary collaboration.
New technology, use cases and practical experimentation.
Selected cross-border and multidisciplinary collaboration.
Explain the research or innovation objective, the organisations involved, the expertise required and the contribution you would like Denise to consider.
Selected research collaborations can be considered where the subject and required expertise are appropriately aligned.
Yes. Universities may enquire regarding relevant research, educational, technology or interdisciplinary collaboration.
Yes. Selected applied research and innovation projects can be considered where there is a clear objective and appropriate role for Denise's expertise.
Yes. Research questions may cross artificial intelligence, analytics, business, technology and organisational issues.
Blockchain and emerging technology projects can be considered, particularly where business applications, implementation or education are relevant.
Selected international and cross-border projects can be considered depending on the requirement and collaboration structure.
Selected expert or advisory contributions may be considered where the role and expertise required are clear.
Include the project or research question, organisations involved, current stage, required expertise, expected contribution, relevant timing and any important project constraints.
Provide enough information for Denise to understand the project, the expertise required and the proposed collaboration.