AI for academia & researchers.
For research teams, lecturers and individual researchers, across disciplines. I start with a conversation about how you work.
An AI competency program.
A series of sessions of about 2.5 hours, spread over weeks – so there's time to test the tools on your own materials and come back with questions. We set the structure after a kick-off conversation and a survey, then adjust with the group.
Sample topics we work on. Click to expand.
Basics & working with models
How language models work and how to talk to them to get reliable results. Effective prompting and choosing the right tool – the foundation, without which the rest falls apart.
Research tools & literature
How AI really speeds up research: literature review, filtering large article sets, systematic review and working with Deep Research. Less time digging through databases, more time thinking.
Documents, data & teaching
Working with lots of materials without losing context or hallucinating. Data analysis and preparing teaching materials that save time in class.
Personalization & AI assistants
Building an assistant that knows your research field and way of working. Automating repetitive tasks, so AI lightens the load rather than adding to it.
Multimodal AI
Slides, graphics, video and visuals for conferences, lectures and publications. Faster, without a separate designer.
Ethics, law & good practice
Copyright for AI-made content, data protection and the moment data fed to a model can become public. Responsible use in an academic context.
Support with grants.
A hands-on workshop block. Important: AI doesn't write the proposal for you – it helps you write it, keeping the rules and criteria in check. I work with ERC, Erasmus and NCN, among others, with teams and individually. Click through the steps.
We review the criteria and the whole call: what the panel really expects and where the points sit.
Support writing individual sections. AI doesn't write the proposal for you – it helps you write it, keeping an eye on the rules, the length and what belongs in each section so the whole stays coherent.
We check whether we've answered every criterion and how reviewers might react to the proposal.
We look at the whole: whether the proposal is good, complete and has all the data it needs.
Let's talk about your work.
With a team or individually. Tell me what you're working on.
Get in touch