Consultancy (in-house; free of charge)
asking the right questions the right way
[ Quantitative Research: Statistics ]
Advice on research methodology, data analysis and data collection (eg., sample size), on communicating statistics and results, on writing protocols and research proposals.
[ Quantitative Research: AI development ]
Advice on how to use AI applications, with guidance on the selection of appropriate methods and their use in data analysis.
[ Qualitative Research ]
Methodological advice on qualitative data collection and analysis, on generating in-depth understanding, on communicating both the methodology and results, on writing protocols and research proposals.
Statistical Analysis / Machine Learning (AI) (in-house; free of charge)
getting the relevant information out of it
A full collaboration implies taking our responsability for implementing (parts) of the analysis, communicating the results and responding to remarks made by reviewers.
free of charge only for in-house collaborations,
fees apply to (semi) external services
Data Cleaning & Data Visualization (paid service)
preparing data for further processing
An analysis starts from properly formatted data, we can help getting the data that way. A visualisation often offers a lot of additional understanding.
Tutoring (paid service)
learning to do things yourself
Workshops and seminars are provided to enhance the existing proficiency reasoning on research methodology, statistics and machine learning where needed.
Automation & AI development (paid service)
getting the computer to do it for you
Parts of the data collection, data analysis and reporting can be automated to avoid repetitive work, errors and time loss, and to promote uniformity.