Universiteit Utrecht (UU) • Innovation Sciences

In this document, all different formulas used for the program R during this course are provided. Furthermore, I added the important parts of the knowledge clips with supporting images to make it easier to understand.

Here you can find all important parts of the different articles provided during this course. In addition, the lecture notes are added.

Here you can find all important information provided during the lectures as well as the readings for these lectures. In some parts, I added images to make it even easier to understand.

Improved exam prep. This document contains everything relevant for the course & the final exam: - Notes from lectures & tutorials - Summary of slides - Detailed explanations and "deciphering" of the teacher's slides :)

This is a summary of the course Adaptive Interactive Systems with the lectures: 1) Introduction, 2) User modelling, 3) Context modelling, 4) Recommender systems (collaborative), 5) Recommender systems (content based), 6) Group recommender systems, 7) Adaptive interfaces and visualization, 8) Metrics and reproducibility, 9) Layered evaluation, 10) Impact and Ethics, and 11) Explanations.

This is a summary with Lecture notes, articles and tutorials. The lectures are: 1)Technology transfer, 2) Platforms, 3) Leapfrogging, 4) Nation-building, 5) Patents, 6) Splintered regimes, 7)BoP and reverse innovation, and 8) Pluriversal technologies.

Summary of Quantitative Innovation Analytics with the topics: 1) Introduction to the course and quantitative models, 2) Theory and research designs, 3) Linear regression in R, 4) Binary logit models, 5) Multilevel regression, 6) Count Models, and 7) Time to event analysis.

Summary of the course 'Qualitative Innovation Analytics' with the topics: Theory-building with qualitative methods, Qualitative research design, Case studies, Process research & event analysis, Analysing field discourse and rhetoric, Interviewing in qualitative research, Grounded Theory, and Socio-technical configuration analysis.

Summary of the course 'Innovation Systems and Processes' with the topics: Introduction, Neo-Schumpeterian Economics, Innovation systems, Political economy and innovation, SCOT & ANT, User innovation, Transition studies, Futures in and of Innovation studies.

Ik heb de 6 lectures van Innometrics samengevat: 1)Measuring innovation, 2) Science & technology indicators, 3) Patents, 4) Science, technology and innovation, 5) Networks, 6) Evolutionary Geography of Science and Innovation