Strategic Technology Forecasting

Peter Drucker says:

Decisions exist only in the present. The question that faces the long-range [technology] planner is not what we should do tomorrow, it is: What do we have to do today to be ready for an uncertain tomorrow?

For the leading and /or very large companies (hint Google / Apple, etc.) it is even more interesting, because they not only try to accommodate uncertainty, but actually influence the future. So it is not like competitions of visions, but actually competition of who and how is going to shape the future [technology]. Hm —  does it make the future more or less uncertain :)?.

John Rauser: How humans see Data

Excellent talk on data visualization. The abstract from YouTube:

John Rauser explains a few of the most important results from research into the functioning of the human visual system and the question of how humans decode information presented in graphical form. By understanding and applying this research when designing statistical graphics, you can simplify difficult analytical tasks as much as possible.

Selected links:

Text segmentation and coding for QDA

In my second master thesis I was trying to automate part of the process required for public policy design. The results were not very satisfactory in terms of the applicability in practice. I hope to someday return to the idea and utilize machine learning methods which became available since then (hm, deep learning maybe) + knowledge and experience gained during doctoral studies at CLEA and ECCO.

Veitas, V. Text Segmentation and Coding for Qualitative Data Analysis. Master Thesis. Katholieke Universiteit Leuven. 2009.