| Emerging field (12) |  |
| Field (565) | |
| New field (6) | |
| Promising field (3) | |
| Scientific field (28) | |
| Specific field (8) | |
| Technological field (27) | |
| Thematic field (16) | |
| Topic field (6) | |
| Emerging field (12) | |
| Field (565) | |
| New field (6) | |
| Promising field (3) | |
| Scientific field (28) | |
| Specific field (8) | |
| Technological field (27) | |
| Thematic field (16) | |
| Topic field (6) | |
and topic fields In order to achieve these targets, a tailor-made combination of methods was applied. The process started by monitoring present-day science
Especially the online survey which had the function of focussing the topics as well as an assessment function is described in more detail (Fig. 3). 3. 1. Starting phase of the process The process started with 14 broader topic fields that were derived from the German High-tech Strategy 2,
/Technological forecasting & Social Change 76 (2009) 1187 1197 The topic fields were: 1. Life sciences and biotechnology 2. Information and communication technology 3. Materials and their production processes 4. Nanotechnology 5. Optics/photonics/optoelectronics 6. Industrial production processes
The first page of the questionnaire allowed to choose 1 of 20 topic fields. Clicking on the specific field
so that at different stages of the process the previous work of BMBF (such as in the identification of the starting topic fields) as well as the foresight and other futureorieente processes planned in BMBF were taken into account.
in it, the interviewees were asked to respond to a set of questions in his/her topic field the responses to whichwould enable a probability distribution to be constructed representing their opinion regarding the topic of the interview.
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