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We use a wide range of interdisciplinary instruments for the work at the iit. These have been developed and tested by our experts. We continuously develop these instruments and together with our customers can adapt them flexibly to specific requirements.

IndiGO – Measuring change in innovation capability

IndiGO is a guideline-based instrument for the identification of the effects of projects and programmes on the innovation capability of organisations and, in particular, companies.

ANIS – Road sign for innovation policy measures

The iit instrument ANIS stands for "Indicator-based Analysis of National Innovation Systems". It examines the maturity of an innovation system by means of an indicator-based analysis.

Visual Roadmap – On the way from “Now” into the future

This method developed by the iit is particularly useful for the preview and identification of milestones on the way from "now" into the future. It can be used equally well for trend analysis or the creation of roadmaps and is able to describe future scenarios as well as missions. The visual roadmap method is therefore an ideal instrument for identifying strategic potential and extrapolating needs for action.

MTCI – Training for the development of innovation systems

MTCI stands for the structured preparation and conveying of a harmonised knowledge basis for the development of innovations and innovation systems in emerging countries. The concept of the training instrument enables a consistent design. This embraces the introduction/arrangement of the theme, the objective, the specific process (approaches and methods of implementation) and the supervision and review (methods of further development and assessment). Research and development form the respective core elements of the innovations.

CNE – Cluster and network evaluation

CNE is an instrument for evaluating networks and clusters. It refers to cluster policy itself, network management and cluster actors. With a mix of methods comprising surveys, interviews and workshops, both short-term as well as medium- to long-term results on various specific cluster and network issues are measured.

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