Streifen 4Image: Stefanie John

We rely on participatory processes with potential user groups and apply proven agile working methods from software development.

We adapt established concepts from science and research for the development of the monitoring tool and the assessment process for projects. Central to this is the use of impact pathways and the focus on predictive indicators.

We develop the current version of the monitoring tool and the assessment approach for the specific requirements in the agricultural, food and environmental sectors. We are using the open source current research information system DSpace-CRIS as a technical starting point. In this way, we create the optimal conditions to facilitate the establishment and dissemination of the tool among potential user groups and to enable future context-specific adaptations without legal barriers.

Agile soft­ware de­vel­op­ment ap­proach and par­ti­cip­at­ory in­volve­ment of dif­fer­ent user groups and ex­perts in the de­vel­op­ment pro­cess

The development of the monitoring tool and the assessment process is based on an agile software development approach. The development takes place step by step and intermediate versions are presented in iterative processes to potential end users from research, research funding, knowledge transfer and the evaluation community.

Concrete drafts of user interfaces, functions or applied concepts, for example, are reflected upon. In this way, we stay close to the needs of the various user groups and can discover and solve striking problems even before the actual pilot operation.

Im­pact path­ways and fo­cus on pre­dict­ive in­dic­at­ors

Impact Pathways

The monitoring tool will be available with a user interface for the creation of so-called impact pathways.

With an impact pathway, the impact logic of a project can be developed taking into account restrictions. Concretely, the following impact pathway for research and development projects is used in the monitoring tool:

Impact Pathway - Description

Predictive indicators

A fair rewarding of research performance is realised by focusing on factors that can also be actively shaped by research and at the same time are subject to a low influence of external framework conditions. These factors should also be able to provide information on whether a societal impact of research performances is likely. We use predictive indicators for this purpose.

Central to this is the concept of so-called productive interactions. This concept is based on the empirically proven knowledge that an application and impact of research must be preceded by interaction processes with participants from the field of action.

We also derive further indicators from innovation research. Innovation potentials are described, among other things, on the basis of application possibilities or the degree of readiness of a developed solution.

As­sess­ment of pro­jects - Dif­fer­ent di­men­sions of so­ci­etal be­ne­fits

Research funding increasingly aims to ensure that research and development provide answers to societal challenges. Research results should lead to innovations and thus contribute to sustainable development. For this, it is crucial how research works.

We develop a project assessment based on these different dimensions of societal benefits. Our multi-criteria set brings together three areas:

multidimensional criteria-set

In the conception of project assessment, we adapt approaches from transdisciplinary research and innovation research. We take up the discourse of Responsible Research and Innovation, which is considered decisive for European research funding. Approaches to sustainability assessment and classic technology transfer are also incorporated.


Assessment criteria for the variety of research and development

The assessment criteria we have developed should be applicable to the variety of different project and innovation types as well as funding programmes.

Since the aim is to assess potential societal benefits at an early stage, we rely on predictive indicators. Central to our concept are productive interactions between research and non-scientific stakeholders as a suitable "measure" of transfer and exchange processes. Equally important is information on application and innovations and their potential societal impacts.