FIT4RRI is conducting four co-creation experiments to observe RRI and Open Science in action:
> Experiment 1 is focusing on an RRI model for ISQ
> Experiment 2 is focusing on photometry
> Experiment 3 is focusing on material science
> Experiment 4 is focusing on text and data mining
A FIT4RRI experiment is an exercise of engaging the quadruple helix (university, industry, policy makers, society) into the design & implementation of research projects in order to understand how institutions need to change their organisational frameworks to allow better RRI embedment & to provide an enhanced value to the quadruple helix actor.
The original objective of this experiment was to test some of the main outputs emerging from WP1 (on governance settings), WP2 (on sectoral variability with respect to RRI) and WP4 (on training tools & actions) on the Energy sector, in a co-experience model, anchoring FIT experiment to an ongoing project on the Energy area. The MOEEBIUS - Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability project was the selected project.
At the same time, and given the timing that ISQ is going through right now, we decided to embrace a wider objective of developing an ISQ RRI model & implement it in ISQ R&D unit. This will, for sure, mean a much greater effort in the experiment but we believe it can bring a much greater impact to ISQ and surrounding stakeholders.
In this sense, we can list a series of objectives underlying this major experiment:
- Empower ISQ researchers on RRI.
- Create a Roadmap with recommendations and how to include the society (to include the quadruple helix) for ISQ’s R&D activity.
- Develop an RRI model for ISQ and a strategic plan to implement it.
The main aim of the experiment is to embed RRI principles into current ethics and science education practices, based around a case study based on a monitoring system for health and social care applications.
This will be accomplished through working collaboratively with stakeholders to initiate change in policies and the way ethics and science education are viewed and practiced, in institutions, by practitioners, end users and society.
The University of Liverpool case study is an optical monitoring healthcare system that will be placed in the living space of vulnerable people in residential care homes to monitor patterns in behaviour through movement.
The main aim of the monitoring system is to help people to stay safe in their living environments and help care workers to deliver quality care through the prevention of falls and ensure that people are active. The system monitors patterns associated in the long-term deterioration in health.
Text & data mining
The objective of this experiment is to implement, within an ongoing Sapienza project aimed at the creation of a new research center, a responsible governance capable of strengthening the university’s capacity of generating social impact & value.
The experiment has started to be planned in January 2018, based on, and in continuity with, the work carried on in Saperi&Co. project, with the main attempt of demonstrating a mutually advantageous effect deriving from the intersection of RRI and hard sciences environments.
More in detail, Saperi&Co. (Sapienza enhances research, innovation & co-working) is a project funded by structural funds aimed at implementing a distributed infrastructure based on interdisciplinarity, multi-actor approach & the sharing of competences and knowledge.
Saperi&Co. has been developed according to a hub-model putting together several laboratories and a central physical R&I infrastructure hosting:
- a fab-lab
- a coworking spaces
- a training room
- 4 lab based on regional S3.
This experiment is implemented by the Open University and deals with Text and Data Mining (TDM) Big Scholarly Data.
In the past the Open University (OU) has investigated the machine accessibility of the Hybrid Gold Open Access publications for text and data mining purposes.
The OU would like to extend this work to non-open access publications; it wishes to investigate and work closely with publishers in order to be able to offer to text miners this massive closed access corpus of publications for text mining purposes.
This work will involve initiating a close collaboration with publishers and the creation of a communication route between the OU and the publishers.
To accomplish that the following methodology will be followed:
- Investigate publishers’ machine interface to closed access publications
- Focus groups
The discussion will include but will not be limited to:
- Legality of text mining of closed access resources
- Security: preventing unauthorised use of copyrighted materials
- Traceability of usage and monitoring: being able to understand who benefits and uses TDM.