| KEYWORD |
Area Engineering
Defining a policy agenda for reducing the impacts of digitisation and automation on the transport workforce
keywords DATA COLLECTION, FOCUS GROUP, SOCIAL DIALOGUE, SURVEY, TRANSPORT AUTOMATION, TRANSPORT DIGITALISATION, WORKFORCE
Reference persons CRISTINA PRONELLO
Research Groups Transport Research for Innovation and Sustainability (TRIS)
Thesis type DATA COLLECTION IN SITU, EUROPEAN BENCHMARK, SCENARIOS ANALYSIS
Description The thesis will be developed within the context of the Horizon 2020 project WE-TRANSFORM (https://wetransform-project.eu/) that aims at proposing a policy agenda to minimise the potential impacts of digitalisation and automation on the transport workforce.
The students will work together with the coordinator of the project (Prof. Pronello) to design short questionnaire, interview and focus group layout to be administered top select group of stakeholders (companies, trade unionism politicians) to find out the key themes to include in the policy agenda to be delivered to the European commission.
More details on the project can be found in the website of WE-TRANSFORM (https://wetransform-project.eu/) and below a short extract from the project is given. The project includes 34 partners worldwide, coming from different transport sectors, gathering important companies.
Short abstract
Combining expertise across all facets of transport and analytical tools, the European project WE-TRANSFORM (https://wetransform-project.eu/) aims to apply a participatory approach, using Collective Intelligence (CI), to generate an evidence-based and action-oriented agenda to research, formulate and prioritize the challenges connected to the effects of automation on the transport labour force, on future working conditions and on skills requirements. The approach of WE-TRANSFORM is highly collaborative, promoting discovery, debate and prioritization of themes by the active participation of representative types of stakeholders, using state-of-the-art data collection and analysis tools while drawing information and themes for the collectively constructed agenda from wide-ranging environments. The composition of the consortium and the Artificial Intelligence (AI) tools to be used guarantee access and involvement across a wide range of relevant parties ranging from transport-chains’ stakeholders and extending to citizens’ associations and beyond including information mining from electronic social media. Robust analytical tools are combined with information findings drawn at AI speed and coverage potential, while the simulation of a social debate within a living hub environment allows the dialogue and ultimately the formulation of a collectively defined agenda enriched with co-created knowledge.
Required skills The skills required are: a good ability to critically analyse documents; the design of questionnaires, interviews and focus groups; a good ability to analyse textual contents; interpersonal skills and knowledge of English.
Deadline 05/11/2025
PROPONI LA TUA CANDIDATURA