Deliverables Websites, patent fillings, videos etc. (1) Project website available in English The English version of the website will be online by M2 of the project Documents, reports (2) Report on gender analysis of survey data and model Description of Work and Role of Specific BeneficiariesTask 21 Employee task surveys Lead partner UL Timeline M8 M18 Total number of Person Months allocated to secondments 14In this Task 21 a scientific survey will be designed in order to measure the suitability for machine learning on each task and required skills of employees of participating organizations Strategies in the design of survey will be evaluated in terms of project objectives in line with the fit for use concept This evaluation will be done prior to the actual data collection to choose the optimal sampling strategy UOW KHAS and UPM will design the scientific surveyTask 22 Implementing the model with survey dataLead partner ARC Timeline M18 M32 Total number of Person Months allocated to secondments 12In this Task 22 the collected data will be evaluated with the proposed machine learning model in order to predict the occupation ARC JONL and ICBE will execute the survey ITCL will carry out the preprocessing operation on survey results and execute the fine tuning as necessary KHAS will implement the machine learning model with the tuned data in order to present the occupation categories either tobeextinct or tobesurvived as well as the related skills per categoryTask 23 Gender analysis of survey data and model Lead partner UOW Timeline M18 M30 Total number of Person Months allocated to secondments 12The output of the developed model will be compared in terms of the gender dimension in Task 23 in order to detect the current and nearfuture occupational risks UOW UPM and UL will analyse the survey datamodel output in comparison with the Strategic HRM approach The model will be tested for gender bias using the survey data It will be checked to see if its predictions are more accurate for one gender or gives results that are skewed towards one gender When any such unintentional algorithmic biases are identified remedial strategies will be developed Task 24 Design TrainingEducation sets based on survey Lead partnerUPM Timeline M24 M42 Total number of Person Months allocated to secondments 12According to the survey and model outcomes required training sets will be developed by KHAS UL UPM and UOW would work on training design for management occupation In addition innovative learning platform will be designed To develop a framework of 21st century skills to be promoted we differentiate between declarative know what and procedural knowledge know how and understand skills as domain related declarative knowledge and procedural knowledge of how why and when to apply the procedural knowledge to answer questions and solve problems Dissemination and Communication plan This deliverable will detail the communication plan and the strategy for disseminating the findings of the project the different dissemination channels and the target audiences Publications Conference proceedings (1) Reshaping labour force participation with Artificial Intelligence Author(s): María Navas-Loro1 , Julián Arenas-Guerrero1 and Elena Montiel-Ponsoda Published in: CEUR Workshop Proceedings, Issue Montly 12 per, 2023, Page(s) 5-10, ISSN 1613-0073 Publisher: CEUR Workshop Proceedings DOI: 10.5281/zenodo.10082602 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
