Surveys: employee & task

Description of Work and Role of Specific Beneficiaries:Task 2.1: Employee & task surveys Lead partner: UL; Timeline: M8 – M18; Total number of Person Months allocated to secondments: 14.In this Task 2.1, 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 survey.Task 2.2: Implementing the model with survey dataLead partner: ARC; Timeline: M18 – M32; Total number of Person Months allocated to secondments: 12.In this Task 2.2, 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 pre-processing 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 to-be-extinct or to-be-survived as well as the related skills per category.Task 2.3: Gender analysis of survey data and model Lead partner: UOW; Timeline: M18 – M30; Total number of Person Months allocated to secondments: 12.The output of the developed model will be compared in terms of the gender dimension in Task 2.3 in order to detect the current and near-future occupational risks. UOW, UPM and UL will analyse the survey data/model 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 2.4: Design Training/Education sets based on survey Lead partner:UPM; Timeline: M24 – M42; Total number of Person Months allocated to secondments: 12.According 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.