Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

INTEGRATED TIME TRACKING SYSTEM

Project description

Employee hour tracking made simple

Accurately tracking employee hours is necessary for every and any type of business but ensuring access to timely data for billable and non-billable activities is a lot of hard work. One possible solution is the use of global time sheets, but this involves a lot of hard work and constant user intervention. The EU-funded IT-TRAS project is developing an alternative solution that requires minimal user intervention to accurately calculate working hours of all workers, regardless of their location. With the use of artificial intelligence (AI) and machine learning, it can automatically adjust the operational features of different tasks for the smart distribution of time per task.

Objective

Time tracking constitutes a key feature of efficiency evaluation. Nevertheless, the production of Global Time Sheets is a cumbersome task usually ignored or improperly produced by the workers leading to inability to evaluate efficiency or accurately calculate the billable hours of work. The main reason behind that is the need of constant user intervention to set, pause or stop a timer per task or project which is impossible for those working away from the business premises. Integrated Time Tracking system (IT-TRAS) will minimise the need for user intervention in accurately calculating the working hours by operating seamlessly regardless of the location of the worker, by automatically adjusting to operational features of different tasks and by making smart distribution of time per task. Artificial Intelligence and specifically Machine Learning will be employed to gradually minimise user intervention through supervised learning and classification algorithms applied in a defined pool of training data containing the actual working hours per task and project. To achieve this, an Innovation Associate will be hired by the Rhodes Centre for History and Social Research – Rhodes Project SCE. The successful candidate will have a PhD in informatics, background in AI and ML, specialisation in supervised learning and classification algorithms as well as working experience in programming and software development. The Innovation Associate will receive tailored and certified training in the methodology of social research adding to his/her transferrable skills. He/she will be working in the multinational and multidisciplinary environment of Rhodes Project SCE for one year, with competitive salary and actual prospects of career development within the SME.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

CSA - Coordination and support action

See all projects funded under this funding scheme

Call for proposal

(opens in new window) H2020-INNOSUP-2018-2020

See all projects funded under this call

Coordinator

KOINONIKI SUNETAIRISTIKI EPICHEIRISI SYLLOGIKIS KAI KOINONIKIS OFELIAS-RODIAKO KENTRO ISTOPIKON KAI KOINONIKON EREYNON
Net EU contribution
€ 105 275,00
Address
CHIMARRAS 27
851 33 RODOS
Greece
SME
Yes
Region
Νησιά Αιγαίου Νότιο Αιγαίο Κάλυμνος
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 105 275,00