Ongoing Granted Research Projects

I have been working on the following granted reserch projects, that allow me putting my research on AI and XAI into practice:

  • AI4ESCO [2020-2021].

    A Data Driven Bridge Towards ESCO using AI Algorithms. Granted by EURES (call EaSI-EURES VP/2019/010).

  • Real-Time LMI [2016-2020].

    Real-time Labour Market information on Skill Requirements: Setting up the EU system for online vacancy analysis granted by Cedefop EU Agency

  • SLEM Smart Legal Management granted by MIUR as PON project to process unstructured documents to to reduce legal risk through AI.

  • Observatory of Digital Competences [2017-2020].

    The Observatory of Digital Competences, granted by the Italian Unions of ICT (Assinform, Assintel, Assinter) with support of AgiD (Agenzia Italia Digitale) and MIUR.

  • Evaluating the impact of AI on Legal labour markets. PRIN-2017 project granted by MIUR

  • ETF [2019-2020].

    ”Digital innovation: Big Data and Labour Market Information - SP EMPL” - granted by ETF (The European Training Foundation).

Past Granted Research Projects

  • Prototype on Real-Time LMI [2014-2016].

    Real-time Labour Market information on skill requirements: feasibility study and working prototype. Granted by Cedefop EU Agency

  • Data Consistency Evaluation through AI Planning [2012-2014].

    Granted by Arifl Agency on behalf of Lombardy Region. The project goal was to define an algorithm for checking the data quality (consistency) of weakly-structured data, here composed of tens million records from Administrative DBs exploiting the planning-as-model-checking paradigm.

  • Automatic Data Cleansing through AI Planning [2012-2014].

    Granted by Arifl Agency on behalf of Lombardy Region. The project goal was to define an algorithm for automatically cleansing weakly-structured data. The project, as a challenge, has required to define and implement a novel technique (on top of UPMurphi) for the synthesis of the Universal Cleanser (a repository of all the feasible actions able to cleanse a dirty data.) The system is directly connected to an external database for retrieving and cleaning up to million records.