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European projects
Elexis: The lexicographic landscape in Europe is currently rather heterogeneous. There are stand-alone lexicographic resources, which are typically encoded in incompatible data formats due to the isolation of efforts, prohibiting reuse of the data in natural language processing, linked open data and the Semantic Web, or in digital humanities. ELEXIS will introduce common standards, develop conversion tools and, most importantly, will interconnect the existing resources so that they can be used to develop new modern data which can be used in ways that new digital technologies need.
Funding: H2020 N. 731015
Link:
https://elex.is/
Participants:
https://elex.is/partners/
Period: 2020-2023
National Projects
SmarTour: Integrated platform of innovative services for dynamic, interactive, safe and inclusive management of the tourist experience in cities of art and culture.
Participants: Selex, AME S.r.L., META S.r.L., iCampus, Nexse S.r.L., SPACE S.p.A., Università degli Studi di Perugia, Mizar S.r.L., Politecnico di Torino, Consiglio Nazionale delle Ricerche, O1S S.r.L., Envisens Techn S.r.L., Università degli Studi di Trento, Phoops S.r.L., Softec S.p.A., Università di Roma Sapienza, Nexsoft S.p.A.
Funding: Smart Cities and Communities – MIUR SCN_00166 Smartour MIUR (Italian Ministry of University and Research)
Period: 2019-2022
Poste Italiane (Italian Post Company): Predictive Analytics in Stock Markets and Insurance
Period: 2020-2022
AMD: predictive and prescriptive analytics of a very large longitudinal database of italian health records on diabetes (with the italian Association of Diabetoligists)
Regional Projects:
@HOME : AI AND IOT BASED SOLUTIONS FOR HOME CARE MONITORING OF THE ELDERLY” As part of the PR FESR Lazio 2021-2027 call - Specific Objective 1.I - Project T0008B0005 - A0613 - Public Notice "Riposizionamento competitivo RSI", Area 1 "Scienze della Vita", the project “@HOME: AI and IoT based solutions for HOme care Monitoring of the Elderly ” (ID A0613-2023-078047, CUP B83C23006240002) of which the Department of Computer Science is a member in partnership with GIOMI CARE S.R.L. and Datawizard S.R.L. The contribution granted is 276,741.29 euros. The Department will contribute, among other things, by developing solutions based on generative AI for the detection of behavioral and motor anomalies in patients suffering from neurodegenerative diseases, based on environmental and physiological parameters detected by a smart living environment.
FiorDaLiso: A project to exploit social and collaborative platforms to envisage a new organization of work that can present benefits for employees in terms of performance and well-being, and for the organizations in terms of growth and development.
Participants: Whitehall Reply, Teleskill, DOS Media, Pradac Informatica, DSTech, Department of Management and Department of Computer Science of Sapienza.
Funding: Regione Lazio FIORDALISO PROT. N. SVLAZ-VR-2012-1036
Link:
https://www.techeconomy2030.it/2017/02/10/108836/
Period: 2016-2017
E-linus: Ambient assisted living of the elderly
Period: 2021
Sensor-based Health analytics: anomaly and behavioural drift detection from sensors
Period: 2020-2022
University-funded Projects:
Ateneo 2014 (Sapienza) - WeSocial - Enterprise social networks for female empowerment and leadership analysis.
Ateneo 2015 (Sapienza) – Game4Bio - Gamification enable users to report, and to query, information on initiatives and opinions concerning local food traditions, food communities, food biodiversity and quality artisanal products.
Ateneo 2015-2016 (UnitelmaSapienza) - A recommender system for the Moodle learning management system and the WikiLOR learning object repository.
Ateneo 2016 (Sapienza) - The digital phenotype: integration of clinical data and social networks to create a complex and unified representation of common diseases.
Ateneo 2016-2018 (UnitelmaSapienza) - Augmenting the Web-based learning experience with recommendations from multiple sources
Ateneo 2018 (Sapienza) – Empower NGI – use of natural language processing and clustering techniques to identify key Future Internet technologies and true game-changers for the Internet in 2025, and discern specific technology roadmaps.
Ateneo 2018 (UnitelmaSapienza) - Extraction of structured and complex facts from large and heterogeneous text sources.
Ateneo 2019 (Sapienza) – Student drop out prediction using machine learning and temporal sequences.
Ateneo 2019 (UnitelmaSapienza) - LA @ US: Learning Analytics Unitelma Sapienza per monitorare e supportare i processi di apprendimento e insegnamento.
Active collaborations:
Poste Italiane: Funding of a 3-year doctoral scholarship on Machine Learning applied to financial data (2020-2023).
Unitelma Sapienza: Co-funding of a of a 3-year doctoral scholarship on machine learning applied to e-learning and drop-out predictions.
Harvard Medical School: Paola Velardi is member of the Steering Committee of the Network Medicine Consortium, leaded by Prof. Jospeh Loscalzo, head of Department of Medicine at Brigham & Women's Hospital, Harvard.
Data and Web Science Group, University of Mannheim, Germany: active collaborations with the NLP group directed by prof. Simone Paolo Ponzetto.
LIFIA: Laboratorio de Investigación y Formación en Informática Avanzada, National University of La Plata, Argentina directed by prof. Gustavo Rossi.
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