Data and impact

H2@EDGE

H2@Edge - Idrogeno a supporto delle telecomunicazioni in condizioni di criticità energetica
Periodo: Dicembre 2025 - Giugno 2028
H2@Edge, finanziato dalla Regione Piemonte nell’ambito del bando SWIch edizione 2024, intende affrontare le situazioni di criticità energetica in ambito TLC con il ricorso ad una soluzione basata sull’idrogeno verde. Prevede una partnership "cross settoriale", che include PMI piemontesi dei settori delle telecomunicazioni (TRC Srl), dell’ICT(EURIX) e dell'impiantistica (TECNODELTA Srl), oltre a vari dipartimenti dei due atenei torinesi, tra cui POLITO-DENERG e UNITO DIP di CHIMICA. Il Consorzio TOP-IX coordina le attività.

SAGE

The Data Space for a Sustainable Green Europe
Period: March 2025 - March 2028
SAGE will establish the Green Deal Data Space (GDDS) aimed at enhancing the accessibility, integration, and utilisation of green and environmental data across the EU to support key pillars of the European Green Deal—Zero Pollution, Climate Adaptation, Biodiversity, and the Circular Economy. Building directly upon the GREAT project community and results, and aligning with the Digital Europe Programme's strategic focus on AI, cybersecurity, advanced computing, and data infrastructure, SAGE leverages outcomes from the European Strategy for Data and research facilitated by Horizon Europe.

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TOP-IX è partner del consorzio EU

SM4RTENANCE

Trusted Data Sharing for Manufacturing Equipment Industry
Period: October 2023 - September 2026
SM4RTENANCE aims to connects key ecosystems, standards, experimentation facilities and data space development building blocks with the aim to secure growth and economies of scale for future multi-stakeholder predictive maintenance and supply chain data spaces across their full lifecycle, adopting common European data space principle, technical infrastructures, vocabularies, data models and business agreements.

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TOP-IX is partner of the EU Consortium

Volley Data Analyst

Match/opposition analysis and talent scouting in volleyball
Period: 2023 - Ongoing
It's the data analysis course aimed at the world of volleyball. A training program born with the goal of developing a data-driven culture within volleyball organizations, targeting scouts, coaches, data enthusiasts, data scientists, and sports executives.

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In collaboration with

Impact Deal

Data-driven acceleration program for European enterprises committed to generating societal impact
Period: 2022 - Ongoing
The initiative boosts the growth of entrepreneurial ventures capable of generating measurable positive societal impact thanks to the access to proprietary datasets (owned by Data Club companies and entities), the creation of public-private collaboration models or between large and small enterprises, and the access to investment capitals. TOP-IX is the operational partner of the project.

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A project by

Football Data Analyst

The new frontier of match analysis and scouting
Period: December 2022 - November 2025
Training course aimed at equipping Italian professional football clubs with the tools to manage the vast amount of data generated by the digital revolution and the use of wearable devices and tracking systems. The goal is to create and train the Football Data Analyst, a new professional figure capable of extracting value from data to support the team's strategy and technical activities.

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In collaborazione with

CorDATA

CivicTech and Data Science for the International Cooperation
Period: 2019 - 2021 (Project completed)
A course designed for organizations engaged in International Cooperation seeking to explore how data science and civic technologies can generate social impact and competitive advantage in developing projects within the Third Sector. Project supported by Fondazione Cariplo and Fondazione Compagnia di San Paolo, realized by TOP-IX, ISI, and Moxoff, in collaboration with HeartInData.

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In the context of the program

BIG DIVE

Hacking Development, Visualization and Data Science
Period: 2012 - 2020 (Project completed)
Intensive training program aimed at developing skilled professionals in the management and utilization of BIG DATA. Participants delve into topics such as Data Science, Machine and Deep Learning, Data Visualization, and Data Engineering through lectures and real project development. A program developed in collaboration with ISI, TODO, and Axant.

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In collaborazione with