Training

– Module 1 | Knowledge transfer, intellectual property protection and valorization
Registration | You can access the platform and enjoy the module content offline until the general registration deadline
Workshops |
Feb. 26, 2024 | 2 p.m. – 6 p.m. | IP Protection and Valorization: success stories and best practices
Feb. 27, 2024 | 9 a.m. – 1 p.m. | Designing a KTT strategy: success stories and best practices
July 15, 2024 | 10 a.m. – 4:30 p.m. | Mediatraining – Communication and External Relations Directorate

– Module 2 | Vocational training for deep tech entrepreneurship
Registration | You can register from September 3, 2024
Workshop |
Oct. 3-4, 2024 | Professional training for entrepreneurship in the advanced technology sector.
To participate in the Workshop, you must complete the offline streaming training no later than September 27, 2024

– Module 3 | Capabilities4Innovation and knowledge transfer management
Registration | Starting from November 15, 2024. The expected time for completing the content is approximately one month.
Workshops | Winter 2024. The dates for the in-person workshops will be announced shortly, along with the deadline to complete the offline streaming training, which is required to participate in the event.

The online modules take place on the UniGe Moodle platform.
Students who have registered by the deadline can access via login with SPID or with UniGe credentials, for the entire course or the single module.
– Log in

– Nicoletta Buratti | University of Genoa | Coordinator of the RAISE Training Program
Associate Professor in Economics and Business Management at the University of Genoa, where she carries out her training and research activities on topics related to innovation management, high tech entrepreneurship, and the marketing of new products.
Member of the University Technology Transfer Commission, she designed and coordinated specialist training courses on innovative entrepreneurship, innovation management, the transfer of knowledge from research to the market, digital transition.
She is the author of numerous peer-reviewed scientific publications and reports at academic conferences; she is a member of the Italian Marketing Society, within which she coordinated the Technology and Innovation Marketing thematic section for several years.
As part of the RAISE Project she is responsible for the Training Plan and the Deep Tech Observatory project.
She is currently a Board Member of Raise Scarl.

– Maria Carmela Basile | National Research Council | Coordinator of Module 1
Head of the Research Valorisation Unit of the National Research Council.
It deals with the protection, management and valorisation of intellectual property, support for the creation of spin-off businesses, promotion and management of technology transfer projects, implementation of strategic partnerships with public and private entities to support research and innovation.
Member of Institution Committees and Commissions regarding the evaluation of the Third Mission, support and financing for the PoC, definition of policies and regulations of industrial property. She designed and coordinated training programs on technology transfer dedicated to researchers and businesses.
She is involved in various national and international projects for the innovation and internationalization of companies.
She works on various PNRR projects to support the processes of valorisation of results and open innovation; coordinates the participation of the CNR in Spoke 5 (Tech Transfer & Development) of the RAISE Ecosystem.

– Andrea Pagnin | Italian Institute of Technology
Andrea Pagnin is te head of the Innovation and Development Office of the Italian Institute of Technology within the Technology Transfer Directorate dealing with innovative projects of strategic and macroeconomic value for technological and knowledge transfer. He has an entrepreneurial background and has founded two start-ups. He also has in-depth experience in developing innovation positioning strategies on the market.
At IIT he previously worked in the intelligent humanoid robot research and development team at the Center for Robotics and Intelligent Systems, where he gained significant experience in analyzing the development of complex systems. He has a research background in the field of territorial economics and spatial development logics.
Andrea Pagnin currently holds the role of Spoke 5 Coordinator (Tech Transfer & Development) within the RAISE Innovation Ecosystem.

– Research-innovation transition management;
– Fundamentals of Knowledge Transfer and Technology (KTT);
– Protection and valorisation of intellectual property (IP);
– Legal and contractual aspects of the KTT;
– Economics and management of the Deep Tech Start up (DTS);
– Identification of opportunities and business model development;
– Communication for the value proposition and construction of the brand;
– Acquisition of financing and management of the relationship with financiers;
– Development of critical thinking and problem-solving skills;
– Networking and stakeholder engagement.

– Coaching and mentorship;
– Mentorship program in two editions;
– Technological feasibility analysis and scaling model;
– Strategic acceleration and business optimization;
– Specialist support on vertical topics;
– Definition and structuring of investor decks and pitches.

– The course is composed of 3 modules, each module is structured into 30 micro-learning videos (20 minutes each);
– Thematic in-person workshops at the end of each module;
– Registrations for the complete course or individual modules;
– Unlimited access to training activities;
– In person coaching and mentorship.

The learning path is structured into 11 modules, delivered via offline streaming, available on the dedicated platform starting from November 22, 2024:
– 4 mandatory basic modules;
– 7 elective specialization modules, customizable according to the specific needs of the participants and the business processes they are involved in. The modules are divided into 20-minute micro-learning videos.

Following this, a schedule for in-person meetings (starting from February 2025) and details about coaching activities will be provided.

In-person events: 8 in-person events, each lasting 2 hours, are aimed at promoting networking among participants and presenting successful case studies of local companies, both SMEs and startups, that have effectively developed and/or implemented AI and robotics applications in their activities.

Coaching: the service provides each participant with the assistance of an expert professional to deepen the knowledge acquired during the module and integrate it into the business context in which they operate. The coaching is designed to provide significant support to managers, employees, and entrepreneurs of SMEs to increase their awareness of the potential of AI and robotics, with specific reference to the business context and the sector in which their company operates.

The online modules take place on the UniGe Moodle platform.
Students who have registered by the deadline can access via login with SPID or with UniGe credentials, for the entire course or the single module.
– Log in

– Prof. Nicoletta Buratti
Associate Professor – Department of Economics – University of Genoa

– Prof. Giorgia Profumo
Full Professor and Head of Department – Department of Economics – University of Genoa

– Dr. Francesco Vitellaro
Fixed-term Researcher – Department of Economics – University of Genoa

4 modules dedicated to mandatory basic training activities (approximately 7 hours)

Topics:
– Companies and Digital Transformation: Key Concepts;
– Artificial Intelligence and Machine Learning;
– Data Science;
– Robotics.

7 elective specialization modules, customizable according to the specific needs of the participants and the business processes they are involved in, divided into 20-minute micro-learning videos

Topics:
– Applications of Artificial Intelligence and Machine Learning in Decision-Making;
– Applications of Artificial Intelligence and Machine Learning in Customer Value Creation;
– Applications of Artificial Intelligence in Financing and Administration Processes;
– Applications of Artificial Intelligence and Machine Learning in Operational Processes;
– Applications of Artificial Intelligence and Machine Learning in Logistics and Supply Chain;
– Applications of Robotics in Operational Processes;
– Applications of Robotics in Logistics and Supply Chain.

The learning path also includes the organization of 8 in-person events, each lasting 2 hours, on topics covered by the basic and specialization modules.

Topics and speakers involved in the in-person events:
– Artificial Intelligence as a Tool for Strategic Choices;
– Marketing, Advertising, and Internationalization in the AI Era;
– Applications of Artificial Intelligence in Administration, HR, and Management Control;
– The Effects of AI and Machine Learning on Business Operations;
– The Role of Artificial Intelligence in the Logistics Chain of SMEs;
– Practical Applications of Robotics in SMEs;
– Robotics in Logistics and Operational Management.

The training activities on the platform will be accessible without limitations.

The learning path is structured into 11 modules, delivered via offline streaming, available on the dedicated platform starting from November 22, 2024:
– 4 mandatory basic modules;
– 7 elective specialization modules, customizable according to the specific needs of the participants and the business processes they are involved in, divided into 20-minute micro-learning videos.

Candidates must be regularly enrolled in a Master’s or PhD programme at the University of Genoa (UniGe).
Candidates must include the following in their application:
– Proof of enrolment in a Master’s or PhD programme (certificate obtained via UniGe online services or a self-certification declaration).
– A brief curriculum vitae detailing academic background and extracurricular activities relevant to participation in the OFFICINAE RAISE course.
– A motivation letter explaining their interest in the course, personal and professional goals, prior experience in related fields, and any entrepreneurial ideas or initiatives already undertaken.

Applications must be submitted exclusively via email to formazione.raise@unige.it no later than 20 January 2025.
Further details are available here.

The training programme is delivered in person and includes:
– Three Tool Courses (8 hours each, delivered over two half days), held at the Talent Garden in Genoa between March and May 2025;
– An Intensive Bootcamp (3 days), scheduled for 4-6 June 2025 at the Imperia Campus.
The course will be conducted in Italian, while study and supplementary materials will be provided in English.

The programme is in-person; selected participants will be required to access the platform RAISE Liguria on AulaWeb to complete an initial mandatory questionnaire for all RAISE training activities.

Prof. Nicoletta Buratti
Associate Professor – Department of Economics | University of Genoa
Dr. Francesco Vitellaro
Fixed-term Researcher – Department of Economics | University of Genoa
Dr. Miriam Molinari
Senior Innovation Manager – Technology Transfer | Italian Institute of Technology

Participants will develop and refine skills in applying methodologies such as design thinking, business model development and storytelling & public speaking to create innovative entrepreneurial ideas in the fields of robotics and artificial intelligence.
Key areas include:
– Understanding human needs, desires, and behaviours to design products/services that effectively address societal demands.
– Gaining strategic thinking skills to formulate coherent and distinctive value propositions supported by sustainable business models.
– Enhancing communication skills to deliver compelling and persuasive presentations to key stakeholders.
These topics will be individually addressed during the Tool Courses and practically applied during the Bootcamp, through teamwork activities supported by instructors and industry experts.

A maximum of 40 participants will be selected:
– 30 places reserved for Master’s students;
– 10 places reserved for PhD students.
Candidates will be evaluated based on their curriculum vitae and motivation letter.
The ranking will be published on the RAISE Liguria website by 31 January 2025, listing only matriculation numbers to ensure candidate privacy. Selected applicants will receive direct instructions for completing their enrolment.
If places allocated to each category are not filled, vacancies will be redistributed to the other category, adhering to the maximum limit of 40 participants.

23 courses are scheduled during 2023/24 academic year, they are divided into basic, intermediate or advanced levels and can be accessed based on previous skills.
The training courses will be released during the year, will be available on the platform and accessible without limitations.
For more information on the courses, consult the dedicated page.

Teaching is delivered through interactive videos on the RAISE Aulaweb, platform which can be followed in asynchronous mode and independently.
Students can access the platform with UniGePass credentials, while citizens can authenticate via SPID.

– Fabrizio Bracco | University of Genoa | Coordinator of the BASIC AI & ROBOTICS SKILLS AT UNIVERSITY LEVEL project
Fabrizio Bracco is associate Professor in Work and Organizational Psychology at the University of Genoa, where he carries out training and research activities on the topics of workplace safety, human factors and interaction between people and technologies. He is also the Rector’s Delegate for teaching innovation and faculty development, an area in which he coordinates the Unige Teaching and Learning Centre, dedicated to training teachers in innovative teaching. As part of the RAISE project, he provides methodological support for digital teaching and is responsible for the BASIC AI & ROBOTICS SKILLS AT UNIVERSITY LEVEL project.

At the end of each course, everyone will be issued an Open Badge and, for UniGe students, also 1 CFU to be included among the additional credits.

The courses have a total duration of 25 hours, divided into modules of approximately 30 minutes as follows:
– Teaching (4 hours);
– Quizzes, games and exercises (4 hours);
– Self-learning: in-depth materials such as articles, videos, sites, etc. recommended by the teacher (17 hours).

– to consolidate “digital culture” so that it is the driving force and guide of administrative action;
– to define and systematise sets of key skills according to the different professional profiles and the different role assumed in the process of implementing digital transformation, with particular attention to Artificial Intelligence;
– to promote an empowerment action to enable public employees to autonomously, effectively and efficiently implement artificial intelligence services within public administrations (services and processes).

The project is composed of 3 courses named PIANO, each with different objectives and targets, within the Public Administration staff.
– PLAN 1 | Basic course aimed at all PA employees
Modality: 30 20-minute microlearning videos and an in-person workshop
Period: May – July 2024
Registrations are open for the training course “Introduction to digital transformation and its role in the PA”
– PLAN 2 | Advanced e-leadership course aimed at Administrative officials and managers
Modality: in-person
Modality: in person
Period: first edition September 2024 – second edition summer 2025
Registrations are open for the training course “E-leadership skills for digital and aware management”
– PLAN 3 | Advanced e-procurement course aimed at technicians and administrative officials with particular reference to e-procurement personnel and those responsible for the transition to digital
Mode: blended
Period: September 2024

The online part of the different PIANO takes place on the UniGe Moodle platform.
Participants can access via SPID login or with UniGePass credentials: go to the RAISE Aulaweb Platform

– Luca Gandullia | University of Genoa | AI FOR PUBLIC ADMINISTRATION project coordinator
Full professor of Public Finance and Regional and Local Government Finance at the Department of Political and International Sciences of the University of Genoa. He is the creator and director of the Master in “Innovation in Public Administration”, the Master in Public Management for the Liguria Region (MAREL) and numerous advanced training courses for public employees. He carries out research and consultancy for public and private entities.
He was a Tax Analyst at the OECD in Paris, where he is a consultant and expert consultant at the Court of Auditors in Rome (Coordination of the Regional Control Sections). Furthermore, he was a member of the Joint Technical Commission for the Implementation of Fiscal Federalism (COPAFF) established at the Ministry of Economy and Finance. Since 2015, he has been the president of Liguria Ricerche S.p.A.

– PLAN 1 | Basic course aimed at all PA employees: offers a basic understanding of the fundamental principles of artificial intelligence and robotics, together with a comprehensive overview of their practical applications and the ethical and legal consequences related to the adoption of advanced technologies in public administration.
– PLAN 2 | Advanced e-leadership course: offers the opportunity to develop e-leadership skills necessary for reflective and aware digital management, e-management skills necessary for digital management, communication, collaboration, decision-making and problem-solving skills in a digital context.
– PLAN 3 | Advanced e-procurement course: offers the opportunity to learn about the use of digital technologies for managing the procurement process and the benefits of e-procurement to improve efficiency, reduce costs and increase transparency and accountability.

At the end of each individual PIANO, all participants will be issued an Open Badge RAISE after they have successfully completed the online test.

The online course, which will be held dal 18 settembre al 18 dicembre 2024, is divided into 5 modules (including synchronous and asynchronous activities) and it is organized in a learning-by-doing mode, allowing the teacher to apply the knowledge acquired gradually in the classroom:

– Module 1 | Introduction to AI, robotics and prospective thinking (8 hours – 2 weeks);

– Module 2 | Why it is important to talk about the future (10 hours – 2 weeks);

– Module 3 | The Backasting method (7 hours – 1 week);

– Module 4 | Design prospective reflection activities in class (5 hours – 1 week);

– Module 5 | Carry out the planned activity in class (20 hours – 3 weeks).

The online modules take place on the UNIGE Moodle platform.
Students who have registered by the deadline can access via login with SPID or with UNIGE credentials, for the entire course or single modules.
– Log in

– a video conference to present the proposed activities;
– short videos (approximately 2-3 minutes) on the topics covered;
– support material with examples of AI&R application (also from an educational perspective);
– consolidation activities.

The course can be used in two ways:
– Use of the theoretical part only, which involves participation in Modules 1, 2 and 3 and the release of training credit (25 hours of training) from ITD-CNR pursuant to MIUR Directive n. 170 of 03.21.2016 on the Accreditation of Training Institutions.
– Complete use, which involves the completion of all modules (including experimentation in class with your students amounting to approximately 10 hours in the March/April period). At the end of the course, the RAISE Open Badge and training credit (50 hours of training) will be issued by ITD-CNR pursuant to MIUR Directive no. 170 of 03.21.2016 on the Accreditation of Training Institutions.

– Roberto Poli | Full professor at the University of Trento
He obtained the first UNESCO Chair on anticipatory systems and directs the Master in social forecasting.
He is President of AFI-Association of Italian Futurists and -skopìa, a start-up of the University of Trento.
He is a member of the WAAS-World Academy of Art and Science. He edited the Handbook of Anticipation (Springer 2019), the most extensive review ever published on the different ways in which sciences, disciplines and communities of practice use the future, and published both in Italian and English an introduction to futures studies, ( En: Working with the future. Ideas and tools for managing uncertainty (Egea 2019)).
Overall he has published over 250 scientific articles and eight books. He is editing the Handbook of Futures Studies, which will be published by Elgar in 2024.

– Augusto Chioccariello | Researcher at the Institute for Educational Technologies of the National Research Council in Genoa
He has participated and coordinated numerous national and international projects financed by EU, MURST, CNR and companies.
His research interests include: tools for learning, communication, computer-mediated collaboration, microworlds for learning scientific concepts.
The ongoing research activity is focused on studying the potential of using robotic kits as a tool for learning by playing.
Previously, from 1982 to 1986 he was an associate researcher at the Educational Technology Center of the University of California at Irvine where he worked on physics teaching and dissemination of the scientific method.
In the summer of 1996 he worked at the Media Lab at MIT thanks to a NATO senior researcher fellowship where he worked on programming environments for children.
From 2004 to 2006 he was scientific director of the interactive laboratory “La bottega dei robot” of the National Museum of Science and Technology in Milan.

– Manuel Gentile | Researcher at the Institute for Educational Technologies of the National Research Council and head of the Palermo branch of the ITD.
Research Council and head of the Palermo branch of the ITD.
His research activity concerns the definition of methodologies and environments to support learning and teaching.
He has participated in several national and international research projects for the design and implementation of mobile learning platforms, educational Serious Games and systems for the production, sharing and collaborative organization of educational resources.
Currently, his activity focuses on the themes of embodied cognition, the design of games and the application of artificial intelligence in the educational field both for the development of ad hoc systems and for the analysis of the impact of these technologies on educational systems.
He is a member of the National Observatory on AI of the CNR and co-head of the thematic table AI for Education and Education for AI.
He has several scientific publications in the field of Serious Games and on the application of AI techniques in the design and creation of Serious Games.
He is currently scientific coordinator of the European SuperCyberKids project and head of the CNR unit within the European Erasmus+ KA3 project, Artificial Intelligence for and by Teachers – AI4T.

– Acquire basic knowledge on AI&R and Anticipatory Thinking;
– Knowing how to design short educational activities capable of stimulating critical and prospective reflection on the part of students on the applications and possible evolutions of AI&R;
– Know AI&R applications in teaching.