Research Doctorate in Mind and Technologies in the Digital Society
XXXVIII CYCLE

No of funded grants

4

Of which through PNRR funds

2

As per Min. Decree 351

2

As per Min. Decree 352

0

Website

HTTPS://WWW.CNR.IT/

1

ADRIANI

Walter

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

11/E1

11

M-PSI/02

Accepted

6602077046

0000-0002-0067-4430

2

AMMANITI

Massimo

UNINETTUNO Int. Telematic University

MEMBER

Temp. Contract Professor (art.1 par. 12 L. 230/05)

11/E4

11

M-PSI/07

Accepted

6602679905

0000-0002-2995-3839

3

CERNIGLIA

Luca

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L.240/10)

11/E4

11

M-PSI/07

Accepted

55506071400

0000-0002-6115-288X

4

CONTI

Livio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Confirmed Researcher

02/A1

2

FIS/01

Accepted

7102900872

0000-0003-2966-2000

5

DI MELE

Luciano

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Confirmed Researcher

11/D2

11

M-PED/03

Accepted

6

GIRELLA

Luca
Antonio

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L.240/10)

10/A1

10

L-FIL-LET/01

Accepted

57189685404

7

MASSI

Silvia

UNINETTUNO Int. Telematic University

MEMBER

Associate Professor (L.240/10)

12/G1

12

IUS/17

Accepted

57202250655

8

MOLL

Nora

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L.240/10)

10/F4

10

L-FIL-LET/14

Accepted

57189272795

9

PACIELLO

Marinella

UNINETTUNO Int. Telematic University

UNINETTUNO

Coordinator

Associate Professor (L.240/10)

11/E1

11

M-PSI/01

Accepted

24607689500

0000-0002-9023-0656

10

PINNA

Baingio

SASSARI

Biomedical sciences

MEMBER

Full Professor

11/E1

11

M-PSI/01

Accepted

6701797162

11

VIGANO'

Dario Edoardo

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Full Professor

10/C1

10

L-ART/06

Accepted

12

VILLARI

Anna

UNINETTUNO Int. Telematic University

UNINETTUNO

MEMBER

Associate Professor (L.240/10)

10/B1

10

L-ART/04

Accepted

1

CAPIRCI

Olga

CPRLGO64A64E472Y

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

Research Directors

M-PSI/04

11/E2

11

6602099928

NO

2

FERRI

Fernando

FRRFNN60L18I838I

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

Research Directors

ING-INF/05

09/H1

9

7102363937

SI

710566;
769497;
727474;
788503;

3

GRIFONI

Patrizia

GRFPRZ59A64A309D

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

First Researchers

ING-INF/05

09/H1

9

6602953342

SI

101006416;
820283;
788171

4

SCALA

Antonio

SCLNTN68A20F839D

Research Agency (VQR)

Consiglio Nazionale delle Ricerche

Italy

First Researchers

ING-INF/05

09/H1

9

7005366961

NO

1

Technologies and theories of the Mind

20

First year

The course provides the student with a detailed overview of the basics of theory and dynamics of mind. In particular, the general mathematical model and the computational model inspired by parallel distributed processing will be covered. The course will focus on the computer metaphor to understand the main paradigms for understanding the workings of the mind by looking for interconnections between social, cognitive and computational sciences. This will be made possible through the exploration and experimentation of "social simulation," it enables the study of the evolution of social behavior and the construction of theoretical models to explain it. Therefore, the micro and macro dynamics of social life will be considered through the integration of descriptive and experimental approaches, but also and especially between technology and society.

NO

SI

2

Data analysis

60

First year Second year

The first part of the course involves the acquisition of some preparatory and basic concepts for text analysis and text-mining. In particular, document clustering is a relevant area of applications in text mining. A method is introduced that takes into account the observed links between texts and keywords, through the tools of Social Network Analysis. Indexes of centrality are constructed to identify words and texts that assume a decisive "role" in certain situations. .

The topics discussed will be exemplified through the use of R software and case studies Case Study on Text Mining and Social Networks in R. In the second part of the course, automatic text analysis, as a natural context for the application of text mining tools, is explored in depth, during which the corpus of textual data is treated for annotations of lexical and textual units useful for the extraction of information from texts or their automatic categorization. Some study strategies for qualitative text analysis are outlined foreshadowing the use of tools from computational linguistics.  Tools and techniques are considered for selecting information at the lexical level by weighting and selecting words according to different objectives, as well as for extracting entities of interest at the textual level, mostly aimed at ETL processes (transformation of unstructured data into structured information). Examples of statistical-linguistic resource construction (from frequency lexicons to local grammars), as well as automatic document categorization and "sentiment" analysis are also described. Finally, applications of conceptual analysis using the Taltac 2.10 platform are illustrated. The third part of the course will address Sentiment Analysis, its origins, approaches and applications on the Web.

NO

SI

3

Man – machine interaction

30

First year

This course is aimed at the study of the psychological processes involved in the interaction between the individual and technology, as well as design activity (or design support) that takes these processes into account. Specifically, the course will cover the following topics: evolution of the interface concept, human biology and interaction with technologies, situational awareness, human error and accident analysis, usability and accessibility, operator functional state and automation, information architecture, neural systems, and human-robot interaction. In addition, methodological aspects of ergonomic research will be explored by delving into techniques such as eye-tracking, neuro-imaging and body signal detection.

NO

SI

4

Web tools for social media

30

First year Second year

The course aims to prepare the student for the analysis of social interactions on online platforms (social media). The student will acquire practical skills for managing connections to data sources and analyzing the data obtained. He will also acquire cognitive elements that will enable him to analyze and recognize the different dynamics and variables at play in online interactions, such as virtual group formation, reputation management, virality of information He will develop skills in understanding the structural, functional and communicative factors that characterize the various types of virtual entities within both formal and informal ICT contexts. The student will be able to critically and personally analyze relational and social phenomena from the knowledge and skills learned, relating and comparing the major strands of study and the results of the most important research in the field. Autonomy of judgment will be fostered through the study, analysis and discussion of research findings, in-depth study and discussion of the most relevant research in the field.

NO

SI

5

Technologies for information processing

40

Second year Third year

The computer science course aims to introduce the basic concepts of computer science with an emphasis on programming. Course topics include: computer architecture, information coding, software, algorithms, networks, computer security, and high-level programming. The course also introduces the new technologies of the third millennium and begins the journey of learning programming in the C language, which will be brought to completion in the subsequent teaching of Algorithms and Advanced Programming.

NO

SI

6

Basics of Big Data

20

Secondo anno Third

The Introduction to Big Data course aims to introduce the concepts of storing, managing, querying and analyzing big data. Course topics include: computer clusters; programming for big data; cloud computing; big data management; non-relational databases; data analysis methods; sources of big data (social networks, semantic web, biomedical databases ...).

NO

SI

7

Emotion and Motivation

20

First year

This course introduces the study of the main theoretical models and empirical contributions in the field of the Psychology of Motivation and Emotion, through a historical analysis to acquire the fundamental tools for understanding the evolution of research in the field and on the methodologies employed. The main theories of motivation will be analyzed, from instinctual and drive models to theories of homeostasis and activation. The distinction between primary and secondary motivation and the hierarchy of motivation will also be presented. Finally, after a historical review of theories of emotion, the main contemporary perspectives will be illustrated by explaining the research methods and knowledge achieved in neuropsychology and psychophysiology of emotion, analyzing brain correlates and associated somatic changes.

NO

NO

The course is aimed primarily at doctoral students not majoring in psychology

8

Transactions and changes over lifetime

20

First year

The course will provide an introductory description of the theories of developmental psychology and then delve into the development of the whole person over lifetime. The teaching will be divided into macro-topics so as to facilitate the student's understanding of the main themes of the course, which intends to provide a comprehensive overview and necessary skills by analyzing the changes that occur in the psychological functions of different developmental stages.

NO

NO

The course is aimed primarily at doctoral students not majoring in psychology

9

Basics of Artificial Intelligence

40

Second year Third year

Artificial Intelligence (AI) is an ever-expanding field that making use of knowledge and technological developments from different disciplines now pervades multiple areas of our reality. The course aims to be both an introduction to the discipline of AI (and its origins) and an overview of its main research areas and tools. In particular, The course aims to provide basic knowledge regarding the development and state of the art of Artificial Intelligence as a multidisciplinary field straddling Cognitive Science, Neuroscience, Robotics and Machine Learning. The student will acquire tools and knowledge that will enable him or her to critically read scientific advances in this area both from a technological perspective and from the perspective of the study of mind and cognition. The course will show how AI and Cognitive Science influence each other, leading on the one hand to the development of new applications and on the other hand to a greater understanding of biological agents (and human beings in particular)

NO

SI

1

Seminars

As part of the Ph.D. program, there has been and will continue to be an intensive series of seminars focused on the theme of complexity in a variety of areas: from the natural sciences to social systems, from law to neuroscience, from cognitive processes to art. We have chosen complexity because it is a macro-theme, deeply interdisciplinary, that can involve the research of many if not all doctoral students and thus fits an offering that can potentially interest students with even very different degrees and backgrounds such as our enrollees. On average, two seminars are given per week with non-compulsory attendance. These are a series of lectures and debates between researchers from different disciplines, both from UNINETTUNO and from other universities and research institutes, aimed at connecting fields that may be far apart, but that often share-sometimes unconsciously-the study of complex processes with related case histories, structures and evolutionary trends. Complexity is an inescapable character of life; of many-body physical systems; of the organization of biological organisms; of cultural, linguistic and psycho-social processes; of climatic dynamics; and of many other fields. Sometimes it is difficult to distinguish between complicated and complex. Precisely because of this, the term complexity often takes on very different meanings and uses in the various disciplines, to the point that it is difficult to find a sufficiently broad and at the same time sufficiently precise and operational definition of it that can be applied fruitfully and not just taxonomically to the various fields of science and research. The goal is to explore and share the most recent advances in the study of the macroscopic and detailed dynamics of the complex systems of which we are composed and in which we live immersed

2

Research and knowledge management of European and international research systems

The PhD Mind and Technologies in the Digital Society is characterized not only by interdisciplinary interaction but also by the focus on international comparison and intercultural dialogue. For this reason, doctoral students on the basis of their research interests will have the opportunity to participate in applied research activities related to the numerous EU projects present within the University - both in the conception phase and in the presentation and implementation phase. In particular, the activities that will allow doctoral students to develop knowledge and skills in the design of international research programs will concern: the use of international databases for monitoring research calls; the identification of priority research lines at the national and European policy level; support in the writing of technical-scientific proposals and project documents; observation of the management and programming of project actions; participation in interchanges with international working groups and observation of interrelationships with foreign institutions. The above activities will be supervised by the lecturers in collaboration with the University's project management experts

3

Enhancement and dissemination of results, intellectual property, and open access to research data and products

The workshop in "academic writing" aims to provide doctoral students with the knowledge and skills necessary to write scientific texts accurately and consistently considering the specifics of the disciplinary areas in the doctoral program. In detail, starting from the production of a paper of their interest, doctoral students will learn how to structure texts of different genres and develop and support their research hypotheses with appropriate sources. Feedback from the lecturer and the class will also aim to improve doctoral students' ability to revise their source work and clarify their contribution to the scholarly literature in terms of originality and innovation. Particular attention will be paid to ethical issues and the risks of academic plagiarism

4

Seminars

Doctoral students will be actively involved in the organization and implementation of thematic seminars aimed at deepening theoretical perspectives and innovative methodologies associated with the lines of research approved by the doctoral faculty. The meetings, which may be held in-person or online, have the dual function of (1) promoting exchange among doctoral students, faculty members of the commission and external experts and (2) fostering dialogue between psycho-pedagogical disciplines, disciplines from the field of formal and experimental technological sciences and humanities, social and legal

A – Positions to be recruited with the call

1. Positions with grants to be recruited

No. 2

(PNRR grants included)

2. Positions covered by research grants

No. 0

3. Position covered by apprenticeship contracts

No. 0

Subtotal amount of funded positions

No. 2

(A1+A2+A3)

4. Any positions without grant

No. 1

B – Positions with grants reserved to graduates in foreign universities

No. 2

C – Positions reserved to grant holders from foreign countries

No. 0

D – Positions reserved to grant holders within specific international mobility programs

No. 0

E - In the case of industrial doctorate, the positions reserved to employees of enterprises or employees of partnering institutions engaged in high-skill activities (with salary retention)

No. 0

F – Positions without grant reserved to graduates in foreign Universities

No. 0

(G) TOTAL = A + B + C + D + E + F

No. 5

(H) OF WHICH WITH GRANT = TOTAL - A4 - F

No. 4

Amount of each position with grant (annual amount before social security charges payable by the recipient)

(1) Euro: 16.243,00

Total Euro: (1) x (H-D) x no. of course years

€ 194.92

Per capita annual budget for each position with and without grant for research activities in Italy and abroad consistent with the research project (in % terms of the annual value of the grant before social security charges borne by the recipient)

(Min. 10% grant amount; min. 20% for national doctorates): %10,00

(2) Euro: 1.624,3

Total Euro: (2) x (G-D) x no. of course years

€ 24.364,5

Additional amount per month of research stay abroad for each position with and without grant (in % terms of the monthly value of the fellowship before social security charges borne by the recipient)

(MIN. 50% of monthly grants amount): %50,00

Months (max. 12, or 18 for doctoral students in co-support or with foreign universities): 6,00

(3) Euro: 4.060,75

Total Euro:

€ 20.303,75

(3)x(G-D)

Overall BUDGET of the Doctorate course

€ 239.584,25

University funds (in associated forms, the prime contractor)

199.653,54

83.33

University Funds

MUR Funds

0,00

0

Of which any PNRR funds

120.000,00

No. 2 PNRR grants as per Decree 351/2021

Funds from other Ministries or other public/private boards

0,00

0

Of which any PNRR funds

0,00

Funds from competitive call at national or international level

39.930,71

16.67

H2020; Project Name: GreenSCENT NUMBER: 1033756

Funds form other entities participating in the contract/consortium (in case of associated form doctorates)

0,00

0

Other

0,00

0

Total

239584.25

Research journeys (ITALY – outside involved institutions)

NO

Months 0

Months: 0

Months: 6

Research journeys (ABROAD within involved institutions)

NO

Months 0

Months: 0

Months: 6

Research journeys (ABROAD - outside involved institutions)

SI

Months 6

Months: 0

Months: 6

Equipment and/or Laboratories

Thanks to agreements already signed, doctoral students will be able to access the laboratories and equipment of the CNR institutes. In addition, all technological and multimedia resources in the University will be available and accessible remotely.

Library assets

Book amount and coverage of course topics

UNINETTUNO’s Central Library has more than 1,100 volumes, largely pertaining to the topic of technologies in different subject areas.

Journal subscriptions (number, issues owned, coverage of course topics)

Given its online nature, the University from the beginning decided not to subscribe to print journals, instead providing access to online journals.

E-resources

Databases (access to the content of sets of journals and/or publishing series)

The University, both through its agreement with the CNR and through subscription to digital databases and catalogs, provides access to Publishers and Electronic Scientific Resources. Specifically, access is currently provided to nearly 6,000 electronic journals (including all those published by Elsevier, Springler, IEEE, Wiley, Taylor&Francis) and more than 126,000 e-books.

Software specifically relevant to the intended areas of research

The University is already able to carry on data analysis (SPSS; M-Plus), design (Autocad) and software development (Eclipse Neon) software available to doctoral students. The INQUISIT WEB platform for online data collection is available to doctoral students. The University is also in the process of expanding its software for online data analysis.

Spaces and resources for doctoral students and electronic computing

The University provides doctoral students with a work space in its premises, equipped with dedicated computing resources.

Other

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Are doctoral students expected to engage in supplementary teaching activities?

YES

Expected hours: 50

Are doctoral students expected to carry out third mission activities?

YES

Expected hours: 25