OPEN GOVERNMENT
Instructional goals
The course is aimed to get the following goals: To provide a good understanding of the basic issues, concepts and practices of e-government, open government and digital democracy; To provide a basic understanding of the Internet as a public space with its relationships with social participation practices; To provide the basic tools for the study of the relationship between media, communication technologies and politics; To provide the tools for drafting projects and for participating to competitive call for funds.
Intended learning outcomes
Dublin’s descriptors
Students must achieve:
1. Knowledge and understanding: of the forms and languages of political technologies through the acquisition of theoretical skills on models of governance with particular attention to the participatory forms and to the relationships between media and power.
1.1. Students achieve this basic knowledge through the class attendance and the study of the texts discussed in the classroom.
2. Ability to apply knowledge and understanding: through the ability to analyse platforms, policies and processes of digital governance by applying the main analytical methods.
2.1. Skills acquired through online and offline workshops.
3. Judgment skills: a critical reflection on the evolutionary dynamics of the relationships between technologies, politics and society and on the ongoing transformations of governance and public administration.
3.1. This ability must be applied through discussion with the teacher and colleagues, during the exercises and in the preparation of the final exam.
4. Communication skills: students are called to interact online and offline through questions, exchanges with classmates, drafting short presentations during the exercise.
4.1. Skills that are practised in the classroom with the organization of moments of discussion and exercise.
5. Learning skills: students are asked to adopt a critical learning method capable of connecting theoretical skills and empirical analysis, orienting themselves to the specification of autonomous thought.
5.1. Skills to be strengthened thanks to the argumentation with the teacher and with the classmates.
Course Contents
Principles of Open Government: Transparency, Participation, Collaboration The Digital Transformation of Public Administration as an Enabler of Open Government Overview of Digital Architectures and Key Infrastructures in Public Administration: Public Cloud, Interoperability, History of Telecommunications and Internet Networks, National Recovery and Resilience Plan (PNRR), and Ultra-Fast Networks The Evolution of Communication by Italian Institutions The Structure of Italian Public Administration in the Digital Era: AGID (Agenzia per l'Italia Digitale), Department for Digital Transformation Regulatory Framework for Digitalization; Public Data Lifecycle Management: Acquisition, Preservation, Availability Digital Transparency Legislation (Legislative Decree 33/2013) The Evolution of Civic Access. Key Actors in Access: Active Citizenship, Civic Monitoring, and Accountability Principles of Open Access and Open Source AI for Transparency Technologies for Data Publication Principles and Standards for Open Data (Open Formats, Metadata, Licensing) Data Visualization: Tools and Techniques to Make Data Understandable and Usable E-Participation Platforms: History, Features, Functionality, and Adoption Gamification and Digital Incentives for Civic Participation AI for Civic Participation and Civic Participation for the Co-Design of AI Systems Introduction to AI: Data, Algorithms, Systems Types of Algorithms and Their Potential Uses in the Public Sector History of AI in the Public Sector: Adoption Models, Case Studies, Implications Project Management Principles for Digital Initiatives in Public Administration Ethical Principles for AI: Fairness, Transparency, Trustworthiness, Non-Discrimination EU AI Act: Analysis of Key Provisions and Implications for Public Administration GDPR and Data Protection in the Age of AI and Open Data Building Trust in Public AI-Based Systems: Certifications, Audits, Human Oversight Cybersecurity Threats in Open Data and AI Usage Principles of Sustainability: From the 2030 Agenda to Today Participatory Tools for Sustainability Policies Supply Chains for Digital and AI Technologies Impact Assessment of Technologies National and International Strategies on AI in the Public Sector New Professional Skills Required in Public Administration: Data Scientists, AI Ethicists, AI Engineers
Reference Books
Lovari, A., & Ducci, G. (2022). Public Communication: Institutions, Practices, Platforms (selected excerpts) • Additional in-depth readings will be made available on the Learn platform.
Teaching Methods
The course includes lectures with the use of multimedia presentations and seminar activities in the classroom, as well as online activities via the Moodle platform
Other "collaborative learning" platforms will also be used.
Based on the "enquiry-based" approach, the following activities are planned
- role-playing, simulation and classroom presentations;
- exercises and debates
Guidance will be provided for in-depth bibliography on specific topics.
The course is seminar-based in nature and envisages classroom activities and continuous assessment: there will therefore be no mid-term test.
Assessment Method
Attending Students:
Please note that the course is delivered in a seminar format and the exam will be conducted through a series of tests and in-class activities throughout the semester. Therefore, no intermediate evaluation test is scheduled. In particular, assessment will be based on:
Attendance and active participation in the course
Activities, exercises, and group presentations
Non-attending Students:
A term paper (4,000–5,000 words, excluding bibliography) to be submitted at least one week before the exam session on a topic to be agreed upon with the instructor (and in any case within the course’s areas of study). The paper must follow either Harvard or APA citation style, as also indicated on the course page in Luiss Learn (Moodle).
A written exam (open-ended questionnaire on the assigned readings)
For further information, please refer to the informational handbook available on Luiss Learn.
Thesis assignment criteria
The topics are proposed to and discussed with the teacher. The thesis work will be supervised by the teacher and/or the assistant professor.
The main ( but not exclusive ) macro fields will be communicated through the course's website.
Requirements:
- Interest in the course's topics.
- Basic skills in the political research methods.
- Adequate knowledge of the basic theories of sociology and of political science.
- Capacity to read books in English.
It is required to submit a written research design, including methodology, draft table of contents and basic reference
The citation system to use is the HARVARD SYSTEM: a concise guide to this system is available in the teacher's official website.
Week 1
Principles of Open Government: transparency, participation, collaboration The digital transformation of Public Administration as an enabler of Open Government The concept of "digital-first" and "data-driven" in public governance Overview of digital architectures and key infrastructures of Public Administration: public cloud, interoperability, history of telecommunications and internet networks, National Recovery and Resilience Plan (NRRP), and ultra-fast networks
Week 2
The evolution of communication by Italian institutions The structure of the Italian Public Administration in the digital era: AGID, Department for Digital Transformation Regulatory framework for digitalization: CAD (Digital Administration Code), AGID Guidelines Data governance and data stewardship in Public Administration Management of the public data lifecycle: acquisition, preservation, availability
Week 3
Legislation on digital transparency (Legislative Decree 33/2013) Evolution of civic access Actors involved in access: active citizenship, civic monitoring, and accountability Principles of open access and open source AI for transparency Technologies for data publication: transparency portals, APIs Digital management of civic access requests: ticketing systems, automated workflows
Week 4
Principles and standards for Open Data (open formats, metadata, usage licenses) Data visualization: tools and techniques to make data understandable and usable Case studies on the use of Open Data for innovative services and civic monitoring Exercise 1: Open data platforms and critical data visualization
Week 5
E-participation platforms: history, characteristics, functionalities, and adoption Gamification and digital incentives for civic participation AI for civic participation and civic participation for the co-design of AI systems
Week 6
Introduction to AI: data, algorithms, systems Types of algorithms and their potential uses in the public sector (e.g., predictive systems, process automation, virtual assistance) History of AI in the public sector: adoption models, case studies, implications Principles of project management for digital initiatives in Public Administration
Week 7
Ethical principles for AI: fairness, transparency, reliability, non-discrimination The issue of algorithmic bias: how it arises and how it manifests in data and algorithms Strategies to mitigate bias and ensure fairness in AI systems The explainability of AI (XAI) European AI Act: Analysis of key provisions and implications for Public Administration
Week 8
Exercise 2: Analysis of a technological architecture for a digital public service
Week 9
GDPR and data protection in the age of AI and Open Data The concept of "Trustworthy AI" and its implications for Open Government Building trust in public AI-based systems: certifications, audits, human oversight Cybersecurity threats in data openness and AI usage
Week 10
Principles of sustainability: from Agenda 2030 to the present The supply chains of digital technologies and AI The impact assessment of technologies Participatory tools for sustainability policies National and international strategies on AI in the public sector The new professional skills required in PA (data scientists, AI ethicists, AI engineers).
Week 11
Co-design Workshop: students in groups will begin to develop their Final Project. - Definition of the public problem and objectives; - Identification of data needed and technologies to be used; - Analysis of ethical, legal, organizational, environmental and social impacts; - Design of the user interface (UI) and user experience (UX); - Definition of impact assessment metrics.
Week 12
Week 12: Final Project Presentations