Overview. FUTURELOOP aims to establish the European Observatory for Algorithmic Temporalities (EOAT) at CUT in Limassol, Cyprus, as a permanent interdisciplinary research unit investigating how technological systems produce, organize, and appropriate time. The project reconceptualizes technology as a "grand-narrative" pivoting on temporality, framing AI not as general intelligence but as the forefront of ongoing efforts to automate temporal control. By integrating philosophy of technology (Simondon, Stiegler), systems theory (Luhmann), cybernetics (Wiener, von Foerster), biology and evolution studies (Ruyer, Margulis), and post-colonial critique (Morozov), EOAT explores how technical systems reorganize time across historical, social, and planetary scales, from simple machines to cybernetic systems, AI, social-media-driven propaganda, and post-truth apparatuse,  producing alternative temporalities to be lived or economically exploited. A central output is the Algorithmic Temporalities Research Toolkit (ATTK), designed to operationalize insights in institutional contexts where AI reshapes decision-making, coordination, and learning, as well as in creative and speculative methods of inquiry. The toolkit is piloted regionally in Cyprus and subsequently in Romania, testing its capacity to initiate cascading transfer mechanisms throughout Eastern Europe.

OrgLab's Expected Contribution. UniCAS leads WP5 and plays a major role in capacity building (WP2). The OrgLab team is responsible for developing the analytical framework examining how AI reshapes temporal structures within institutional environments across four domains: decision temporalities, coordination temporalities, learning temporalities, and temporal redistribution. OrgLab designs and deploys structured research tools (interview guides, process-mapping templates, and time-use analysis protocols) tested across five partner institutions through comparative case studies. OrgLab also leads the Foresight Labs (T5.3), which functions as interdisciplinary micro-nodes integrating empirical findings with philosophical and artistic perspectives to explore future configurations of AI-enabled temporal regimes. Beyond WP5, UniCAS delivers two Training Schools at CUT (TS3 on Industry Engagement and TS5 on Technological Foresight), hosts doctoral students from MADLab for intensive AI-driven foresight training (STSM3), and convenes the multi-partner Grant Application Workshop (STSM4). The UniCAS team includes Prof. Cristina Corsi (European research project expertise and historical perspectives on technological transformation), Prof. Eleonora Sanfilippo (economics of time use and distributional dimensions of technological change), Prof. Benedetta Cuozzo (Big Data, intangible assets, and digital transformation), and Prof. Fabio Nappo (organizational and managerial dimensions of digital change).

Overview. This Sloan Foundation grant funds a pilot study examining how the use of generative AI tools is reshaping the way software developers learn and retain core programming skills. The project was designed to kickstart a broader research agenda by running two initial empirical studies focused specifically on programming contexts.

OrgLab's Contribution. OrgLab contributes as co-PI through Prof. Bolici and through the involvement of doctoral researcher Alberto Varone. Study 1 investigates how undergraduate students in an introductory Python course develop both traditional programming skills and new AI-related competencies (such as prompting and evaluation) when learning with tools like ChatGPT and GitHub Copilot. Study 2 examines how experienced faculty and graduate student developers adapt to AI tools in real-world development work, focusing on the retention or erosion of core programming skills. The research uses the Critical Incident Technique to explore how expertise level, motivation, and organizational norms influence tool reliance and skill trajectories.

Impact. The Sloan grant provided early validation of the OrgLab-Syracuse research partnership on AI and skills, with the Foundation recognizing the project as addressing a timely and important question. The pilot studies generate empirical evidence on a concern that has broad implications across education, industry, and workforce policy: whether AI tools accelerate learning or create shallow competence. The findings directly feed into the larger SDR-GAI project and position the research team at the forefront of the international debate on AI's impact on human skill development

Overview. EU-JUMP is a large-scale EU4Health Joint Action designed to strengthen Europe's capacity for the prevention, detection, and control of mosquito-borne arboviruses through a One Health approach. The project integrates evidence from human, animal, and environmental domains to address the growing threat of vector-borne diseases driven by climate change and increased mobility. Eight work packages cover surveillance harmonization, insecticide resistance monitoring, risk assessment and early warning, genomic surveillance, and capacity building through training and after-action reviews.

OrgLab's Expected Contribution. OrgLab's involvement in EU-JUMP builds directly on its decade-long track record in One Health organizational analysis through MediLabSecure, AWARE, and SeCOV+. The lab is expected to contribute to the sustainability, organizational design, and after-action review components of the Joint Action, applying its established BPMN-based process analysis methodology to support the coordination of multi-actor surveillance and response systems across European countries.

Overview. SeCOV+ is a EU4Health-funded project aimed at strengthening Italy's national genomic surveillance infrastructure for SARS-CoV-2, influenza, and RSV. Coordinated by Italy's National Institute of Health (ISS), the project supports the transition from emergency-driven configurations built during the pandemic to a stable, sustainable surveillance system. The project works with Italy's national genomic laboratory network (I-Co-Gen), which connects over 70 laboratories across the country.

OrgLab's Contribution. OrgLab leads the organizational dimension of sustainability within SeCOV+. Using a co-design approach, the team has created a Network Participation Sustainability Index that provides strategic and actionable insights into the healthy state of information flows, coordination mechanisms, and resource availability that sustain the national laboratory network. 

Impact. OrgLab's work directly informs how Italy will sustain its genomic surveillance capacity in the post-pandemic era. By identifying organizational bottlenecks, unclear accountability structures, and fragile coordination points, the project delivers actionable redesign recommendations. The result is a framework that helps decision-makers understand not just what infrastructure exists, but whether it can be maintained, addressing the governance, procedural, and resource conditions for long-term viability. This model is directly transferable to other surveillance networks, including vector-borne disease monitoring systems

Overview. AWARE was initiated after the severe 2018 West Nile virus (WNV) transmission season in Europe, which overwhelmed existing preparedness and response mechanisms in several countries. The project conducted After Action Reviews (AARs) with a One Health perspective across four countries (Italy, Slovenia, Serbia, and Greece) to identify strengths, gaps, and improvement areas in national surveillance and response systems.

OrgLab's Contribution. OrgLab designed the co-design protocol for the After Action Reviews and led the organizational process analysis across all four countries. The team developed a methodology that combined traditional AAR techniques with BPMN-based process mapping, allowing stakeholders to visualize, validate, and critique their own surveillance and response processes. This included mapping decision-making flows, coordination mechanisms between human health, veterinary, and entomological sectors, and identifying where organizational bottlenecks delayed response during the 2018 season.

Impact. The AWARE project produced the first systematic, multi-country organizational analysis of West Nile virus preparedness in Europe, published in Globalization and Health (Riccardo, Bolici et al., 2020). OrgLab's process-based approach made visible the interdependencies and coordination failures that traditional epidemiological reviews miss. The findings shaped recommendations for strengthening One Health coordination, improving laboratory capacity governance, and developing more robust risk communication chains.

Overview. MediLabSecure is a landmark EU-funded One Health network connecting public health institutions, virology, and medical entomology laboratories across 19 countries in the Mediterranean and Black Sea regions. The network was created to strengthen preparedness against emerging arboviral diseases, including West Nile virus, Dengue, Chikungunya, and Rift Valley Fever, by building inter-sectoral surveillance capacity. Within MediLabSecure, the MeSA (Mediterranean Situation Analysis) study was a qualitative investigation into how integration between human, animal, and entomological surveillance was actually being implemented at the country level.

OrgLab's Contribution. OrgLab designed and implemented the core methodology of the MeSA study: using Business Process Modelling Notation (BPMN) as a tool to make cross-sectoral surveillance integration visible and assessable. Through field missions and site visits in Serbia, Tunisia, and Georgia, the team mapped existing information flows between health sectors, identified points of integration and disconnection, and used participatory validation sessions to ensure that process models accurately reflected local realities. This was one of the first applications of BPMN to One Health surveillance assessment.

Impact. The MeSA study produced a pioneering methodological framework for assessing One Health integration, not through abstract policy declarations, but through the concrete analysis of how information actually flows between sectors. Published in Zoonoses and Public Health (Dente, Riccardo, Bolici et al., 2019), this work demonstrated that organizational analysis tools from management science can be powerfully applied to global health challenges. The BPMN-based framework developed by OrgLab has been subsequently adopted in further One Health initiatives and directly informed the design of the AWARE project.

Overview. Rome Technopole is the Lazio region's flagship innovation ecosystem, bringing together 7 universities, 4 national research institutions, the Lazio Region, the City of Rome, and over 20 industrial partners. Funded under the Italian National Recovery and Resilience Plan (PNRR), it focuses on three strategic areas: energy transition, digital transformation, and bio-pharmaceutical/health innovation. The ecosystem operates through a Hub & Spoke governance structure with six thematic Spokes.

OrgLab's Contribution. Within Spoke 2 (Technology Transfer, new entrepreneurship, business incubation and acceleration), OrgLab researchers contribute to designing frameworks and tools for responsible innovation and technology transfer. The work focuses on two lines: (1) developing a governance model that reimagines the role of public institutions as active co-creators in the emerging generative AI ecosystem, including dual technology transfer models bridging academia and industry; and (2) conceptualizing and prototyping an AI-based Intelligent Decision Support System (IDSS) designed to assist SMEs and startups in navigating complex strategic decisions.

Impact. OrgLab's contribution bridges the gap between AI as technology and AI as an organizational challenge. While most ecosystem partners focus on developing new technologies, OrgLab addresses how those technologies get transferred, adopted, and governed in real organizational contexts. The governance model for public institutions in AI ecosystems has been published in ProspettiveInOrganizzazione (Varone, Cheschel, Marchegiani & Bolici, 2025), and the IDSS prototype has been presented at the Rome Technopole Conference (2024). 

Overview. SDR-GAI is a bilateral Italy-USA research project investigating how generative AI reshapes the way people develop and retain professional skills. The project is structured around three interconnected studies: (1) how novices acquire and experts maintain skills when working with AI; (2) what new competencies are needed to work effectively alongside AI systems; and (3) how AI interaction substitutes or complements traditional skill sets in organizational contexts.

OrgLab's Contribution. OrgLab leads the Italian side of this project, bringing its expertise in organizational studies and information systems to the study of human-AI collaboration. The research team combines qualitative organizational analysis with emerging frameworks from information processing theory to understand how AI reconfigures the relationship between individual expertise, task execution, and organizational coordination. A visiting research period at Syracuse University's iSchool has already produced joint publications and conference presentations (EGOS 2025, ItAIS 2025).

Impact. SDR-GAI addresses one of the most pressing questions for organizations and policymakers: what happens to human expertise when AI can perform tasks that previously required years of training? The project's findings will provide evidence-based guidance for workforce development, training program design, and organizational restructuring in the AI era. The bilateral structure, pairing OrgLab's organizational theory strength with Syracuse's information science expertise, positions the project to deliver insights with transatlantic relevance. Early outputs include a manuscript under review at the European Management Journal and a joint NSF-MUR grant proposal.

Overview. RIMATER is a regional innovation project focused on promoting circular economy principles within Lazio's aerospace and naval industrial sectors. The project brings together universities, research institutions, and industrial partners to develop collaborative models that valorize research and promote sustainable industrial innovation in the region.

OrgLab's Contribution. OrgLab co-designed an innovative business model for the regional innovation ecosystem. The team developed a four-phase framework detailing mechanisms for stakeholder coordination and the promotion of innovative startups within the aerospace and naval supply chains. The work involved creating a public-private collaboration model to bridge the gap between academic research outputs and industrial application needs.

Impact. RIMATER demonstrated how organizational design expertise can unlock industrial sustainability. The collaborative business model developed by OrgLab provides a replicable template for structuring innovation ecosystems where multiple stakeholders (universities, SMEs, large industrial players, and public institutions) must coordinate without clear hierarchical authority. The project outcomes have been published in ProspettiveInOrganizzazione (Varone & Bolici, 2025), contributing to the emerging literature on ecosystem governance for circular economy transitions.

Overview. COM.PRO.PA was a high-profile organizational analysis initiative aimed at supporting the strategic digitalization and human resource development of Italy's Presidenza del Consiglio dei Ministri (PCM). The project involved mapping the competencies of senior executives across multiple departments of the Prime Minister's Office, providing the evidence base for organizational redesign and digital transformation planning.

OrgLab's Contribution. OrgLab served as a core research partner, conducting the structural organizational analysis. The team carried out over 30 in-depth interviews with senior public executives, mapping their roles, activities, competencies, and interdepartmental interdependencies. The analysis covered multiple departments within the PCM, providing qualitative data that informed both the design of executive development programs and the digitalization strategy for the organization.

Impact. COM.PRO.PA gave OrgLab direct experience working at the highest level of Italian public administration, analyzing organizational structures and competency needs in the context of digital transformation. The findings informed concrete decisions about how Italy's central government prepares its leadership for a digital-first operating model. The project demonstrated that effective digitalization is not only a technology problem, but also an organizational one: it requires clear competency frameworks, redesigned roles, and new coordination mechanisms between departments.

Overview. HeritageBot is a regional research project aimed at developing innovative robotic platforms for the conservation, valorization, and public engagement with cultural heritage. The project combined technical robotics research with a service-oriented business model, producing prototypes of mobile robotic systems (including a six-legged platform with actuated wheel-feet) designed for monitoring, inspection, and operation in cultural heritage sites such as archaeological areas and historical buildings. The project pursued two integrated objectives: perfecting robotic prototypes for cultural heritage applications, and designing service packages for technology transfer and operational deployment.

OrgLab's Contribution. OrgLab was responsible for the organizational and business model dimensions of HeritageBot. The team designed the technology transfer and commercialization strategy, identifying a range of applications including patent licensing, service spin-offs, startup facilitation, and knowledge valorization pathways. A distinctive contribution was the design of citizen science activities as an integral component of the project's business model, enabling public engagement with the robotic prototypes and cultural heritage research. This work was presented at the IEEE International Workshop on Robotic Computing for Cultural Heritage (Colella & Bolici, 2017).

Impact. HeritageBot demonstrated OrgLab's ability to embed organizational thinking into highly technical, engineering-driven projects. While the robotics labs developed the hardware, OrgLab ensured that the resulting technology had a viable path to real-world use, framing it not just as a research prototype but as a service platform with clear stakeholder value. The citizen science component pioneered an approach where public engagement was designed as a revenue and impact mechanism rather than an afterthought. The project produced multiple patents, conference publications at IEEE and Springer, and prototype demonstrations, and it showcased a genuinely interdisciplinary model of collaboration across engineering, cultural heritage, and organizational studies within UniCAS.