In collaboration with other international foundations and institutions.
The field of living and organized complex systems has undergone significant changes with respect to the mechanistic and reductionist paradigms that marked the birth of contemporary life, health and organizational sciences.
The Philosophy of Cancer has become paradigmatically interesting showing how what is more interesting are the relational dynamic structures and processes that hold and enable adaptive processes.
Integration become the most fundamental feature of the living systems. Plasticity, adaptation and differentiation follow.
Living Space and Biological Time should be consistently differently understood.
The reference to the living organization and its integral development identifies a shared need for a change in the way we look at technology. On the other hand biology makes explicit reference to technological tasks and activities recorded by words like biotechnology, bioinformatics, systems- and computational biology, etc.
Great economic investments and communication success of this strategy have gone along but with only very partial success from the point of view of knowledge and understanding when dealing with complex natural dynamisms. Relational paradigms are therefore emerging, and they show to be much more fruitful in accounting for the emerging and adaptive dynamics.
The concept of integration does not refer only to the elements of a living system (e.g. tissues, organizations, ecosystem, etc.) or even to their individual interactions, but rather emphasizes the fact that it is the organic relationships that constitute a living system and its parts. The meaning of this last statement is that the dis-integration of organic relationships does not generate a modified organism or system, but rather their dis-integration.
The concept of integral development and generative growth should be applied to everything in life because, as with cancer, it has practical consequences for our understanding of Human Work, Living, Nutrition, Education and New Models of Organization.
Dwelling in the real world means taking seriously the generative power of the Enabling Constraints, i.e. those tights, boundaries and limits that shape the identity and enhance the adaptive capabilities of the living systems. Human beings and what is specifically human in their work and social endeavours are paradigmatic of these dynamics.
Care Ethics and Virtue Ethics are part of the practical counterpart of the Metaphysics of the Living Beings and of an Integral Human Flourishing that believe in human existence and work.
A deeper understanding of the also new Vulnerabilities are clearly part of these program.
Human-AI collaboration requires looking beyond just the technical aspects. As AI becomes deeply integrated into daily life, it does more than add new tools—it changes how thinking and information processing occur. This has led to the development of hybrid cognitive systems where human and AI capabilities work together in ongoing, interconnected ways. Much of this interaction happens below conscious awareness, shaping the information encountered before decisions are recognized as being made. This goes beyond simply enhancing human thinking; it changes what can be thought about and how it’s thought about.
These integrated systems also create new challenges. For example, when AI systems contain built-in biases, they introduce fresh vulnerabilities and dependencies that haven’t been dealt with before. This means different approaches are needed to maintain the ability to think clearly and independently.
Given these realities, AI governance and design need rethinking. New ethical standards and viewpoints follow. A framework built around epistemology (understanding how knowledge is gained) and ethics (principles for living well) is needed to guide development toward thoughtful, practical solutions. Such a framework should inform industry standards, design decisions, and the public policies that will determine how these technologies develop.
Traditional approaches to data often create a structural misalignment between the sources of data and the beneficiaries of the knowledge gained from it. Frequently, data is collected globally to capture human diversity, but the analysis occurs primarily in the global north. This cycle results in communities who contribute essential data receiving limited benefit, while historically over-represented populations remain the primary beneficiaries of new discoveries.
Distributed Authority and Shared Knowledge for an equitable data governance must therefore account for the decentralized power dynamics that shape and define the knowledge derived from data. Enabling a more distributed form of knowledge production allows multiple communities to contribute their interpretive authority to a global understanding, all while maintaining control over the knowledge produced about themselves. This means acknowledging that different communities have legitimate, albeit different, types of authority over data and the knowledge it generates.
Recognizing Multiple Voices and Expertise for effective governance requires navigating multiple interconnected communities, each with a legitimate and distinct type of authority, from Cultural Communities to Governmental Communities.
Building a Fairer and Stronger Research Ecosystem can strengthen research infrastructure in regions with developing health investment. It enables local institutions to participate in global research without requiring expensive centralized facilities, while incentivizing international collaborators to invest in sustainable partnerships that build technical and governance capabilities. Moving beyond temporary data collection arrangements and creating genuine research ecosystems, local institutions can develop their own research capacity while contributing their unique resources to international collaborations.
Principles: situated experimentation, caring, participating, anticipating, system thinking, practical wisdom
Why a new methodology
Social Sciences requires an increasingly global, interdisciplinary and integrated approach towards systemic and integrated development paradigms generating a new understanding of business and civil societies.
The technological, ecological and geopolitical transformations have led to an exponential change on a global scale. For the first time all organizational and economic structures showed the precariousness of proposing plans, forecasts and control structures in dealing with what was happening. This “new present” profoundly calls into question the system of organizations and leadership that we have built:
Moreover, the convergence of knowledge and technology is deeply shaping social and economic dynamics, often creating a huge gap between economic and political leadership, knowledge, resources and technology. This reflects an urgent need for transformative change through TRASNFORMATIVE KNOWLEDGE for a new understanding of the relationships between science, society and entrepreneurship.
A driving conviction of our work is that a new trust in science and society is possible, based on a up-to-date understanding of ecosystems and focusing on the social dimensions of science as a human endeavor. This is having an effect in the organization, purpose and sustainability of economic and industrial processes too. A new concept on entrepreneurship and human work might also emerge from these new approach and strategy as well as the construction of new economies that generate prosperity and a real common good.
We are therefore investing on new business models and new training programs that are asking for changes in its methods and strategies (not just in contents) to move from a paradigm of fragmented knowledge to one of integral knowledge.
Going beyond the specialization of traditional university models, we need an approach mediated by the needs that emerge from the daily life and a response capable to combine different solutions, to co-designing anticipatory roadmaps in dialogue with territories and businesses.
Currents topics and teaching include: Science and Society, Venture Thinking for Corporate Ecosystems, Technological Innovation and Governance, Governance in Complexity.
The epistemological and methodological skills as well as the scientific-technological and philosophical training that characterize our research group activity allow us to put at the service of synthesis tools between different disciplines in trying to more effectively thematize the issues that are under the attention of many but who have difficulty finding effective and integrated solutions.
A healthy pluralism of views is, in fact, necessary in the current scenario, as is a new framework capable of systemizing and restoring a specific value to local solutions within a global relational, proactive and anticipatory vision.
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Empowering understanding
for responsible science, innovation and society