This chapter traces the historical evolution and terminology of the right to science within international human rights law, exploring its emergence post-Second World War and highlighting the pivotal role of UNESCO and the recent General Comment No. 25. It critically analyses essential terminology such as the scientific process, scientific progress and the benefits of science, both material and immaterial. Special attention is given to defining the scope of protected scientific knowledge, extending beyond traditional academic disciplines to encompass citizen science and Indigenous and traditional knowledge, while clearly distinguishing legitimate scientific knowledge from pseudoscience.

This chapter reflects on my experience as the Director of the ACT Parks and Conservation Service, highlighting my involvement in the Mulligans Flat-Goorooyarroo Woodland Experiment at Mulligans Flat Woodland Sanctuary (MFGO) from 2004 to 2022. It discusses the evolution of the Experiment, a long-term initiative aimed at woodland restoration, and its impact on the ACT Parks and Conservation Service. The experiment not only provided valuable insights into woodland management, but also fostered innovation and community engagement.

The chapter emphasises the creation of a predator-proof fence at Mulligans Flat, collaboration with academic researchers, and the integration of evidence-based management practices. Key challenges, such as reallocation of staff and developing specialised knowledge, are explored, as well as the transformation of conservation efforts in the ACT. The Experiment and MFWS has become a model for adaptive conservation, highlighting the importance of partnerships between government, researchers and the community in promoting biodiversity conservation and sustainable land management practices.

The widely accepted “AI Race” narrative, which pits the US against rivals like China, is a flawed metaphor that actively harms thoughtful AI development and policy. This chapter deconstructs the “race” by showing it lacks a clear finish line or coherent definition of “winning,” unlike historical contests such as the space race or the Manhattan Project. The narrative is based on three shaky assumptions: that innovation inherently equals progress, that generative AI is already capable of near-term, large-scale usefulness, and that the “winner” will control global AI values. Critically, these flawed premises trigger predictable, problematic policy reactions, including unlimited corporate and governmental spending, indefinite delays on necessary regulation, and hasty, thoughtless deployment. By prioritizing speed and raw capability over genuine utility, the “AI race” risks squandering resources on unreliable systems and undermining public trust. The chapter concludes that the real challenge lies in human coordination, not computation, and calls for abandoning the race framework in favor of a wise, goal-oriented approach that serves human needs over corporate interests.

This chapter argues that ideas – not just capital or labor – are central to economic transformation. Innovation does not arise spontaneously; it requires deliberate institutional support, including investments in education, basic research, and infrastructure. The chapter explores how countries cultivate innovation ecosystems that enable risk-taking and creativity. It highlights the role of the state in shaping markets, fostering entrepreneurship, and guiding long-term strategic investment. A society’s capacity to generate, diffuse, and apply knowledge is a key determinant of its developmental trajectory.

War has a complex relationship to creativity and the arts. War is a mythic and hallowed subject of art, where it is often depicted in sacred terms as the testing ground of foundational leaders and the cauldron from which societies emerge. Yet based as it is in killing and destruction, war damages both society and creative faculties. War ends lives, destroys cultural treasures, disrupts artistic careers, and wreaks havoc on social networks through which artists develop and share work. War’s violence inflicts physical and psychological disabilities that limit creative expression. Those negative impacts can, paradoxically, spur creativity: war experience pushes artists to invent new forms of expression and has led to whole artistic movements (such as Surrealism). War also leads to creative interventions in fields like medicine, technology, and communication. War also changes how societies conceptualize creativity itself. “Creativity” emerged as a social scientific concept during World War II and became an important area of Cold War investigation, one cultivated to impart competitive edge. Creativity research will continue to deepen our understanding of how humans make and survive war.

Chapter 6 explores the stage of policy formulation, where policy alternatives are generated, assessed, and refined prior to decision-making. It describes the iterative process of translating government aims into actionable solutions, emphasizing the importance of both technical analysis and political negotiation. The chapter outlines the sources of policy ideas, distinguishing among internal contributors (politicians, advisors, analysts, program administrators) and external ones (consultants, think tanks, stakeholders). Key frameworks such as welfare economics often guiding the identification and evaluation of options are discussed as well as design aspects of policy choices such as efforts to acheive parsimony, coherence, and alignment of the policy with its context. The chapter introduces formal techniques often used in formulation including scenario planning, cost–benefit analysis, and stakeholder mapping. It highlights the substantive, procedural, and capacity constraints that limit the number of feasible options set out before decision-makers in the next stage of the policy cycle

The Conclusion reflects on how digital technologies have become inseparable from the rhythms, identities and power structures of the Brussels Bubble and the European Union itself. Drawing on Stefan Zweig’s vision of technology as both a unifier and disruptor, the chapter argues that the EU is now a virtual social field – a polity where governance, diplomacy and community are co-constituted by digital infrastructures. Through ethnographic insights, it reveals five key transformations: the EU as a digitally mediated space; social media as a symbolic economy of insider recognition; diplomats and officials as cyborgs, their bodies and selves extended by devices; the everyday negotiation of digitalisation, where technology is not imposed but adapted and contested; and the necessity of a practice turn for understanding global governance in the digital age.

The chapter underscores that digital tools do not merely facilitate EU politics – they reshape its boundaries, hierarchies and temporalities. From WhatsApp groups to virtual meetings, technology is both a site of empowerment and vulnerability, challenging ideals of transparency, equality and sovereignty. Ultimately, the EU’s future will be negotiated at the intersection of human agency and digital mediation, where the ambivalence of progress and disruption mirrors the complexities of European integration itself.

This chapter shifts focus inward, analyzing how teams, leadership, and organizational psychology shape AI development outcomes. Through examples like Tesla’s safety controversies and Meta’s Galactica failure, it demonstrates that many AI failures stem not from technical flaws but from poor team dynamics, leadership gaps, and cognitive biases. The chapter draws on research in organizational psychology and decision-making to stress the importance of psychological safety, inclusive leadership, and diverse team composition. It warns against techno-optimism, novelty-seeking, and sunk-cost bias, urging organizations to integrate human judgment with machine intelligence in thoughtful, accountable ways.

This chapter locates Claudia Rankine’s highly celebrated book Citizen in a lineage of African American artists participating in a similar mode of renovation, which is the production of distinctive kinds of poetry based on linking past artistry and heritage to forward-facing experimentation. It challenges how Citizen was treated as exceptional by the press and prize committees that celebrated it when in fact Rankine herself carefully put her poems and essays in conversation with a number of predecessors, including Richard Wright and Zora Neal Hurston, and with such contemporaries as Nikky Finney, Erica Hunt, and Harryette Mullen. It then connects Rankine to the younger writers Morgan Parker and Aurielle Marie, who, like Rankine and visual artist Glenn Ligon, adapted Hurston’s well-known essay "How It Feel to Be Colored Me" to new purposes. Lineage and innovation united with a heritage of renovation make Citizen outstanding and deserving of its accolades but not unique so much as an extension of innovative African American literary practice.

In order to characterize how African American poets enacted a version of the avant-garde, this chapter connects the formation of Black writers’ collectives in the 1980s and 1990s to the original theories of the avant-garde in which artistic dissent was tied to social withdrawal and political dissent. It identifies how the Dark Room Collective of the 1980s and early 1990s and the Black Took Collective of the late 1990s and early twenty-first century used their bohemian withdrawal to cultivate innovative artistic practices that led, paradoxically, to mainstream success. Since that success defies racial disparagement in ways analogous to how the collective withdrawal did, this chapter posits that "success" as an "avant-garde thing," an ambivalent extension of avant-garde dissent.

Examines the impact of digital technologies on higher education, focusing on online instruction, MOOCs, and edtech. Highlights successful examples like MIT’s OpenCourseWare and Arizona State University’s transformation. Emphasizes the need for strong dynamic capabilities to harness technology for strategic renewal.

Explores the rise of campus entrepreneurship, tracing its roots to landmark discoveries like recombinant DNA. Discusses technology transfer, licensing offices, and startups founded by faculty and students. Emphasizes the importance of entrepreneurial activities in enhancing research impact, generating revenue, and fostering regional development.

In this chapter, we lay out the difference between the economics of allocation and creation. We explain how innovation, which is the most important process involved in reducing greenhouse gas emissions, creates resources that the economy uses thereafter. We show that there is no optimal resource creation strategy because innovation generates more potential directions for economic growth than we can possibly identify. This shows that the economic problem of climate policy is not about allocating scarce resources, but rather it is about creating the resources that we need. But the allocation way of thinking is really hindering sensible climate policymaking, and this is potentially why we are making so little progress.

Introduces the dynamic capabilities framework – sensing, seizing, and transforming – as a strategic tool for university leaders. Explains how dynamic capabilities help institutions respond to uncertainty and change, enabling them to identify opportunities, execute initiatives, and transform operations.

Synthesizes the book’s themes, emphasizing dynamic leadership for guiding universities through turbulence. Reiterates the importance of strategic management and dynamic capabilities – sensing, seizing, and transforming – to ensure resilience and relevance. Calls on leaders to embrace change and lead with purpose.

This chapter explains how the economics of innovation works for the transition. We explain how innovation creates resources but also generates upheaval. We narrate how seeking optimal economic performance, in fact, corresponds to reducing the resilience of the economy and promoting instability. We explain a key concept of complexity science: the trade-off between performance and stability in systems that grow over time, like the economy. If we let the economy or the financial sector grow too fast, chances are higher that it will crash. The meaning of this is that we must pace the low-carbon transition carefully, create resilience and give it strict guardrails, so that it stays on track, as we create new resources with low-carbon innovation.