Steffen Lange Book order

Time seems out of joint. The world society has experienced a centennial pandemic, the global thermometer has displayed a sequence of hottest years on record, and Russia’s war on Ukraine has shattered political order. Unsurprisingly, the economy is severely affected. Governments worldwide hope that digital technologies can provide key solutions. Yet this report shows that digitalisation, in its current and mainstream form, is rather aggravating than solving many of the pressing social and environmental crises at hand. What is needed instead is a deep sustainability transformation that fundamentally reorganises the economy and all its sectors – agriculture, mobility, energy, buildings, industry, and consumption. The Report »Digital Reset« shows how digital technologies can support the quest for such a deep sustainability transformation. The report provides a blueprint for the European Union on how to reconceptualise digitalisation so that it first and foremost contributes to achieving carbon neutrality, resource autonomy and economic resilience while supporting equity and fully respecting citizen’s rights and privacy. The report is the outcome of a two-year international science-policy dialogue, »Digitalization for Sustainability« (D4S), and presents an up-to-date comprehensive analysis of opportunities, risks and governance options regarding digitalization and sustainability.

Exploring the intersection of digitization and sustainability, the book offers guiding principles for achieving environmentally and socially responsible digitalization. It presents practical proposals aimed at empowering politicians, individuals, businesses, and civil society to contribute to a sustainable future. Through its insights, it highlights the potential of technology to foster positive change in environmental practices.

Making Digitalization Work for Sustainability. This book investigates how digitization can influence environmental and social sustainability. Smart Green World? provides guiding principles for sustainable digitalization and develops hands-on proposals that show how politicians, individuals, businesses and civil society actors can help achieve it.

This research is a significant contribution to ecological macroeconomics, ranking alongside notable works in the field. It is the first systematic exploration of the conditions for zero growth across various economic models. The book offers a comprehensive understanding of how non-growing economies can achieve sustainability, injecting new energy into discussions about post-growth, degrowth, and steady-state economies. Steffen Lange investigates economic theory to determine how a macro-economy can function without growth, drawing from a diverse array of theories, including Neoclassical, Keynesian, and Marxian perspectives. Key questions addressed include the feasibility of zero growth within a capitalist system, the effects on aggregate demand and supply when growth ceases, and the roles of firms, markets, and technological innovation in post-growth economies. Lange demonstrates that sustainable economies without growth are indeed possible from a macroeconomic standpoint, though significant changes are necessary. Essential economic institutions and dynamics—such as labor and natural resource pricing, company structures, and market frameworks—must be reconfigured. This book is essential for economists aiming to foster a sustainable future and for environmentalists seeking to grasp the economic principles behind sustainable transformations.

This volume contains the papers presented at the 5th International Conference on Discovery Science (DS 2002) held at the M¨ovenpick Hotel, Lub ¨ eck, G- many, November 24–26, 2002. The conference was supported by CorpoBase, DFKI GmbH, and JessenLenz. The conference was collocated with the 13th International Conference on - gorithmic Learning Theory (ALT 2002). Both conferences were held in parallel and shared ?ve invited talks as well as all social events. The combination of ALT 2002 and DS 2002 allowed for a comprehensive treatment of recent de- lopments in computational learning theory and machine learning – some of the cornerstones of discovery science. In response to the call for papers 76 submissions were received. The program committee selected 17 submissions as regular papers and 29 submissions as poster presentations of which 27 have been submitted for publication. This selection was based on clarity, signi?cance, and originality, as well as on relevance to the rapidly evolving ?eld of discovery science.