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Forecasting the future with advanced data models and visualizations. To envision and create the futures we want, society needs an appropriate understanding of the likely impact of alternative actions. Data models and visualizations offer a way to understand and intelligently manage complex, interlinked systems in science and technology, education, and policymaking. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge, shows how we can use data to predict, communicate, and ultimately attain desirable futures. Using advanced data visualizations to introduce different types of computational models, Atlas of Forecasts demonstrates how models can inform effective decision-making in education, science, technology, and policymaking. The models and maps presented aim to help anyone understand key processes and outcomes of complex systems dynamics, including which human skills are needed in an artificial intelligence-empowered economy; what progress in science and technology is likely to be made; and how policymakers can future-proof regions or nations. This Atlas offers a driver's seat-perspective for a test-drive of the future.
Stalingrad in the jungle: the battle that doomed the French Empire and led America into Vietnam In winter 1953-54 the French army in Vietnam challenged its elusive enemy, General Giap's Viet Minh, to pitched battle. Ten thousand French paras and légionnaires, with artillery and tanks, were flown to the remote valley of Dien Bien Phu to build a fortress upon which Giap could smash his inexperienced regiments. The siege which followed became a Stalingrad in the jungle, and its outcome shocked the world.
Businesses want to be sustainable but how can they promote sufficiency? Sufficiency-oriented business models focus on creating sustainable value, promoting reduced resource consumption and adjusting production volumes to planetary boundaries. The contributors to this volume present real-life examples of sufficiency-oriented companies across diverse industries. These experts share their insights on sufficiency strategies in business, barriers and opportunities discovered, and the impact on customer behavioural change. They address the far-reaching changes in business, society, and policy required for this paradigm shift and suggest future research directions.
This book constitutes the thoroughly refereed proceedings of the 31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, held in Montreal, QC, Canada, in June 2018. The 53 full papers and 33 short papers presented were carefully reviewed and selected from 146 submissions. They are organized in the following topical sections: constraint solving and optimization; data mining and knowledge discovery; evolutionary computation; expert systems and robotics; knowledge representation, machine learning; meta-heuristics; multi-agent systems; natural language processing; neural networks; planning, scheduling and spatial reasoning; rough sets, Internet of Things (IoT), ubiquitous computing and big data; data science, privacy, and security; inelligent systems approaches in information extraction; and artificial intelligence, law and justice.