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An intergenerational cooperation game has been developed to study decision-making regarding resource use: when decisions about resource extraction were made individually the resource was rapidly depleted by a minority of defectors; the resource was sustainably maintained across generations, however, when decisions were made democratically by voting. A caring majority votes for the future Cooperation is often seen in experimental economic games because actions can be reciprocated. But this trait is of no help in one of the most important types of cooperation: cooperation with future generations who cannot reciprocate if we refrain from overexploiting their resources. To test the conditions under which cooperation with the future can occur, Oliver Hauser et al . developed a laboratory model of cooperation — the Intergenerational Goods Game (IGG) — that differs from previous games in which selfishness creates social efficiency losses for group members. Instead, selfishness negatively impacts subsequent groups. Experiments involving more than 2,000 subjects demonstrate that when decisions on resource extraction are made individually, the resource is rapidly depleted by defectors. But when participants are forced to vote on how the resource should be exploited, it is exploited sustainably across generations. Voting works for two reasons. It allows a majority of cooperators to constrain a minority of defectors, and as all players receive the same amount after a vote, cooperators need not worry about losing out relative to others. Overexploitation of renewable resources today has a high cost on the welfare of future generations 1 , 2 , 3 , 4 , 5 . Unlike in other public goods games 6 , 7 , 8 , 9 , however, future generations cannot reciprocate actions made today. What mechanisms can maintain cooperation with the future? To answer this question, we devise a new experimental paradigm, the ‘Intergenerational Goods Game’. A line-up of successive groups (generations) can each either extract a resource to exhaustion or leave something for the next group. Exhausting the resource maximizes the payoff for the present generation, but leaves all future generations empty-handed. Here we show that the resource is almost always destroyed if extraction decisions are made individually. This failure to cooperate with the future is driven primarily by a minority of individuals who extract far more than what is sustainable. In contrast, when extractions are democratically decided by vote, the resource is consistently sustained. Voting 10 , 11 , 12 , 13 , 14 , 15 is effective for two reasons. First, it allows a majority of cooperators to restrain defectors. Second, it reassures conditional cooperators 16 that their efforts are not futile. Voting, however, only promotes sustainability if it is binding for all involved. Our results have implications for policy interventions designed to sustain intergenerational public goods.

\"We start with a simple question: If you could reinvent higher education for the 21st century, what should it look like? We began by taking a hard look at problems in traditional higher education, and innovated in many ways to address these problems head-on: We have created a new curriculum, focusing on what we call \"practical knowledge\"; we have developed new pedagogy, based on the science of learning; we have used technology in novel ways, to deliver small seminars in real time; and we have developed an international hybrid residential model, where students take classes on the computer but live together, rotating through seven different cities around the world. The Minerva Schools at the Keck Graduate Institute (KGI) are the first university experience built for the twenty-first century. In setting up this program, we have had to confront the realities of all aspects of higher education--from admissions, through instruction, to career development, to establishing a reputation. The goal of this book is to provide an evidence-based model for a future of higher education. We have learned a lot about how to reshape all facets of higher education and this book summarizes what we have learned. We hope that our innovations can serve as models of \"best practices\"--And thereby have a major influence on higher education writ large\"-- Provided by publisher.

Human–robot collaboration is enabled by the digitization of production and has become a key technology for the factory of the future. It combines the strengths of both the human worker and the assistant robot and allows the implementation of an varying degree of automation in workplaces in order to meet the increasing demand of flexibility of manufacturing systems. Intelligent planning and control algorithms are needed for the organization of the work in hybrid teams of humans and robots. This paper introduces an approach to use standardized work description for automated procedure generation of mobile assistant robots. A simulation tool is developed that implements the procedure model and is therefore capable of calculating different objective parameters like production time or ergonomics during a production cycle as a function of the human–robot task allocation. The simulation is validated with an existing workplace in an assembly line at the Volkswagen plant in Wolfsburg, Germany. Furthermore, a new method is presented to optimize the task allocation in human–robot teams for a given workplace, using the simulation as fitness function in a genetic algorithm. The advantage of this new approach is the possibility to evaluate different distributions of the tasks, while considering the dynamics of the interaction between the worker and the robot in their shared workplace. Using the presented approach for a given workplace, an optimized human–robot task allocation is found, in which the tasks are allocated in an intelligent and comprehensible way.

MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large‐scale meta‐ and mega‐analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large‐scale, collaborative studies of mental illness. This review discusses the major challenges facing neuroimaging research of bipolar disorder and highlights the major accomplishments, ongoing challenges and future goals of the ENIGMA Bipolar Disorder Working Group.

Occupational future time perspective (OFTP) refers to employees' perceptions of their future in the employment context. Based on lifespan and organizational psychology theories, we review research on OFTP and offer a meta-analysis of antecedents and outcomes of OFTP (K = 40 independent samples, N = 19,112 workers). Results show that OFTP is associated with individual characteristics and personal resources, including age (ρ = −0.55), job tenure (ρ = −0.23), organizational tenure (ρ = −0.25), educational level (ρ = 0.16), and self-rated physical health (ρ = 0.16), as well as job characteristics, such as job autonomy (ρ = 0.22). Moreover, OFTP is related to important work outcomes, including job satisfaction (ρ = 0.28), organizational commitment (ρ = 0.41), work engagement (ρ = 0.22), retirement intentions (ρ = −0.37), and work continuance intentions (ρ = 0.16). OFTP is also related to task (ρ = 0.11) and contextual performance (ρ = 0.20). Additional analyses show that OFTP predicts job attitudes and work performance above and beyond the effects of another developmental regulation construct, selection, optimization, and compensation strategies. Overall, the findings of our meta-analysis suggest that OFTP is an important construct in the context of an aging workforce.

The COVID-19 pandemic created a unique set of circumstances in which to investigate collective memory and future simulations of events reported during the onset of a potentially historic event. Between early April and late June 2020, we asked over 4,000 individuals from 15 countries across four continents to report on remarkable (a) national and (b) global events that (i) had happened since the first cases of COVID-19 were reported, and (ii) they expected to happen in the future. Whereas themes of infections, lockdown, and politics dominated global and national past events in most countries, themes of economy, a second wave, and lockdown dominated future events. The themes and phenomenological characteristics of the events differed based on contextual group factors. First, across all conditions, the event themes differed to a small yet significant degree depending on the severity of the pandemic and stringency of governmental response at the national level. Second, participants reported national events as less negative and more vivid than global events, and group differences in emotional valence were largest for future events. This research demonstrates that even during the early stages of the pandemic, themes relating to its onset and course were shared across many countries, thus providing preliminary evidence for the emergence of collective memories of this event as it was occurring. Current findings provide a profile of past and future collective events from the early stages of the ongoing pandemic, and factors accounting for the consistencies and differences in event representations across 15 countries are discussed.

From Germany’s Industry 4.0 mission to Made in China 2025 and Make in India mission to British Factory of the Future in 2050, digital manufacturing (DM) is promoting in the world’s major industrial countries as a technology foundation of the future manufacturing. At the same time, in the different segments of the DM realm, different forms of information technologies (IT) are flourishing such as the following: computer-aided manufacturing, robotics control in manufacturing, and process simulation. This paper is aimed to review the latest initiatives of DM in the leading universities and major industrial countries. Along with, a critical literature review of various initiatives in the area of DM-assisted hybrid additive manufacturing (DM-HAM) has also been carried out. DM-HAM seems to be very promising for next generation multi-operational manufacturing as it is time saving and economical. The highlights of this review will provide a guide for the upcoming research activities in the area of DM-HAM.