Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science

The paper deals with the use of empirical data in social science agent-based models. Agent-based models are too often viewed just as highly abstract thought experiments conducted in artificial worlds, in which the purpose is to generate and not to test theoretical hypotheses in an empirical way. On the contrary, they should be viewed as models that need to be embedded into empirical data both to allow the calibration and the validation of their findings. As a consequence, the search for strategies to find and extract data from reality, and integrate agent-based models with other traditional empirical social science methods, such as qualitative, quantitative, experimental and participatory methods, becomes a fundamental step of the modelling process. The paper argues that the characteristics of the empirical target matter. According to characteristics of the target, ABMs can be differentiated into case-based models, typifications and theoretical abstractions. These differences pose different challenges for empirical data gathering, and imply the use of different validation strategies.Agent-Based Models, Empirical Calibration and Validation, Taxanomy of Models

The Impact of Agent-Based Models in the Social Sciences after 15 Years of Incursions

This paper provides an overview on the impact of agent-based models in the social sciences. It focuses on the reasons why agent-based models are seen as important innovations in the recent decades. It is aimed to evaluate the impact of this innovation on various disciplines, such as economics, sociology, anthropology, and behavioural sciences. It discusses the advances it contributed to achieve and illustrates some comparatively new fields to which it gave rise. Finally, it emphasizes some research issues that need to be addressed in the future

Local Economic Development Initiatives from the Bottom-Up: The Role of Community Development Corporations

This paper deals with the pivotal role played by community development corporations (CDCs) in local economic initiatives from the bottom-up. These non-profit organizations are challenging the top-down approach of political decision making, mobilizing community assets, connecting inside and outside resources, synthesizing visions, expertise and methods from private, public and community sectors. In doing so, they are demonstrating the relevance of non-profit organizations and institutions in fostering social capital and promoting collective action across different sectors and actors. To illustrate these arguments, this paper has reported two case studies of local economic development initiatives in North America that are centered on two CDCs. The positive effects and critical points of CDCs have been addressed

Social Entrepreneurship and Economic Development in Silicon Valley: A Case-Study on The Joint-Venture: Silicon Valley Network

Social entrepreneurs are playing a pivotal role in promoting intersector initiatives to address economic and social challenges in regions and local communities. This generates social capital to support an initiative-oriented collaboration framework among participants and across sectors. Such intersectoral initiatives are of paramount importance for the capacity of a region/community to set up innovative solutions to socioeconomic problems from the bottom-up, going beyond the limits of markets and government institutions. This is increasingly happening not only in depressed but also in developed regions and communities, such as Silicon Valley. This article reports on the Joint Venture: Silicon Valley Network, a nonprofit organization launched in 1992 to promote a series of intersectoral initiatives at the edge of the economy, society, and environment in Silicon Valley

Social Simulation That 'Peers into Peer Review'

This article suggests to view peer review as a social interaction problem and shows reasons for social simulators to investigate it. Although essential for science, peer review is largely understudied and current attempts to reform it are not supported by scientific evidence. We suggest that there is room for social simulation to fill this gap by spotlighting social mechanisms behind peer review at the microscope and understanding their implications for the science system. In particular, social simulation could help to understand why voluntary peer review works at all, explore the relevance of social sanctions and reputational motives to increase the commitment of agents involved, cast light on the economic cost of this institution for the science system and understand the influence of signals and social networks in determining biases in the reviewing process. Finally, social simulation could help to test policy scenarios to maximise the efficacy and efficiency of various peer review schemes under specific circumstances and for everyone involved.Peer Review, Social Simulation, Social Norms, Selection Biases, Science Policy

Micro Behavioural Attitudes and Macro Technological Adaptation in Industrial Districts. An Agent-Based Prototype

Industrial Districts (IDs) are complex productive systems based on an evolutionary network of heterogeneous, functionally integrated and complementary firms, which are within the same market and geographical space. Setting up a prototype, able to reproduce an idealised ID, we model cognitive processes underlying the behaviour of ID firms. ID firms are bounded rationality agents, able to process information coming from technology and market environment and from their relational contexts. They are able to evaluate such information and to transform it into courses of action, routinising their choices, monitoring the environment, categorising, typifying and comparing information. But they have bounded cognitive resources: attention, time and memory. We test two different settings: the first one shows ID firms behaving according to a self-centred attitude, while the second one shows ID firms behaving according to a social centred attitude. We study how such a strong difference at micro-level can affect at macro-level the technological adaptation of IDs

Is three better than one? simulating the effect of reviewer selection and behavior on the quality and efficiency of peer review

This paper looks at the effect of multiple reviewers and their behavior on the quality and efficiency of peer review. By extending a previous model, we tested various reviewer behavior, fair, random and strategic, and examined the impact of selecting multiple reviewers for the same author submission. We found that, when reviewer reliability is random or reviewers behave strategically, involving more than one reviewer per submission reduces evaluation bias. However, if scientists review scrupulously, multiple reviewers require an abnormal resource drain at the system level from research activities towards reviewing. This implies that reviewer selection mechanisms that protect the quality of the process against reviewer misbehavior might be economically unsustainable

Social Simulation That 'Peers into Peer Review'

This article suggests to view peer review as a social interaction problem and shows reasons for social simulators to investigate it. Although essential for science, peer review is largely understudied and current attempts to reform it are not supported by scientific evidence. We suggest that there is room for social simulation to fill this gap by spotlighting social mechanisms behind peer review at the microscope and understanding their implications for the science system. In particular, social simulation could help to understand why voluntary peer review works at all, explore the relevance of social sanctions and reputational motives to increase the commitment of agents involved, cast light on the economic cost of this institution for the science system and understand the influence of signals and social networks in determining biases in the reviewing process. Finally, social simulation could help to test policy scenarios to maximise the efficacy and efficiency of various peer review schemes under specific circumstances and for everyone involved