26 research outputs found

    Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance

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    Advancing equity is a complex challenge for society, science, and policy. Agent-based models are increasingly used as scientific tools to advance understanding of systems, inform decision-making, and share knowledge. Yet, equity has not received due attention within the agent-based modeling (ABM) literature. In this paper, we develop a conceptual framework and provide guidance for integrating equity considerations into ABM research and modeling practice. The framework conceptualizes ABM as interfacing with equity outcomes at two levels (the science-society interface and within the model itself) and the modeler as a filter and lens that projects knowledge between the target system and the model. Within the framework, we outline three complementary, equity-advancing action pathways: (1) engage stakeholders, (2) acknowledge positionality and bias, and (3) assess equity with agent-based models. For Pathway 1, we summarize existing guidance within the participatory modeling literature. For Pathway 2, we introduce the positionality and bias document as a tool to promote modeler and stakeholder reflexivity throughout the modeling process. For Pathway 3, we synthesize a typology of approaches for modeling equity and ffer a set of preliminary suggestions for best practice. By engaging with these action pathways, modelers both reduce the risks of inadvertently perpetuating inequity and harness the opportunities for ABM to play a larger role in creating a more equitable future

    A Socio-Technical and Co-Evolutionary Framework for Reducing Human-Related Risks in Cyber Security and Cybercrime Ecosystems

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    The focus on cyber security as an interaction between technical elements and humans has typically confined consideration of the latter to practical issues of implementation, conventionally those of `human performance factors' of vigilance etc., 'raising awareness' and/or 'incentivization' of people and organizations to participate and adapt their behavior. But this is far too narrow a view that seriously constrains the ability of cyber security as a whole to adapt and evolve to keep up with adaptive, innovative attackers in a rapidly-changing technological, business and social landscape, in which personal preferences of users are also dynamically evolving. While there is isolated research across different research areas, we noticed the lack of a \emph{holistic} framework combining a range of applicable theoretical concepts (e.g., cultural co-evolution such as technological arms races, opportunity management, behavioral and business models) and technological solutions on reducing human-related risks in the cyber security and cybercrime ecosystems, which involve multiple groups of human actors including offenders, victims, preventers and promoters. This paper reports our ongoing work in developing such a socio-technical framework 1) to allow a more comprehensive understanding of human-related risks within cyber security and cybercrime ecosystems and 2) to support the design of more effective approaches to engaging individuals and organizations in the reduction of such risks. We are in the process of instantiating this framework to encourage behavioral changes in two use cases that capture diverse and complicated socio-technical interactions in cyber-physical systems

    Lower land-use emissions responsible for increased net land carbon sink during the slow warming period

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    The terrestrial carbon sink accelerated during 1998–2012, concurrently with the slow warming period, but the mechanisms behind this acceleration are unclear. Here we analyse recent changes in the net land carbon sink (NLS) and its driving factors, using atmospheric inversions and terrestrial carbon models. We show that the linear trend of NLS during 1998–2012 is about 0.17 ± 0.05 Pg C yr−2 , which is three times larger than during 1980–1998 (0.05 ± 0.05 Pg C yr−2). According to terrestrial carbon model simulations, the intensification of the NLS cannot be explained by CO2 fertilization or climate change alone. We therefore use a bookkeeping model to explore the contribution of changes in land-use emissions and find that decreasing land-use emissions are the dominant cause of the intensification of the NLS during the slow warming period. This reduction of land-use emissions is due to both decreased tropical forest area loss and increased afforestation in northern temperate regions. The estimate based on atmospheric inversions shows consistently reduced land-use emissions, whereas another bookkeeping model did not reproduce such changes, probably owing to missing the signal of reduced tropical deforestation. These results highlight the importance of better constraining emissions from land-use change to understand recent trends in land carbon sinks

    Experiments in Globalisation, Food Security and Land Use Decision Making

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    The globalisation of trade affects land use, food production and environmentsaround the world. In principle, globalisation can maximise productivity andefficiency if competition prompts specialisation on the basis of productive capacity.In reality, however, such specialisation is often constrained by practical or politicalbarriers, including those intended to ensure national or regional food security.These are likely to produce globally sub-optimal distributions of land uses. Bothoutcomes are subject to the responses of individual land managers to economicand environmental stimuli, and these responses are known to be variable and often(economically) irrational. We investigate the consequences of stylised food securitypolicies and globalisation of agricultural markets on land use patterns under avariety of modelled forms of land manager behaviour, including variation inproduction levels, tenacity, land use intensity and multi-functionality. We find that asystem entirely dedicated to regional food security is inferior to an entirelyglobalised system in terms of overall production levels, but that several forms ofbehaviour limit the difference between the two, and that variations in land useintensity and functionality can substantially increase the provision of food and otherecosystem services in both cases. We also find emergent behaviour that results inthe abandonment of productive land, the slowing of rates of land use change andthe fragmentation or, conversely, concentration of land uses following changes indemand levels

    Tropical forest loss enhanced by large-scale land acquisitions

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    Tropical forests are vital for global biodiversity, carbon storage and local livelihoods, yet they are increasingly under threat from human activities. Large-scale land acquisitions have emerged as an important mechanism linking global resource demands to forests in the Global South, yet their influence on tropical deforestation remains unclear. Here we perform a multicountry assessment of the links between large-scale land acquisitions and tropical forest loss by combining a new georeferenced database of 82,403 individual land deals—covering 15 countries in Latin America, sub-Saharan Africa and Southeast Asia—with data on annual forest cover and loss between 2000 and 2018. We find that land acquisitions cover between 6% and 59% of study-country land area and between 2% and 79% of their forests. Compared with non-investment areas, large-scale land acquisitions were granted in areas of higher forest cover in 11 countries and had higher forest loss in 52% of cases. Oil palm, wood fibre and tree plantations were consistently linked with enhanced forest loss while logging and mining concessions showed a mix of outcomes. Our findings demonstrate that large-scale land acquisitions can lead to elevated deforestation of tropical forests, highlighting the role of local policies in the sustainable management of these ecosystems
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