[HTML][HTML] Games and fieldwork in agriculture: A systematic review of the 21st century in economics and social science
Games are particularly relevant for field research in agriculture, where alternative
experimental designs can be costly and unfeasible. Games are also popular for non …
experimental designs can be costly and unfeasible. Games are also popular for non …
Agricultural decision making and climate uncertainty in develo** countries
In situations of uncertainty, people often make decisions with heuristic shortcuts or decision
rules, rather than using computational or logical methods such as optimizing their behavior …
rules, rather than using computational or logical methods such as optimizing their behavior …
[HTML][HTML] A methodology to develop agent-based models for policy support via qualitative inquiry
Qualitative research is a powerful means to capture human interactions and behavior.
Although there are different methodologies to develop models based on qualitative …
Although there are different methodologies to develop models based on qualitative …
The importance of ontological structure: why validation by 'fit-to-data'is insufficient
G Polhill, D Salt - Simulating social complexity: A handbook, 2017 - Springer
This chapter will briefly describe some common methods by which people make quantitative
estimates of how well they expect empirical models to make predictions. However, the …
estimates of how well they expect empirical models to make predictions. However, the …
[CARTE][B] Agent-based modelling: A tool for addressing the complexity of environment and development policy issues
R Taylor, MC Besa, J Forrester - 2022 - JSTOR
Integrated policy problems call for integrated analysis. However, micro and macro
approaches imply differences of perspective that conventionally have not been easy to unify …
approaches imply differences of perspective that conventionally have not been easy to unify …
Towards participatory multi-modeling for policy support across domains and scales: a systematic procedure for integral multi-model design
Policymaking for complex challenges such as pandemics necessitates the consideration of
intricate implications across multiple domains and scales. Computational models can …
intricate implications across multiple domains and scales. Computational models can …
A methodology to develop agent-based models for policy design in socio-technical systems based on qualitative inquiry
Agent-based models (ABM) for policy design need to be grounded in empirical data. While
many ABMs rely on quantitative data such as surveys, much empirical research in the social …
many ABMs rely on quantitative data such as surveys, much empirical research in the social …
Mathematical Programming Model for Multi-Objective Smallholder Farming Systems in North-East Nigeria
Farm households in North-east Nigeria (NEN) are mostly smallholders engaging
predominantly in crop production. Provision of household food requirements is a vital …
predominantly in crop production. Provision of household food requirements is a vital …
Combining tacit knowledge elicitation with the SilverKnETs tool and random forests–The example of residential housing choices in Leipzig
S Scheuer, D Haase, A Haase… - … and Planning B …, 2020 - journals.sagepub.com
Residential choice behaviour is a complex process underpinned by both housing market
restrictions and individual preferences, which are partly conscious and partly tacit …
restrictions and individual preferences, which are partly conscious and partly tacit …
A relational vulnerability analytic: exploring hybrid methodologies for human dimensions of climate change research in the Himalayas
Vulnerability assessments are critical tools when exploring the Human Dimensions of
Climate Change in the Global South. Additionally, Social Ecological Systems research …
Climate Change in the Global South. Additionally, Social Ecological Systems research …