Forecasting for Social Good

@article{Tabar2020ForecastingFS,
  title={Forecasting for Social Good},
  author={Bahman Rostami Tabar and Mohammad M. Ali and Tao Hong and Rob J. Hyndman and Michael D. Porter and Aris A. Syntetos},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.11669}
}
Forecasting plays a critical role in the development of organisational business strategies. Despite a considerable body of research in the area of forecasting, the focus has largely been on the financial and economic outcomes of the forecasting process as opposed to societal benefits. Our motivation in this study is to promote the latter, with a view to using the forecasting process to advance social and environmental objectives such as equality, social justice and sustainability. We refer to… Expand

Figures from this paper

Forecasting and its Beneficiaries
This chapter addresses the question of who benefits from forecasting, using ’Forecasting for Social Good’ as a motivating framework. Barriers to broadening the base of beneficiaries are identified,Expand
Epidemiological versus meteorological forecasts: Best practice for linking models to policymaking
TLDR
This perspective identifies best practices in each domain that can be adopted by the others, which can be used to inform each field separately as well as to facilitate a more effective combined use for the management of compound and evolving risks. Expand

References

SHOWING 1-10 OF 159 REFERENCES
Forecasting and operational research: a review
TLDR
It is argued that the unique contribution that OR can continue to make to forecasting is through developing models that link the effectiveness of new forecasting methods to the organizational context in which the models will be applied. Expand
The environmental efficiency of well-being: A cross-national analysis
Abstract Recent research has conceptualized sustainability as the environmental efficiency of well-being (EWEB). This concept takes into account the benefits societies are able to produce from theirExpand
A decision-analysis-based framework for analysing stakeholder behaviour in scenario planning
TLDR
This work presents a practical decision-analysis-based methodology for analysing stakeholder objectives and likely behaviour within contested unfolding futures and shows that the augmentation of scenario method provides a further, nuanced, analysis of the power and objectives of all concerned stakeholders across a variety of unfolding futures. Expand
Forecasting for inventory planning: a 50-year review
TLDR
The relevant literature is reviewed and synthesized to promote some convergence between different approaches to inventory forecasting and planning and concludes with an inter-disciplinary agenda for further research. Expand
Supply chain forecasting: Theory, practice, their gap and the future
TLDR
A comprehensive review of the literature in Supply Chain Forecasting aims at bridging the gap between theory and practice in the existing knowledge base in SCF, highlighting the most promising approaches and suggesting their integration in forecasting support systems. Expand
Forecasting in social settings: The state of the art
TLDR
A non-systematic review of the progress of forecasting in social settings, aimed at someone outside the field of forecasting who wants to understand and appreciate the results of the M4 Competition, and forms a survey paper regarding the state of the art of this discipline. Expand
Societal impacts of big data: challenges and opportunities in Europe
TLDR
The risks and opportunities of big data and the potential social benefits it can bring are presented and several best practices are suggested to capture these benefits. Expand
Global governance by goal-setting: the novel approach of the UN Sustainable Development Goals
The 17 Sustainable Development Goals (SDGs) of the United Nations present a novel approach to global governance where goal-setting features as a key strategy. ‘Governance through goals’, asExpand
The State of Macroeconomic Forecasting
Macroeconomic forecasts are used extensively in industry and government. The historical accuracy of US and UK forecasts are examined in the light of different approaches to evaluating macroforecasts.Expand
Data Projects for “Social Good”: Challenges and Opportunities
One of the application fields for data analysis techniques and technologies gaining momentum is the area of social good or “common good”, covering cases related to humanitarian crises, global healthExpand
...
1
2
3
4
5
...