Predicting Farms’ Donations to Food Banks using the Analytic Hierarchical Process and Dempster Shafer Theory

Kyei, Kofi; Esterline, Albert; Mason, Janelle

doi:10.1109/southeastcon44009.2020.9368280

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The paper highlights the app's integration with other useful apps, its impact on AI for Smart Cities, its deployment on the Android platform, and positive user feedback. "Predicting Farms' Donations to Food Banks using the Analytic Hierarchical Process and Dempster Shafer Theory" [5] analyzes factors contributing to annual sweet potato donations to Feeding the " Android application for food, clothing, and book Carolinas from 2010 to 2016. "Forecast and Analysis of Food Donations Using Support Vector Regression" [6] explores the use of Support Vector Regression for predicting monthly food donation quantities, showcasing its potential in addressing food donation supply uncertainty.…”

Section: Literature Reviewmentioning

confidence: 99%

GIFTWINGS: A Donation Hub for Community Support

Kulkarni

2023

IJSREM

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Food, clothing, and books are among the most essential and critical provisions for human well- being. Unfortunately, the issue of food insecurity, characterized by the absence of safe, nutritious, and sufficient food, persists as a significant problem in our society, especially in low-income communities. The three essentials such as food, cloth and book represent the most basic requirements of humanity, and it is imperative that they are met as swiftly as possible. Regrettably, in today's society, a significant number of individuals struggle to afford or access these fundamental necessities for survival. This Android application offers a solution to these challenges, enabling users to contribute food, clothing, and books free of charge, while allowing those in need to collect these donations when required. A noteworthy feature of this application is its ability to connect donors with recipients who seek the same type of donation. Unlike other donation platforms that often focus on one specific need, such as food, cloth and book. Key Words: donation platform, secondhand market, wastage reduction, donation catalog, affluent society, NGO’s.

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Section: Literature Reviewmentioning

confidence: 99%

GIFTWINGS: A Donation Hub for Community Support

Kulkarni

2023

IJSREM

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“…Revenue from private donations changes constantly, and there is active research developing methods to improve donation forecasting accuracy in different sectors (Britto & Oliver, 1986;Nuamah et al, 2015;Adam et al, 2020;Kyei et al, 2020). Regardless of its mandate or size, any organization relying on a non-compulsory fundraising vehicle such as donations is subject to sudden and seemingly unpredictable changes (Figure 1); in particular, small organizations with narrowly defined mandates and smaller fundraising capabilities might have more difficulty buffering these changes across years.…”

Section: Introductionmentioning

confidence: 99%

Investing in monarch conservation: understanding private funding dynamics

Solis-Sosa¹,

Semeniuk²,

Larrivée³

et al. 2022

Front. Conserv. Sci.

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Non-profit environmental organizations (NGOs) rely heavily on external donors to fulfill their mandates. However, forecasting donations for long-term planning is an elusive task at best. The non-compulsory nature of donation requires NGOs to understand how donors’ attention and funding allocations change over time as conservation scenarios change and incorporate these insights into their budgeting plans. We hypothesize that an NGO can hinder its capacity to reach its conservation goals by neglecting its donor-NGO-natural system (DNNS), which is reactive to the socio-ecological context. To test our hypothesis, we compared the ecological outcomes derived from a budgeting strategy assuming donors have a fixed willingness to pay throughout the program (open-loop) against the reality that donor preferences change over time (closed-loop) based on the evolving ecological context, partly driven by the program’s actions. Our analysis was performed using two different willingness to pay (WTP) behavioural models, one representing donors informed about the success of the program supported (GPI), and another without such information (GPI), evidencing how the underlying assumptions about the target donors can radically change the organization’s fundraising strategy. Next, we used our closed-loop approach to estimate NGO’s optimal yearly donation requests to achieve a conservation target. Finally, we tested the consequences of presuming an incorrect WTP behavioural model while estimating optimal yearly donation requests by applying the optimization results from the previous step into a model parameterized with a different behavioural model. Our model was created by coupling a discrete choice experiment (DCE) and a systems dynamics model, developing a coupled social-ecological model of the eastern Monarch butterfly (Danaus plexippus), a charismatic long-distant migrant butterfly that has dwindled in numbers across North America mainly due to the increases in GMO agriculture. Our results showed a significant difference in donations received and ecological outcome forecasted by an open-loop model and the actual numbers obtained by the more real-life, closed-loop model, highlighting the importance of accounting for human behaviour during the planning phase of a long-term conservation strategy. Next, when we used our closed-loop to estimate optimal donation requests, the conservation objectives and funds raised were consistently and efficiently achieved, regardless of the underlying behavioural WTP model. We also designed novel visual tools from the behaviour WTP model exploration to bridge the gap between science insights obtained from DCEs and decision-making. However, when we used closed-loop optimal donation requests obtained from one WTP behaviour model into a simulation parameterized with different WTP behavioural models, considerable ecological and financial targets deviations arose. These deviations highlight the importance of acknowledging the dynamic nature of donor’s behaviour and the need to thoroughly characterize such behaviour. Finally, we introduce a novel forecasting tool that conservation managers will have at their disposal to improve the accuracy of their budget forecasting and, ultimately, increase the program’s success rate.

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