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maxwellmkondiwa's Projects

aaai23-eval-agrirecommendations icon aaai23-eval-agrirecommendations

"Evaluating Digital Agriculture Recommendations with Causal Inference". It was accepted and presented in the special track on Artificial Intelligence for Social Impact, AAAI-23

abm-calibration icon abm-calibration

Agent based model of Innovation Diffusion with a focus on the calibration algorithm

acv00 icon acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

aitlas icon aitlas

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

arcgis-tutorial icon arcgis-tutorial

Contains the tutorials for Arc I created for earlier iterations of my class Spatial Techniques in Empirical Economics

awash icon awash

America's Water AWASH Model

bammodel icon bammodel

Agent-based computational economics (ACE)

bayes icon bayes

Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.

bayestable icon bayestable

R package that creates LaTex tables out of MCMC chains

bect-abm icon bect-abm

An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development

bees icon bees

This is the public code for the manuscript "Honey Bees, Almond, and colonies mortality: An Economic Simulation of the U.S. Pollination Market"

carleton_mortality_2022 icon carleton_mortality_2022

Supporting material for “ Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits” (Carleton et al. 2022)

certification_prioritization icon certification_prioritization

Supplementary Materials for 'Prioritizing certification interventions to improve climate change adaptation and mitigation outcomes - a case study for banana plantations'

closing_gaps_bayes icon closing_gaps_bayes

This repository contains data and code accompanying a paper on "Closing the Gaps in Experimental and Observational Crop Response Estimates: A Bayesian Approach"

coderepositoryforms2021339 icon coderepositoryforms2021339

This repository contains the code, data and visualisation for the paper titled Modeling Intensification decision in Kilombero Valley Floodplain: A Bayesian Belief Network Approach.

comola icon comola

CoMOLA is a generic python tool for Constrained Multi-objective Optimization of Land use Allocation.

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