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May 2020

Spatial Characterization of Urban Land Use through Machine Learning

World Resources Institute (WRI)
This technical note describes the data sources and methodology underpinning a computer system for the automated generation of land use/land cover (LULC) maps of urban areas.
February 2020

Leveraging Water Data in a Machine Learning–Based Model for Forecasting Violent Conflict

World Resources Institute (WRI)
This technical note presents a methodology to forecast conflict (defined as organised violence resulting in at least 10 fatalities over a 12-month period) up to a year in advance using a random forest model.
13 November 2018
Online

CMCC Webinar: Machine Learning and Cloud Process Parameterization for Weather and Climate Models

On 13 November 2018 (3:00 pm CET), Centro Euro-Mediterraneosui Cambiamenti Climatici is hosting a webinar on Machine Learning and Cloud Process Parameterization for Weather and Climate Models.

Mar Reguant

Assistant Professor
Northwestern University
January 2020

The Impact of Big Data and Artificial Intelligence (AI) in the Insurance Sector

Organisation for Economic Co-operation and Development (OECD)
This report examines both the benefits and risks big data and AI can bring to the insurance industry. In particular, this reports discusses how the OECD Recommendation on Artificial Intelligence and the European Commission’s Independent High-Level Expert Group on Artificial Intelligence’s (HLAG AI) Ethics Guidelines for Trustworthy AI should be considered in the context of the insurance sector.
March 2020

Estimating Power Plant Generation in the Global Power Plant Database

World Resources Institute (WRI)
This technical note documents methods to estimate the annual electricity generation of power plants for the Global Power Plant Database.
December 2016

Fintech and Sustainable Development: Assessing the Implications

Inquiry into the Design of a Sustainable Financial System (UN Environment Inquiry)
The report, Fintech and Sustainable Development - Assessing the Implications, assesses how the financial system’s core functions are likely to be disrupted by financial technology (“fintech”) innovations and how they could help – or hinder – efforts to align financing with sustainable development.
January 2016

Korea's Green Growth Experience: Process, Outcomes and Lessons Learned

Global Green Growth Institute (GGGI)

As various countries explore the merits of green growth in their policies and programs, the Republic of Korea’s (ROK) transition toward green growth serves as an exemplary model.

February 2013

Green Economy Initiatives: Success stories and lessons learned in the Arab Region

United Nations Economic and Social Commission for Western Asia (UNESCWA)

Renewable energy together with energy efficiency, sustainable transport, sustainable agriculture, sustainable tourism, green building and waste management are economic sectors which are often considered capable of paving the way for a transition to a green economy and providing win-win solutions

December 2012

Green Economy Initiatives: Success Stories and Lessons Learned in the Arab Region

United Nations Economic and Social Commission for Western Asia (UNESCWA)

Renewable energy together with energy efficiency, sustainable transport, sustainable agriculture, sustainable tourism, green building and waste management are economic sectors which are often considered capable of paving the way for a transition to a green economy and providing win-win solutions

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