Build an AI-powered Urban Development Architect

Contact: James Hodson,  james@hodson.io

Short Description: SDG11 aims to ensure access to inclusive, safe, resilient and sustainable housing. Build AI models for integrated human settlement planning.

Detailed Description: In the world, nearly 1 person is forcibly displaced every two seconds as a result of conflict or persecution. We are now witnessing the highest levels of displacement on record.

An unprecedented 68.5 million people around the world have been forced from home.

The objective of this project is to model displacement patterns and displacement effects on urban development in countries which are accepting a surge of immigrants coming from politically unstable territories. Suggest sustainable urban development plans, affordable housing programs, and inform policy decisions at the local, and country-wide levels. Projects will include Data Mining, Machine Learning, data management platforms, and visualization engines to allow cities to interact with the data and assist in decision making. Successful projects will have the opportunity to present their products in front of city leaders, researchers, and policy-makers at the AI for Good Foundation Global Conference in 2019!

Available Data Sets:

UN Habitat: http://urbandata.unhabitat.org/

Global Partnership for Sustainable Development Data: http://www.data4sdgs.org/

The World Bank: https://data.worldbank.org/indicator/sp.pop.totl

The World Bank: https://data.worldbank.org/indicator/EN.POP.SLUM.UR.ZS?view=chart

The World Bank: https://data.worldbank.org/products/wdi-maps

Open Government Platform India: https://data.gov.in/keywords/slums

UNHCR: http://popstats.unhcr.org/en/overview

data.world: https://data.world/datasets/immigration

iDMC:http://www.internal-displacement.org/database

Migration Data Portal: https://migrationdataportal.org/iom-data

World Inequality Database: https://wid.world/

HUD: https://www.huduser.gov/portal/home.html

IDMC: http://www.internal-displacement.org/database/displacement-data

Stanford center on Poverty and Inequality: https://inequality.stanford.edu/income-segregation-maps

More data…