Innovations in Methods and Data
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Putting machine learning to work for development
A team of researchers have created a machine-learning tool to encourage the development of new ways to measure progress on the UN’s Sustainable Development Goals.
November 08, 2021
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Protecting health care workers in low-resourced Bangladesh
Faculty Affiliates Michele Barry, Stephen Luby, and Manu Prakash are working to protect health care workers in low-resourced Bangladesh.
August 09, 2021
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Harnessing digital technologies to advance global precision health and development
A panel of experts discussed technology's vast potential to promote public health and its many challenges
July 16, 2021
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A new validated tool helps predict lifetime health outcomes for prediabetes and type 2 diabetes in Chinese populations
Faculty Affiliate Karen Eggleston developed a new simulation model to tackle diabetes and prediabetes among Chinese and East Asian populations.
July 13, 2021
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Satellites enhance sustainable development inquiries
A new paper in Science by King Center researchers documents progress in using satellite imagery and machine learning techniques to study development trends.
March 18, 2021
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Melding artificial intelligence and algorithms with health care and policy to combat human trafficking
The Stanford Human Trafficking Data Lab conducts critical research using promising innovations in modern data science.
February 24, 2021
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Postdoctoral fellow Brandon de la Cuesta on using data for sustainable development and what's next for him at Stanford
In a Q&A, Brandon de la Cuesta reflects on his time spent at the King Center as a 2019 - 2020 postdoctoral fellow, as well as his research on resource-revenue accountability.
June 18, 2020
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Desalination solution
Taking a new approach Faculty Affiliate William Tarpeh has created a device that could make converting seawater to freshwater profitable and environmentally benign.
June 01, 2020
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Harnessing satellite imagery and AI to help fight poverty in Africa
Stanford researchers involved with the Data for Development initiative harness satellite imagery and AI to help fight poverty in Africa.
May 22, 2020
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Stanford lab emphasizes scientific rigor in creative COVID-19 solutions
Working on several possible COVID-19 solutions, bioengineer Manu Prakash and his lab stress their obligation to produce careful and meticulous work.
April 30, 2020
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One way to potentially track Covid-19? Sewage surveillance
How many people have been infected with the new coronavirus? A group of Bay Area researchers aims to find out—by tracking what's in the local wastewater.
April 07, 2020
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Environmental engineers at Stanford discuss how to identify factors affecting COVID-19 transmission
Faculty Affiliate Alexandria Boehm describe potential transmission pathways of COVID-19 and their implications.
March 26, 2020
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Bringing AI to a neglected tropical disease
Traditional efforts to understand and predict the location of schistosomiasis snail populations involve taking samples at villagers’ water access points.
March 05, 2020
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Foldscope: science from curiosity and a little paper
Hear Faculty Affiliate Manu Prakash on NPR talk about the Foldscope, a low-cost microscope aimed at making scientific tools available for everyone.
February 20, 2020
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Stanford students learn about geospatial innovations and potential ramifications at King Center
In far reaching corners of the world, especially low- and middle-income countries, how can organizations gather and process information?
February 12, 2020
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Could machine learning put impoverished communities back on the map?
By discerning patterns in satellite imagery, five King Center faculty affiliates hope to assist poverty-stricken regions.
October 07, 2019
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An ingenious microscope could change how quickly disease is detected
Faculty Affiliate Manu Prakash is featured in The Atlantic about a new high-speed, malaria-detecting device called Octopi that he developed at Stanford
August 23, 2019
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Prawn predation, a win-win in the fight against poverty and parasites
Restoring ecological interactions may hold the key to poverty alleviation and disease reduction in Sub-Saharan Africa, a new study finds.
July 07, 2019
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Students in a new Stanford course use machine learning technology to provide new insights on key development challenges
The new Stanford course Data for Sustainable Development introduces students to new methods of using machine learning and satellite technology.
February 28, 2018
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Which revolution is more historic: Industrial or tech?
A new big data analysis spanning 200 years of patents shows that innovation bursts in the 1800s had greater social impact.
December 07, 2017
