Data and AI
A Machine-Learning Model Can Help Reunite Long-Separated Families
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching imperfect, self-reported memories from parents and children.
Online and Off, We Are Drawn Toward Those with Similar Writing Styles
Both online and in-person friendships are more likely to develop between people who have similar linguistic styles, according to a new study co-authored by Balázs Kovács at Yale SOM.
Can Big Data Fight a Pandemic?
The COVID-19 crisis has intensified the debate over big data and privacy. Governments are pulling together data from public and private systems in order to predict and counter the spread of COVID-19. But setting aside privacy protections in a time of crisis could lead to new, permanent norms.
Are Electronic Health Records Useful Yet?
The story of EHRs serves as a prelude to what we’re experiencing today in almost every facet of our lives: a utopian promise of ubiquitous data tempered by technical challenges and concerns over privacy.
How Machine Learning Can Find Extremists on Social Media
Yale SOM's Tauhid Zaman investigated how artificial intelligence could assist efforts to detect and suspend extremist accounts, before they are used to recruit members and spread propaganda.
Researchers Propose New Method to Hedge against the Risk of Climate Disaster
Markets could be a huge part of mitigating climate risk. A proposal from Yale finance faculty seeks to make that a reality.
A Decision Analysis Approach Points to Better Diagnosis of Prostate Cancer
A new study led by Yale SOM’s Arthur J. Swersey, using decision analysis techniques, finds that increasing the number of biopsy needles and using probability modeling to analyze the results can help prevent unnecessary treatment while identifying dangerous cancers.
Equalizing School Spending Boosts Lifelong Income
School finance reforms that equalize spending across rich and poor neighborhoods improve the long-term economic outcomes of disadvantaged children.
Despite Job Losses, U.S. Benefitted from Surge of Trade with China
When Chinese imports sharply rose from 2000 to 2007, American manufacturing jobs suffered, but other sectors benefitted, leading to a net increase in U.S. welfare.
Will Machine Learning Transform Finance?
Charles Elkan, Goldman Sachs’ global head of machine learning, on the technology can extract value from the natural resource that is defining this century—data.
