Big Data

Big Data
essay
Tracking Migration Amid War and Disease
Apr 28, 2022
Researchers from RAND and RAND Europe have been working on a way to better track migrant numbers, country by country and state by state, in almost real time. They do it by tapping into one of the largest information-gathering operations on the planet, Facebook.
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Terrorism Threat Assessment
blog
Terrorism Research: How RAND Defined and Built a New Field of Knowledge
Mar 9, 2022
In the early 1970s, amid a worldwide rash of bombings, hijackings, and hostage-takings, RAND researchers began creating the first international database of terrorist incidents. Maintained until 2009, it chronicles more than 40,000 terrorist attacks since 1968.
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Machine Learning
commentary
Reining in COVID-19 Disinformation from China, Russia, and Elsewhere
Christian Johnson, William Marcellino
Nov 19, 2021
The RAND Blog
During the pandemic, misinformation and conspiracy theories have spread more virulently than ever before. The vast scale of the problem means scalable solutions like machine learning could be needed to rein in the bots, trolls, and conspiracy theories being spread by bad-faith actors.
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Military Strategy
commentary
The United States Can Achieve AI Dominance with Its Allies
James Ryseff
Oct 9, 2020
War on the Rocks
Close collaborators in any AI alliance must be able to usefully contribute to the work and be trustworthy enough to share in cutting-edge technical advancements. While achieving this close collaboration with allies may be difficult, it will be essential if the United States hopes to achieve the data dominance needed to succeed in future combat.
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Coronavirus Disease 2019 (COVID-19)
blog
The Evidence on Kids and COVID-19, China's Use of Big Data, Telemedicine: RAND Weekly Recap
Sep 4, 2020
This weekly recap focuses on what we know (and what we don't) about kids and COVID-19, how China is using big data, the future of telemedicine, and more.
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Artificial Intelligence
commentary
Catholic Church and Tech Companies Join to Call for Transparency in AI
Patrick S. Roberts @RamblingRoberts
Mar 31, 2020
United Press International
The Catholic Church joined with technology companies in February to release the “Rome Call for AI Ethics,” which it hopes will lend meaning if not governance frameworks for the use of artificial intelligence. Making sure that “everyone can benefit” from AI by making its discoveries widely available will be important. This is perhaps where the church can be most effective.
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Media Literacy
commentary
Our Actions Determine What We Read and See Online. Algorithms Are Only a Part of That Process
Tor Richardson-Golinski, Amelia Harshfield, Advait Deshpande
Feb 7, 2020
Open Access Government
As social media has increasingly become the main outlet for people to acquire news and opinion, there are concerns about the effect of algorithm-driven services on the spread of misleading information. But the issue doesn't merely lie with how social platforms use algorithms to deliver content.
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Information Operations
commentary
Artificial Intelligence and the Manufacturing of Reality
Christopher Paul, Marek N. Posard @mnposard
Jan 20, 2020
Strategy Bridge
Humans carry flaws in deciding what is or is not real. The internet and other technologies have made it easier to weaponize and exploit these flaws. And artificial intelligence will likely be used to exploit these weaknesses at an unprecedented scale, speed, and level of effectiveness.
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Intelligence Analysis
q&a
Intel, Ethics, and Emerging Tech: Q&A with Cortney Weinbaum
Aug 23, 2019
Cortney Weinbaum studies topics related to intelligence and cyber policy as a senior management scientist at RAND. In this interview, she discusses challenges facing the intelligence community, the risks of using AI as a solution, and ethics in scientific research.
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The Internet
commentary
Three 'New Rules' Worth Considering for the Internet
Daniel M. Gerstein @Daniel_Gerstein
May 10, 2019
TechCrunch
Facebook's Mark Zuckerberg has called for new internet regulation starting in four areas: harmful content, election integrity, privacy, and data portability. But why stop there? His proposal could be expanded to include much more: security-by-design, net worthiness, and updated internet business models.
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Bioethics
commentary
Biology, in the Language of the People
Timothy Marler, Dona Odell
Feb 21, 2019
Annals of Biostatistics & Biometric Applications
As technology and the ability to gather ever-growing amounts of data move further into the realms of biology and human performance, communication and transparency become increasingly important. Experts should consider whether they are using the words, examples, and models that connect with a broad audience most effectively.
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Artificial Intelligence
commentary
Does the U.S. Face an AI Ethics Gap?
Benjamin Boudreaux
Jan 11, 2019
RealClearDefense
Instead of worrying about an artificial intelligence “ethics gap,” U.S. policymakers and the military community could embrace a leadership role in AI ethics. This may help ensure that the AI arms race doesn't become a race to the bottom.
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commentary
Data Breaches Could Cause Users to Opt Out of Sharing Personal Data. Then What?
Douglas Yeung @DouglasCYeung
Dec 28, 2018
United Press International
As tech-based systems have become all but indispensable, many institutions might assume user data will be reliable, meaningful and, most of all, plentiful. But what if this data became unreliable, meaningless, or even scarce?
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commentary
Intentional Bias Is Another Way Artificial Intelligence Could Hurt Us
Douglas Yeung @DouglasCYeung
Oct 22, 2018
Scientific American
Conversations about unconscious bias in artificial intelligence often focus on algorithms unintentionally causing disproportionate harm to entire swaths of society. But the problem could run much deeper. Society should be on guard for the possibility that nefarious actors could deliberately introduce bias into AI systems.
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Artificial Intelligence
commentary
Keeping Artificial Intelligence Accountable to Humans
Osonde A. Osoba @OsondeOsoba
Aug 20, 2018
TechCrunch
Artificial intelligence (AI) systems are often only as intelligent and fair as the data used to train them. To enable AI that frees humans from bias instead of reinforcing it, experts and regulators must think more deeply not only about what AI can do, but what it should do—and then teach it how.
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Artificial Intelligence
q&a
The Human Side of Artificial Intelligence: Q&A with Osonde Osoba
May 1, 2018
Osonde Osoba has been exploring AI since age 15. He says it's less about the intelligence and more about being able to capture how humans think. He is developing AI to improve planning and is also studying fairness in algorithmic decisionmaking in insurance pricing and criminal justice.
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Page 1 of 4

U.S. Policy Toward the Taliban: Engage, Isolate, or Oppose?

Engaging Youth with Public Policy: Middle School Lessons to Counter Truth Decay

The Gun Laws That Work, and the Gun Laws That Don't

Is a Recession Coming? A Key Indicator Is Also the King of Mixed Messages

Expert Insights: Truth Decay in Europe

The Policy Currents Podcast

Improving Psychological Wellbeing and Work Outcomes in the UK

Managing Escalation in Crisis and War

Getting to Know Military Caregivers and Their Needs

Planning for the Rising Costs of Dementia

Big Data

Tracking Migration Amid War and Disease

Terrorism Research: How RAND Defined and Built a New Field of Knowledge

Reining in COVID-19 Disinformation from China, Russia, and Elsewhere

The United States Can Achieve AI Dominance with Its Allies

The Evidence on Kids and COVID-19, China's Use of Big Data, Telemedicine: RAND Weekly Recap

Catholic Church and Tech Companies Join to Call for Transparency in AI

Our Actions Determine What We Read and See Online. Algorithms Are Only a Part of That Process

Artificial Intelligence and the Manufacturing of Reality

Intel, Ethics, and Emerging Tech: Q&A with Cortney Weinbaum

Three 'New Rules' Worth Considering for the Internet

Biology, in the Language of the People

Does the U.S. Face an AI Ethics Gap?

Data Breaches Could Cause Users to Opt Out of Sharing Personal Data. Then What?

Intentional Bias Is Another Way Artificial Intelligence Could Hurt Us

Keeping Artificial Intelligence Accountable to Humans

The Human Side of Artificial Intelligence: Q&A with Osonde Osoba

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