drmaltman.bsky.social
drmaltman.bsky.social
@drmaltman.bsky.social
(Reposting ) Thanks to @thehill for publishing " ...it’s anti-democratic when political leaders dictate whether questions, data, and conclusions are appropriately scientific."
Views from the front lines of Trump’s war on the science community
The Trump administration has unleashed a tsunami of budget cuts to federal science programs. Mass firings have taken place at both the Department of Health and Human Services and the Department of Education, part of a deliberate decimation of research staff across the federal government. Since January, the administration has systematically cut science funding to its lowest level in decades and issued a flood of budget plans and executive orders that are reshaping how the government uses and supports science. Some outcomes have been immediate and tragic, including staffing shortages that have left cancer patients stranded during experimental drug trials and delays in approving COVID-19 vaccines. The extent of these actions is unprecedented. The administration for a time froze all grant funding at the National Science Foundation and abruptly terminated thousands of the ongoing projects that it funds, as well as those of the National Institutes of Health. As scientists at leading research institutions, we have personally witnessed the effects of the administration’s policies — including colleagues relocating overseas and students leaving research altogether. Undergraduate science internship programs have been canceled, and graduate programs in many research universities paused. As a result, scientists are increasingly seeking jobs abroad. The administration claims its goals are to increase efficiency and raise the standards of scientific research. In fact, thousands of programs and projects have been cut solely on the basis of ideologically motivated keyword searches, without any concern for their performance, design or conduct. That’s not efficient. A Trump executive order issued in May underscores the purely political nature of these attacks. Titled “Restoring Gold Standard Science,” the order puts hand-picked presidential appointees into every agency to review and “correct” any evidence or conclusions with which they disagree. That’s not scientific. Further, many of the administration’s policies effectively punish researchers simply for asking discomfiting questions and punish institutions for teaching about unpopular ideas. Viewed together, these outline a political strategy toward science that is both systematic and dangerous: a full-scale war on the scientific community, the network of individual researchers across many institutions whose collaboration is essential for scientific progress. Despite the media stereotype of a lone genius in a lab coat, science is really a communal activity. As Isaac Newton, one of the most important scientists of all time, wrote: “If I have seen further, it is by standing on the shoulders of giants.” Every research project builds on foundational theory, tested methods and vetted findings created and refined through previous research. And every scientist depends on the distributed efforts of an extensive community to vet and review manuscripts for publication and proposals for new research, maintain common journals, databases and tools needed to share and build upon knowledge and educate and train the next generation of talent who help operate their labs. Institutions of higher education are the traditional hosts for the scientific community in the U.S, providing an independent forum for developing and refining ideas, an environment for training students and infrastructure for labs and shared resources. For more than 80 years, U.S. society has partnered with these institutions to foster a healthy scientific community. Federal funding enabled universities to build and maintain the infrastructure necessary for scientific research and support the most promising students. The scientific community collaborated to evaluate proposals for research across fields, ensuring resources were directed to the highest-quality projects, independent of political and institutional bias. No system is perfect, but the external scientific community has successfully partnered with the government to provide independent guidance and vetting — balancing competing interests and perspectives to evaluate proposals, advise the agencies that set funding priorities, accredit the programs that train researchers, review research findings and publish research results. Scientists within the government participate in the larger scientific community, reinforcing community standards as they move between jobs, and preserve the autonomy to ask scientific questions and share their findings. The administration’s policies represent a three-fold attack on the scientific community. First, the administration aims to directly seize control over the key community functions that support scientific independence: Administrative actions have politicized the review processes for funding at National Institutes of Health and the National Science Foundation, suppressed scientific data and withdrawn support for students. Second, the administration aims to subdue universities that provide an independent home for the community by weaponizing institutional accreditation and student visas, threatening individual institutions and their leadership when they are slow to align with the administration’s ideology. Third, the administration is isolating scientists and scientific functions within the government. It does so by sidelining scientific expertise, firing entire independent expert advisory panels, canceling government access to scientific journals, preventing government scientists from publishing in them and, now, subjecting scientific analysis to systematic political modification and censorship. The government’s war against science is a disaster for both. Without intellectual and political independence, the scientific community can’t function effectively to discover new knowledge and solve hard problems. It’s magical thinking for politicians to expect to receive truthful answers about the world when they poll to find the most popular answer, pay to get the answers they want or ignore data they dislike. And it’s anti-democratic when political leaders dictate whether questions, data, and conclusions are appropriately scientific. Society needs science to tackle complex problems and to teach others how to do so. Science doesn’t function without a healthy scientific community. As citizens, we should debate what problems are essential. As voters, we should decide which problems deserve public research funding. As free people, we should not tolerate political attacks on science and the scientific community. Micah Altman is a social and information scientist at MIT’s Center for Research on Equitable and Open Scholarship, MIT Libraries. Philip N. Cohen is a professor of sociology at the University of Maryland, College Park. Copyright 2025 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
dlvr.it
September 22, 2025 at 4:40 PM
Delighted to be presenting with Michael McDonald @electproject.bsky.social about research on integrity in election administration at ADRCon 2025 in June. For more on how administrative data offers crucial insights into our democracy and communities, see:
Administrative Data Research Conference 2025 - Massive Data Institute
Join us in Washington, D.C. for the inaugural Administrative Data Research Conference (ADRCon) where together we will unlock the power of administrative data to serve the public good.
dlvr.it
May 9, 2025 at 5:15 PM
Released this week - useful guide for college students on using Generative AI by by @ITDFuture http://dlvr.it/TKg2rt Published by
@elonuniversity & @aacu ( full disclosure, I served as a reviewer for this latest version )
Get the 2025 Student Guide to Artificial Intelligence - Student Guide to Artificial Intelligence
Download your FREE copy of the 2025 Student Guide to Artificial Intelligence This guide is made available under a Creative Commons license by Elon University and the American Association of Colleges and Universities (AAC&U). Please share your contact information below...
dlvr.it
May 9, 2025 at 2:52 PM
My take is that we're accelerating the development of artificial relationships (for better and worse) -- but not making a major shift in the meaning of 'being human' or in individual human capacity.

http://dlvr.it/TJxSqv "
Being Human in 2035: Experts predict significant change in the ways humans think, feel, act and relate to one another in the Age of AI - Imagining the Digital Future Center
Release date April 2, 2025 – A majority of global technology experts say the likely magnitude of change in humans’ native capacities and behaviors as they adapt to artificial intelligence...
dlvr.it
April 3, 2025 at 10:58 PM
For data privacy week, some advice on protecting your information as a consumer:
http://dlvr.it/THjPNp

(And thanks to @TheOfficialACM for facilitating the conversation...)
Data Privacy Week: How to Take Control of Your Digital Life
Data Privacy Week highlights the importance of reclaiming your digital privacy by understanding data collection practices
dlvr.it
February 1, 2025 at 3:46 AM
This presentationt http://dlvr.it/THXqwp , for the recent MIT workshop on Research Ecosystem and Peer-review Practice traces the history of peer review and what we know about it .. it complements our observations on making peer review more scientific: http://dlvr.it/THXqwx
scholarly peer review
Scholarly Peer Review: How is it used? How well does it work? Micah Altman Center for Research on Equitable and Open Scholarship MIT Libraries <[email protected]> This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License -- with the exception of specific image...
dlvr.it
January 23, 2025 at 11:25 PM
Read it here:

Our study investigates the effectiveness of human-only, AI-assisted, and AI-led teams in assessing the reproducibility of quantitative social science research. " - http://dlvr.it/THXq18
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dlvr.it
January 23, 2025 at 10:58 PM
Check out Claudia R. Schneider @CRSchneider's and colleagues's review on communicating scientific evidence! It offers practical advice and emphasizes the importance of transparency in science and science communication.
Communication of Statistics and Evidence in Times of Crisis | Annual Reviews
dlvr.it
January 5, 2025 at 4:36 PM
Need DAGs? This recent article by Charlotte Fowler and Amy Pitts is a useful guide to tools for producing directed acyclic graphs for causal inference. http://dlvr.it/TH9jcT (Spoiler alert, DAGitty rocks..., and ggdag Tidy's it up )
Comparison of open-source software for producing directed acyclic graphs
dlvr.it
January 5, 2025 at 3:46 AM
Fascinating review of thirty years of theory of information cascades (by Bikhchandani, Hirshleifer, Tamuz and @ivowelch
Tamuz) : http://dlvr.it/TGJsmw . The complexity that arises from these models is beautiful, and the intuitions are illuminating.
Information Cascades and Social Learning
Information Cascades and Social Learning
dlvr.it
November 21, 2024 at 6:46 PM
Studying open science, open access, or equitable science? Our preprint guides design, measurement, and reporting: "Guidance for Reporting on Studies of Open and Equitable Scholarship" http://dlvr.it/TFj1Qt
OSF
dlvr.it
October 25, 2024 at 12:00 AM
(Thanks to HelpNet for inviting this commentary based our recent ACM techbrief.)

·
Rethinking privacy: A tech expert's perspective - http://dlvr.it/TDqzVP #privacy #CyberSecurity #netsec #security #ITsecurity #CyberSecurityNews #SecurityNews #video
Rethinking privacy: A tech expert's perspective - Help Net Security
Dr. Micah Altman from MIT discusses protecting and rethinking data privacy, where our current approaches fall short, and how we can improve.
dlvr.it
September 30, 2024 at 12:56 PM
I found this recent article on the neurodiversity of information systems users interesting. We need more efforts of this type -- incrementally accumulating empirical evidence about an neglected area. 10.17705/1jais.00877 http://dlvr.it/TDS15J
Time to Talk About It: Neurodiversity of Information Systems Users in Leisure Settings
dlvr.it
September 19, 2024 at 10:25 PM
In my conversation with David Rothkopf (@djrothkopf) we discuss some challenges of AI and privacy -- starting with some key points from our recent ACM tech policy @USTPC brief. Many thanks to David/ DSR Network for hosting: http://dlvr.it/TD044Z
AI and the Challenge of Data Privacy
With the advent of AI and advanced data collection technology, we’re in uncharted waters of data privacy.
dlvr.it
September 8, 2024 at 10:26 PM
In our new preprint, we formalize core principles for anonymization and use this formalization to prove that common interpretations of GDPR anonymization fail to protect information privacy reliably:

< http://dlvr.it/TCXk9g >
Properties of Effective Information Anonymity Regulations
dlvr.it
August 29, 2024 at 9:43 PM