Explore

Rapid Read Rapid Read
AACR Opposes Proposed Federal Grant Rule Changes Impacting Cancer Research Funding

AACR Opposes Proposed Federal Grant Rule Changes Impacting Cancer Research Funding

The American Association for Cancer Research (AACR) is actively opposing a proposed rule by the Office of Management and Budget (OMB) that could significantly alter how federal grants are awarded and managed. The proposed rule, titled 'Regulation for Federal Financial Assistance,' would expand the role of political appointees in grant reviews, reduce the emphasis on merit-based evaluations, and impose new restrictions on federally funded research. The AACR and other organizations have expressed concerns that these changes could undermine the integrity of scientific research funding, particularly affecting cancer research. Despite a short 45-day public comment period, nearly 500,000 comments were submitted, with 95% opposing the proposal. The OMB plans to finalize the rule by October 1, 2026, but it may face legal challenges.
Trendline Trendline
Randomization in Grant Funding Gains Traction to Enhance Fairness and Diversity

Randomization in Grant Funding Gains Traction to Enhance Fairness and Diversity

Randomization in Grant Funding Gains Traction to Enhance Fairness and Diversity
Trendline Trendline
National Science Foundation Highlights Shift in U.S. Research Funding Dynamics

National Science Foundation Highlights Shift in U.S. Research Funding Dynamics

National Science Foundation Highlights Shift in U.S. Research Funding Dynamics
Rapid Read Rapid Read
NASA Leverages AI to Unlock Discoveries in Vast Data Archives

NASA Leverages AI to Unlock Discoveries in Vast Data Archives

NASA is participating in the Genesis Mission, a new White House initiative launched in November 2025, which aims to utilize artificial intelligence (AI) to analyze over 150 petabytes of data accumulated from decades of space missions. This initiative seeks to uncover potential discoveries hidden within NASA's extensive archives, which are too vast to be examined manually. The Genesis Mission is a government-wide effort involving multiple federal agencies, including the Department of Energy and the National Institutes of Health, with a focus on leveraging AI to connect and analyze data across different fields and missions.
Rapid Read Rapid Read
NIH Funding Trends for FY 2026 Highlight Ongoing Data Updates

NIH Funding Trends for FY 2026 Highlight Ongoing Data Updates

The AAMC is actively monitoring the developments in National Institutes of Health (NIH) extramural funding, providing regular updates through NIH RePORTER. The data presented covers the federal fiscal year, beginning October 1, and includes information up to August 8 for FY 2026. The figures and tables focus exclusively on NIH extramural funding, excluding subprojects. Notably, there is a lag in some grants appearing on RePORTER due to delays between receiving a notice of award and its documentation. The data is continuously updated by NIH, reflecting the most current information available at the time of download.
Rapid Read Rapid Read
Lindau Nobel Laureate Meeting Highlights Peace Efforts and Scientific Responsibility

Lindau Nobel Laureate Meeting Highlights Peace Efforts and Scientific Responsibility

The 75th Lindau Nobel Laureate Meeting brought together scientists and peace advocates to discuss the dual-use nature of scientific research and its implications for global peace. The event featured notable figures such as Ales Bjaljatzki, a Belarusian human rights activist, and David Beasley, former director of the World Food Programme. Discussions centered on the ethical responsibilities of scientists, particularly in the context of nuclear weapons and artificial intelligence. The meeting emphasized the importance of dialogue between scientists and policymakers to ensure that scientific advancements contribute positively to society.
Trendline Trendline
MIT Researchers Explore Enhancements in Predicting Human Preferences Using Random Utility Models

MIT Researchers Explore Enhancements in Predicting Human Preferences Using Random Utility Models

MIT Researchers Explore Enhancements in Predicting Human Preferences Using Random Utility Models
Trendline Trendline
MIT Researchers Explore Enhanced Random Utility Models for Predicting Preferences

MIT Researchers Explore Enhanced Random Utility Models for Predicting Preferences

MIT Researchers Explore Enhanced Random Utility Models for Predicting Preferences
Rapid Read Rapid Read
Yale Opens Applications for Global Health Emerging Scholars Program

Yale Opens Applications for Global Health Emerging Scholars Program

Yale University has announced the opening of applications for the 2027-2028 Global Health Emerging Scholars Program, supported by the U.S. National Institutes of Health. This program offers a 12-month intensive research training opportunity for emerging researchers and health professionals. Participants will engage in full-time, mentored research across 15 countries, focusing on major population-health challenges. The program emphasizes a multidisciplinary approach, addressing health issues related to urbanization, poverty, and social inequalities. Applications are due by October 1, 2026, and the program will run from July 2027 to June 2028.
Rapid Read Rapid Read
GitHub Repository Showcases AI Tools Revolutionizing Scientific Research

GitHub Repository Showcases AI Tools Revolutionizing Scientific Research

A GitHub repository titled 'Awesome AI for Science' is curating a comprehensive list of AI tools, libraries, and frameworks that are transforming scientific research across various disciplines. The repository includes resources for literature management, data analysis, visualization, and research workbench plugins. It highlights AI's role in accelerating discoveries in fields such as drug discovery, climate modeling, and astrophysics. The collection aims to assist researchers in leveraging AI to enhance their work, offering tools for data labeling, scientific writing, and autonomous research systems.
Trendline Trendline
Exploring the Evolution of Textual Criticism in the Digital Age

Exploring the Evolution of Textual Criticism in the Digital Age

Exploring the Evolution of Textual Criticism in the Digital Age
Rapid Read Rapid Read
AI-Based Study Reconstructs Evolution of Ancient Writing Systems

AI-Based Study Reconstructs Evolution of Ancient Writing Systems

A new study in heritage science has introduced a computational method for reconstructing the evolution of historical writing systems. This approach, known as Deep Feature Phylogenetics, analyzes patterns in surviving inscriptions without relying on predefined models of symbol changes over time. The study treats writing systems as structured 'pattern systems' composed of symbols, rules, and visual conventions. By examining inscriptions as 'graph sequences,' the method reconstructs relationships among them, accounting for the varying amounts of information preserved in different inscriptions. The research analyzed 55 examples from four Rovash script systems, revealing coherent groupings and suggesting that traditional classifications may not fully capture historical relationships. The study highlights the potential of computational modeling and artificial intelligence to complement traditional palaeography by uncovering hidden structural relationships and testing established classifications.