Over the last 50 years, we argue that incentives for academic scientists have become increasingly perverse in terms of competition for research funding, development of quantitative metrics to measure performance, and a changing business model for higher education itself. Furthermore, decreased discretionary funding at the federal and state level is creating a hypercompetitive environment between government agencies (e.g., EPA, NIH, CDC), for scientists in these agencies, and for academics seeking funding from all sources—the combination of perverse incentives and decreased funding increases pressures that can lead to unethical behavior. If a critical mass of scientists become untrustworthy, a tipping point is possible in which the scientific enterprise itself becomes inherently corrupt and public trust is lost, risking a new dark age with devastating consequences to humanity. Academia and federal agencies should better support science as a public good, and incentivize altruistic and ethical outcomes, while de-emphasizing output.

Conversations host Harry Kreisler welcomes Robert A. Scalapino, the Robson Research Professor of Government Emeritus and founding Director of the Institute of East Asian Studies at U.C Berkeley. Professor Scalapino discusses Berkeley's evolution as a leading center for Asian Studies, analyzes the synergy between academic research and foreign policy, and comments on the transformation of America's relationship with Asia which he has witnessed over the course of his six decade career. (55 minutes)

This open textbook is created to accompany the course ENGL124 - Research and Writing in the University at Bay Path University.

This lesson plan was created by Stefanie Green as part of the 2020 NDE ELA OER Project. This Research Kick-Off lesson plan is designed for senior-level students and would most effectively be taught in collaboration between an English teacher and a school librarian. The lesson will take approximately 80 minutes. View the Google Slides presentation here: https://tinyurl.com/y5nvtbfu

Witnessing the ongoing “credibility revolutions” in other disciplines, political science should also engage in meta-scientific introspection. Theoretically, this commentary describes why scientists in academia’s current incentive system work against their self-interest if they prioritize research credibility. Empirically, a comprehensive review of meta-scientific research with a focus on quantitative political science demonstrates that threats to the credibility of political science findings are systematic and real. Yet, the review also shows the discipline’s recent progress toward more credible research. The commentary proposes specific institutional changes to better align individual researcher rationality with the collective good of verifiable, robust, and valid scientific results.

Writing Commons aspires to be a community for writers, a creative learning space for students in courses that require college-level writing, a creative, interactive space for teachers to share resources and pedagogy. Our primary goal is to provide the resources and community students need to improve their writing, particularly students enrolled in courses that require college-level writing. As mentioned in 'About Us', we believe learning materials should be free for all students and teachers‰ part of the cultural commons. Hence, we provide free access to an award-winning, college textbook that was published by a major publisher and awarded the Distinguished Book Award by Computers and Composition: an International Journal.

The h-index (sometimes called the Hirsch index or Hirsch number) is one of the several research indices which is used to measure the productivity and impact of of a researcher/ research group/ institution. It’s an index which increases on the basis of citations and number of papers continuously with the passage of time. It is the major benchmark used by the employers for selection/recruitment and/ or assessment of Researchers.
This e-module will let you know all about the h index: What, How, Who, why......about h index will be answered here. In the very next video we will cover how to identify h index of a researcher in various platforms.
POWER POINT SLIDES OF THIS VIDEO are AVAILABLE ON SLIDESHARE: https://www.slideshare.net/semalty1/h-index-benchmark-of-productivity-and-impact-of-researcher
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