Research

A Behavioral Scientist’s Take on the Dangers of Self-Censorship in Science
Interview
February 14, 2024

A Behavioral Scientist’s Take on the Dangers of Self-Censorship in Science

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Using Forensic Anthropology to Identify the Unknown Dead
Infrastructure
January 29, 2024

Using Forensic Anthropology to Identify the Unknown Dead

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Connecting Legislators and Researchers, Leads to Policies Based on Scientific Evidence
Impact
January 25, 2024

Connecting Legislators and Researchers, Leads to Policies Based on Scientific Evidence

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The Risks Of Using Research-Based Evidence In Policymaking
Research
December 6, 2023

The Risks Of Using Research-Based Evidence In Policymaking

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Our Academic-Industry ‘Research Sprints’ Can Solve Problems in 30 Days

Our Academic-Industry ‘Research Sprints’ Can Solve Problems in 30 Days

Inspired by ‘design sprints’ a Google where projects could create a prototype in five days, the authors started doing ‘research sprints’ in 2015.

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What You Should Know About Megaprojects and Why: An Overview

What You Should Know About Megaprojects and Why: An Overview

This article by Bent Flyvbjerg examines the misconceptions and strategic misrepresentations that routinely result in the implementation of projects for which there is inadequate justification, absorbing funds that could have been better spent elsewhere.

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Surveys Provide Insight Into Three Factors That Encourage Open Data and Science

Surveys Provide Insight Into Three Factors That Encourage Open Data and Science

Over a 10-year period Carol Tenopir of DataONE and her team conducted a global survey of scientists, managers and government workers involved in broad environmental science activities about their willingness to share data and their opinion of the resources available to do so (Tenopir et al., 2011, 2015, 2018, 2020). Comparing the responses over that time shows a general increase in the willingness to share data (and thus engage in Open Science).

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Maintaining Anonymity In Double-Blind Peer Review During The Age of Artificial Intelligence

Maintaining Anonymity In Double-Blind Peer Review During The Age of Artificial Intelligence

The double-blind review process, adopted by many publishers and funding agencies, plays a vital role in maintaining fairness and unbiasedness by concealing the identities of authors and reviewers. However, in the era of artificial intelligence (AI) and big data, a pressing question arises: can an author’s identity be deduced even from an anonymized paper (in cases where the authors do not advertise their submitted article on social media)?

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Designing Research For Impact

Designing Research For Impact

Recent experiences have not been very positive. The vast majority of proposals seem to conflate impact with research dissemination (a heroic leap of faith – changing the world one seminar at a time), or to outsource impact to partners such as NGOs and thinktanks.

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Involving patients – or abandoning them?

Involving patients – or abandoning them?

The Covid-19 pandemic seems to be subsiding into a low-level endemic respiratory infection – although the associated pandemics of fear and action […]

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Hype Terms In Research: Words Exaggerating Results Undermine Findings

Hype Terms In Research: Words Exaggerating Results Undermine Findings

The claim that academics hype their research is not news. The use of subjective or emotive words that glamorize, publicize, embellish or exaggerate results and promote the merits of studies has been noted for some time and has drawn criticism from researchers themselves. Some argue hyping practices have reached a level where objectivity has been replaced by sensationalism and manufactured excitement. By exaggerating the importance of findings, writers are seen to undermine the impartiality of science, fuel skepticism and alienate readers.

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Unskilled But Aware: Rethinking The Dunning-Kruger Effect

Unskilled But Aware: Rethinking The Dunning-Kruger Effect

As a math professor who teaches students to use data to make informed decisions, I am familiar with common mistakes people make when dealing with numbers. The Dunning-Kruger effect is the idea that the least skilled people overestimate their abilities more than anyone else. This sounds convincing on the surface and makes for excellent comedy. But in a recent paper, my colleagues and I suggest that the mathematical approach used to show this effect may be incorrect.

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