Episodes
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106: Science on the run
April 20th, 2020 | 50 mins 12 secs
Dan and James discuss whether getting rapid outcomes to address the pandemic is worth the increased risk of mistakes—how can scholars perform research that is both swift and accurate?
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105: Tell it like it is (with Marike Schiffer)
April 6th, 2020 | 57 mins 45 secs
We chat with Marike Schiffer, who is a Senior Editor at Nature Human Behavior, about her journal's push to increase reproducibility in the behavioral sciences. She also shares how her team evaluates manuscripts and some common misunderstandings about scientific publishing.
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104: Now we'll discover which meetings could've been emails
March 16th, 2020 | 1 hr 3 mins
Dan and James discuss the COVID-19 pandemic and how it's impacting academia
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103: Swiping right
March 2nd, 2020 | 1 hr 17 mins
Dan and James discuss rejection in academia and emerging science communication platforms
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102: Master of none
February 17th, 2020 | 1 hr 4 mins
Should research scientists build their knowledge and skillset broadly at the risk of being a master of none? Dan and James discuss this, along with a recent editorial on the use of Twitter in academia.
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101: Punishing research misconduct
February 3rd, 2020 | 59 mins 15 secs
Dan and James cover a new paper which discusses whether research misconduct should be criminalised. If so, where do we draw the line and who should investigate these cases?
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100: Hundredth episode live special (with Daniel Lakens, Amy Orben, and Chris Chambers)
January 27th, 2020 | 1 hr 50 mins
To celebrate our 100th episode, which we video-streamed live, Dan and James were joined by three special guests: Daniel Lakens, Amy Orben, and Chris Chambers.
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99: Science advocacy
January 6th, 2020 | 49 mins 36 secs
Dan and James answer a listener question on science advocacy. Is this an activity that all scientists should do, and if so, how much advocacy work should we be doing?
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98: Episode titles are redundant, at best (with Sophia Crüwell)
December 16th, 2019 | 59 mins 28 secs
We chat with Sophia Crüwell (Meta-Research Innovation Center Berlin) about pre-registration and her recent work introducing pre-registration templates for cognitive modelling research.
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97: Slow science
December 2nd, 2019 | 1 hr 44 secs
Dan and James discuss the concept of "slow science", which has been proposed in order to improve the quality of scientific research and create a more sustainable work environment.
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96: The chaotic state of doctoral research
November 18th, 2019 | 47 mins 49 secs
Dan and James discuss the results of this year's Nature survey of PhD students. Despite a majority of students reporting general satisfaction with their decision to undertake a PhD, many described a sense of uncertainty, harassment in the lab, and gruelling work hours.
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95: All good presentations are alike; each bad presentation is bad in its own way
November 4th, 2019 | 1 hr 3 mins
Dan and James discuss why academia tolerates bad presentations and the strange distrust of polished presentations.
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94: Predicting the replicability of research
October 21st, 2019 | 58 mins 10 secs
Dan and James chat with Fiona Fidler (University of Melbourne), who is leading the repliCATS project, which aims to develop accurate techniques to elicit estimates of the replicability of research.
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93: Double-blind peer review vs. open science
October 7th, 2019 | 54 mins 46 secs
Dan and James answer a listener question on how to navigate open science practices, such as preprints and open code repositories, in light of double-blind reviews.
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92: Chaos in the brickyard
September 16th, 2019 | 1 hr 13 mins
Dan and James discuss the role of Google Scholar in citation patterns and whether we should limit academics to only publishing two papers a year.
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91: Shifting the goalposts in statistics (with Kristin Sainani)
September 2nd, 2019 | 1 hr 3 mins
We chat with Kristin Sainani (Stanford University) about a popular statistical method in sports medicine research (magnitude based inference), which has been banned by some journals, but continues to thrive in some pockets of scholarship. We also discuss the role of statistical inference in the current replication crisis.