A screenshot shot of a dril tweet that says βturning a big dial that says peer reviewers pet theory on it and constantly looking back at the peer reviewer for approval like a contestant on the price is right
04.08.2025 09:09 β π 17 π 3 π¬ 0 π 0
plot of the what i just said
yeah i fit a beta regression model with a 3-df spline on age and by-child random intercepts and computed marginal means by simulating and averaging 1000 children on each posterior draw... just to get the same thing as a LOESS smoooooth of the observations
24.07.2025 21:14 β π 32 π 2 π¬ 1 π 1
Whether you're in sports science, physiology, or rehabilitation, this one-day workshop blends theory and practice to help you start measuring with confidence.
Limited seats - first come, first served!
π Register here: www.artinis.com/introduction...
11.07.2025 07:02 β π 2 π 1 π¬ 1 π 0
News from our lab: 4 weeks of altitude decreases skeletal muscle mitochondrial cristae density in humans (but mitochondrial respiration increased). Great work by Camilla Schytz, Carsten Lundby, and colleagues. doi.org/10.1152/japp...
04.07.2025 19:38 β π 17 π 5 π¬ 0 π 0
Displayed are the centile curves at different percentiles for relative and absolute power at the individual lactate threshold.
π New Publication!
We analyzed 5000+ cycle ergometer tests (ages 14-64) to create reference standards of lactate thresholds for health studies and clinical practice.
Full text: doi.org/10.1080/0264...
#Exercise #SportsScience π§ͺ
23.06.2025 05:38 β π 14 π 3 π¬ 1 π 1
LinkedIn
This link will take you to a page thatβs not on LinkedIn
I'm pleased to announce the publication of two important papers in Sports Medicine on the first every large replication project in sport and exercise science. Read the full papers:
lnkd.in/gH3NCqK5 Β
lnkd.in/gE7izySW
#SportsScience #EvidenceBasedPractice #Research #OpenScience #Replication
16.06.2025 15:21 β π 10 π 6 π¬ 0 π 1
CarnivΓ le?
14.06.2025 07:01 β π 2 π 0 π¬ 0 π 0
UNSW School of BABS Special Seminar
Peer review meltdown
Carl T. Bergstrom, University of Washington
Host/Chair Prof Mark Tanaka
Monday 23 June 2025
1pm-2pm
Mathews Theatre C
Youβve seen it yourself. Peer review is coming apart at the seams. Editors face a mighty struggle to recruit reviewers. Researchers are overwhelmed with review requests. Authors wait months or longer for low-quality reviews of their work. In this talk, I present a series of simple mathematical models to illustrate what is happening and why. (1) An elite journal relies on peer review to identify the top papers; knowing the quality of the peer review process, authors self-screen and send only their best work to this journal. But when the reward from publishing in the elite journal increases, submission volume increases. (2) When submission volume increases, review quality drops as the most qualified reviews are no longer available β but we prove that when review quality drops, submission volume necessarily increases as more authors try to sneak in undeservedly. This feedback process swamps the journals with submissions and erodes the quality of review. (3) We next consider what happens as elite journals proliferate and show that, paradoxically, as the number of elite journals increases, researchers self-screen more assiduously, but the review load continues to increase. To illustrate the consequences, we consider welfare measures for authors, reviewers, and readers. (4) Finally, we explore the way in which aggressive desk rejection policies can partially check this peer review meltdown. ο»Ώο»Ώ
Australian friends!
I'm going to be visiting Sydney in just over a week. I'll be at UNSW on June 23-25th and Macquarie on June 26-27th.
I'd love to catch up with people in person, and also will be giving (at least) two talks at UNSW.
The first is science-of-science modeling talk, on June 23:
13.06.2025 04:47 β π 127 π 25 π¬ 10 π 1
@jamesheathers.bsky.social hiring on your new venture?
07.06.2025 08:33 β π 2 π 0 π¬ 0 π 0
Understanding Basis Spline (B-spline) By Working Through Cox-deBoor Algorithm | Everyday Is A School Day
I finally understood B-splines by working through the Cox-deBoor algorithm step-by-step, discovering they're just weighted combinations of basis functions that make non-linear regression linear. What ...
I finally understood B-splines by working through the Cox-deBoor algorithm step-by-step, discovering theyβre just weighted combo of basis functions that make non-linear regression linear. What surprised me is going through Bayesian statistics helped me understand the engine behind the model! #rstats
04.06.2025 00:44 β π 57 π 9 π¬ 3 π 3
Given that generative AI is pulling from the ~same subtrate of information and is being highly used by students for assessment. How many years of student submissions of a given assessment will it take before it flags for plagiarism? Has this been examined?
30.05.2025 15:04 β π 2 π 0 π¬ 0 π 0
Fitting a generalized mixed model with a gamma distribution log link and random slopes to reaction time data to arrive at precisely the same point estimate as the authors did by simply averaging and conducting a t-test:
28.05.2025 17:22 β π 294 π 34 π¬ 19 π 6
New paper out in Scand J Med Sci Sports!
β¨We tested the reliability of running economy (RE) and other physiological parameters during 90 min of running.β¨β¨β‘οΈ Running economy is highly reliable in a fatigued state, a ππΌ implication for testing durabilityβ¨
ππ onlinelibrary.wiley.com/doi/10.1111/...
π§΅1/8
27.05.2025 12:40 β π 8 π 6 π¬ 1 π 0
its amazing how chatgpt knows everything about subjects I know nothing about, but is wrong like 40% of the time in things im an expert on. not going to think about this any further
08.03.2025 00:13 β π 12420 π 3113 π¬ 88 π 106
New Editorial: βTacklingβ safety through a systems thinking approach: building safety culture within sport @BJSM_BMJ bjsm.bmj.com/content/59/1... @mitchnaughtonphd.bsky.social ππ¬
22.05.2025 19:11 β π 3 π 1 π¬ 0 π 0
Yup. I continue to say that AI is for those who fetishize THE IDEA and dismiss THE WORK. It's for those people who come up to writers and say, "I got a great idea for a book, I'll give it to you, you write it, and we'll split the profits 50/50," as if the idea is the hardest and most important part.
21.05.2025 14:24 β π 2781 π 747 π¬ 74 π 68
The old motte-and-bailey technique. Sure, we put sensational claims in the title and abstract, but look, see here on page 14 in the discussion we said the caveat thing... So, we're actually rigorous af.
21.05.2025 15:36 β π 20 π 4 π¬ 2 π 0
Our new durability paper is out in SJMSS!
We tested how endurance performance determinants change after heavy-intensity running (90 and 120 min) in well-trained marathoners.
πBelow details of what weβve found.
π Open-Access
π onlinelibrary.wiley.com/doi/10.1111/...
π§΅1/14
19.05.2025 09:15 β π 8 π 9 π¬ 1 π 0
The quote is such a cleareyed distillation of all the issues with using AI in writing and learning. Itβs going straight into my courses when discussing issues with AI.
05.05.2025 19:54 β π 1 π 0 π¬ 0 π 0
Iβm sorry but if your students use AI to write papers and you use AI to grade them zero school is happening. You are running together on a hamster wheel
15.04.2025 00:15 β π 13854 π 3942 π¬ 180 π 139
this continues to be the most useful metaphor Iβve seen
05.05.2025 16:29 β π 509 π 146 π¬ 2 π 0
Our latest review is out now in @jphysiol.bsky.social
The repair capacity spectrum of human skeletal muscle injury from sports to surgical trauma settings
Great team effort π @grithhojfeldt.bsky.social, Christian Hoegsbjerg, Arvind von Keudell
@ismcopenhagen.bsky.social
doi.org/10.1113/JP28...
05.05.2025 10:06 β π 44 π 19 π¬ 0 π 1
If you're a grad student or an undergrad interested in research I need to you listen to me very carefully.
You cannot learn to write good research papers if you do not read good research papers.
Stop asking LLMs to summarize papers for you.
03.05.2025 20:25 β π 2151 π 581 π¬ 24 π 68
Integrative Field-Based Health and Performance Research: A Narrative Review on Experimental Methods and Logistics to Conduct Competition and Training Camp Studies in Athletes - Sports Medicine
Field-based sport research involves studies that collect data from athletes and/or teams during competition and/or their daily training environments. Over the last decade, sport-specific field-based research projects have significantly increased in number and complexity, partially owing to the further development of more portable measurement equipment (e.g., indirect calorimetry, desktop blood/gas analyzers, portable laboratories, etc.) and/or wearable or consumable technologies (e.g., smart watches, sensors, core temp pills, etc.). However, given these rapid advances and novelty, challenges remain in the validity and applicability of these devices. Unfortunately, there are no global ethical or best-practice standards for the use of portable devices and/or wearables in sport; however, this review will outline various opportunities and challenges. Many decision trade-offs are required when designing field-based research studies to balance gold-standard scientific rigor and strict research control with highly applied, but less-controlled, βreal-worldβ conditions. To our knowledge, there are no narrative reviews that take a wholistic view of the logistical and methodological considerations of field-based research in athletes. Accordingly, this review takes a multi-disciplinary methodological approach (physiological, nutritional/energetic, biomechanical, musculoskeletal, cognitive, and psychosocial factors), along with the logistical considerations involved in project planning, research design, and ethics of field-based research with elite athletes and/or teams. We also provide practical guidance for characterizing the extreme demands of elite training and competition to support research that ultimately catalyzes improved understanding of the limits of human capacity. We hope this review can serve as a practical guide for researchers undertaking elite athlete field-based research.
Excited to see this one published.
βIntegrative Field-Based Health and Performance Researchβ dives into the challenges and best practices of doing high-quality science in real-world sport. Grateful to work with an amazing group of authors on this!
link.springer.com/article/10.1...
29.04.2025 17:54 β π 7 π 3 π¬ 0 π 0
Temperature is a premier scientific journal publishing on interactions between living matter and temperature
Ranked by SNIP in the top 5% of Physiology journals
Chief Editor: A Romanovsky
Social Media Editors: A Bach, K Hutchins, J McCahon & F OβConnor
PhD student Sports & AI | β¨
Tech department at The Norwegian Olympic Center π·
Lecturer (Exercise Science) | School of Allied Health, Sport and Social Work | Griffith University
Sports scientist, The Science of Sport Podcast. Performance and sports science insights
Head, School of Biological Sciences, Monash University. Physiology | life history | ecology | evolution | higher education
Writer, Teacher | helping people write and be heard | Founder, Fasano Academy, educating the whole human being
Research centre at the University of the Sunshine Coast, Australia. Our inter-disciplinary research combines Human Factors and Systems Science. We address societal challenges to enhance safety, health, wellbeing & overall system performance.
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Director: @jacobkeech.bsky.social
stats consultant and PhD student in Epidemiology & Biostatistics (multiple imputation, causal inference, clinical trials) @ University of Melbourne. always graph your data. also runs, bikes, hikes, etc. he/him #BiInSci π³οΈβπ
https://cameronpatrick.com/
Professor in Exercise Physiology
Work: https://tinyurl.com/4z884z2p
https://scholar.google.com/citations?hl=en&user=sLZykm8AAAAJ
PhD Candidate Sleep, Nutrition and Recovery in Elite Athletes
Website ππ» https://lorcanmason.substack.com/?utm_medium=reader2
The sports data API for developers and data scientists.
https://sweatstack.no
diabetes & exercise, strength training
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MetaROR is a community initiative led jointly by RoRI and AIMOS. It provides a platform that leverages the publishβreview-curate model to improve the dissemination and evaluation of metaresearch.
Data analyst at The Royal Ballet School
Sports science | Data analysis | Evidence synthesis
Lecturer (Clinical Exercise Physiology) University of Newcastle | Research Fellow @treatabletraits CRE | π«-Breathlessness-Exercise physiology Hayley.Lewthwaite@newcastle.edu.au