reproducibility

What to listen for:

Our hosts Robin Greubel and Stacy Barnett dive headfirst into the high-stakes world of canine explosive detection with an esteemed panel of experts, Dr. Lauryn DeGreeff, Dr. Michele Maughan, and Jenna Gadberry. As they dissect the complexities of non-detonable canine training aids, you'll get a rare behind-the-scenes look at the intricate dance of odor chemistry and the safety measures paramount in training with both traditional and peroxide-based explosives. Safety for furry detectives and their handlers leads the charge in the discussion, as they navigate the laboratory and field labyrinth to analyze the effectiveness of different training aids.

Ever pondered how a detection dog's nose works like a sophisticated bio-sensor, dissecting the world's odors? Our hosts and guests tackle the unfortunate issue of variability in training aids. With insights from Dr. Nathan Hall, they unravel the scent detection conundrum, especially when dealing with volatile compounds. Drawing from real-world applications and scientific scrutiny, this episode uncovers the essential need for multifaceted exposure and stringent training to enhance the fidelity of our four-legged bomb detectors.

Key Topics:

• Explosives Dogs and Training Aids (0:02:04)
• Working with Green (naive to odor) Dogs (0:07:40)
• Dog Training Aids, Inconsistency, and Quality Control (0:12:38)
• Explosive TTP’s (0:16:59)
• Training Aids for Explosive Detection Dogs (0:19:03)
• Training Aids and Quality Control (0:26:51)
• Canine Detection Capabilities and Training Aids (0:33:40)
• Risk Assessment around Canine Explosives Work (0:38:44)
• Explosives and Aids Aging (0:49:32)
• Canine Scent Detection and Research (0:58:22)

Resources:

• Canines As The Original BioSensor & Odor/Scent Chemistry with Dr. Lauryn DeGreeff
• Evaluation of non-detonable canine training aids for explosives by headspace analysis and canine testing
• OSAC: Organization of Scientific Area Committees For Forensic Science
• New Scientific Study About Bomb Dog Training (Podcast Episode)

We want to hear from you:

• Check out the K9 Detection Collaborative FB page and comment on the episode post!
• K9Sensus Foundation can be found on Facebook and Instagram. We have a Trainer’s Group on Facebook!
• Scentsabilities Nosework is also on Facebook. Here is a Facebook group you should join!
• Crystal Wing K9 Coach can be found here at CB K9 and here at Evolution Working Dog Club. Also, check out her Functional Obedience Class here.
• You can follow us for notifications of upcoming episodes, find us at k9detectioncollaborative.com

This episode features Nikesh Gosalia in captivating conversation with Dr. Leslie McIntosh, Vice President of Research Integrity at Digital Science and Founder of Ripeta, a software and services company with a mission to enhance the transparency, reproducibility, and quality of scientific research. Together, they delve into the dynamic intersection of artificial intelligence and research integrity.

Dr. McIntosh discusses how as AI evolves, distinguishing genuine discoveries from synthetic data becomes increasingly challenging. She urges us to contemplate how AI is transforming the essence of research and our ability to uphold its honesty. Dr. McIntosh also shares her vision for the future, highlighting the significance of recognizing researchers who epitomize meticulous and trustworthy science.

Talking about her initiative, Dimensions Research Integrity, she underscores the power of leveraging tools for the common good while remaining vigilant against potential biases. Through engaging anecdotes and expert insights, Dr. McIntosh invites us to reflect on how we can ensure the ongoing transparency, trustworthiness, and authenticity of scientific research amid the AI revolution.

Tune in to gain a deeper understanding of the nuanced interplay between AI, research ethics, and the future of scholarly knowledge. 


Nikesh Gosalia

https://twitter.com/NikeshGo

https://www.linkedin.com/in/nikeshgosalia/

Leslie McIntosh

https://twitter.com/mcintold

https://www.linkedin.com/in/leslie-mcintosh/



Show notes

Thank you for listening! Here are links to some of the things that Leslie McIntosh and Nikesh discussed in the podcast. 

We would love to hear from you, so feel free to drop a line at insightsxchange@cactusglobal.com

Repata | https://ripeta.com/
Elisabeth Bik | https://en.wikipedia.org/wiki/Elisabeth_Bik 
World Conference on Research Integrity | https://www.wcrif.org/ 
Washington University of Medicine | https://medicine.wustl.edu/ 
Retraction Watch | https://retractionwatch.com/ 
Frontiers | https://www.frontiersin.org/ 
Research Data Alliance | https://www.rd-alliance.org/ 
Harvard Institute for Policy (Shorenstein Center) | https://shorensteincenter.org/ 
ORCiD | https://orcid.org/ 
Archive | https://arxiv.org/ 
Digital Science | https://www.digital-science.com/ 
Dimensions | https://www.dimensions.ai/  

Insights Xchange is a fortnightly podcast brought to you by Cactus Communications (CACTUS). Follow us:

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• Twitter @Cactusglobal
• YouTube @CactusCommunications

This episode features an interview with Daniel Lenton, Founder and CEO of Ivy, where the team is on a mission to unify the fragmented AI stack. Prior to Ivy, Daniel was a Robotics Research Engineer at Dyson and a Deep Learning Research Scientist for Amazon Prime Air. During his PhD, Daniel explored the intersection between learning-based geometric representations, ego-centric perception, spatial memory, and visuomotor control for robotics.

In this episode, Sam and Daniel discuss the inspiration behind Ivy, open source reproducibility, and democratizing AI.

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"There's too much amazing stuff going on, from too many different parties. We just want to be the objective source of truth to show you the data and show you where your model will be doing best, and continue to do this as a service or something like this. This is high-level, some of the areas we see and going into, we really want to be a useful tool for anybody that wants to just kind of understand this fragmented complex space quickly and intuitively, and we are trying to be the tool that does that." – Daniel Lenton

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Episode Timestamps:

(01:00): What open source data means to Daniel

(05:37): The challenges of building Ivy

(15:37): The future of Ivy

(25:19): Who should know about Ivy

(28:46): Daniel’s advice for the audience

(32:00): Backstage takeaways with executive producer, Audra Montenegro

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Links:

LinkedIn - Connect with Daniel

Learn more about Ivy

Greg and Patrick discuss Patrick's potentially horrible idea for post-publication review, in which a journal is created for the sole purpose of reviewing the soundness of the quantitative methods used in papers that have already been published in flagship journals. Hair-brained scheme, or sheer genius? You be the judge. Along the way they also mention driving without headlights, homemade explosives, modified wheelchairs, the IJCC, guacamole at Margaret's Cantina, dishwashers and JetDry, the IAD, blind pigs and acorns, the 15 commandments, and Jamaican bobsleds. 

Stay in contact with Quantitude!

• Twitter: @quantitudepod
• Web page: quantitudepod.org
• Merch: redbubble.com

Today Patrick & Greg step off-camera and pull in Dr. Samantha Anderson who is a quantitative psychologist at Arizona State University and is an expert in all things related to the so-called “replication crisis.” They are uncharacteristically quiet as she talks about the past, present, and future of replication in the social sciences. Along the way they also discuss: Ask Sammy, bioluminescence, cheat day, podcast pre-registration, music that makes you younger, Defcon 5, or maybe 1, or 3, mother-in-laws, air quotes, and the queen of the world. 

Stay in contact with Quantitude!

• Twitter: @quantitudepod
• Web page: quantitudepod.org
• Merch: redbubble.com

In this episode, we talk to Leif Nelson, professor at Haas School of Business at UC Berkeley. We talk about open science, the False Positive Psychology paper and its aftermath, current Data Colada replication efforts, and Paul's undying fascination with Leif.


False Positive Psychology: https://journals.sagepub.com/doi/full/10.1177/0956797611417632
Data Colada (blog by Leif, Uri Simonsohn, and Joe Simmons): http://datacolada.org/
As Predicted: https://aspredicted.org/