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See all 320 →Activities & events
| Title & Speakers | Event |
|---|---|
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Christian Rödelsperger
– guest
,
Martin Wilecki
– guest
,
Veeren Chauhan
– host
,
James W. Lightfoot
– guest
How do predatory nematodes avoid cannibalising their own offspring? In this episode, we explore a remarkable study that uncovers a peptide-based self-recognition system in Pristionchus pacificus. This system hinges on a single hypervariable peptide, SELF-1, which allows individuals to distinguish between kin and non-kin—preventing self-killing but enabling predation on rivals. We discuss: The discovery and characterisation of the self-1 gene How a single amino acid change can disrupt recognition The role of hypervariable C-terminal sequences in defining identity CRISPR-Cas9 experiments to map and manipulate self-recognition Why this system may represent a new form of species- and strain-specific recognition in the animal kingdom 📖 Based on the research article: “Small peptide–mediated self-recognition prevents cannibalism in predatory nematodes” James W. Lightfoot, Martin Wilecki, Christian Rödelsperger, et al. Published in Science (2019). 🔗 https://doi.org/10.1126/science.aav9856 🎧 Subscribe to the WoRM Podcast for more on whole-organism behaviour, evolution, and molecular mechanisms of identity. 🔗 www.veerenchauhan.com |
WOrM Podcast: Whole Organism Analytics Podcast |
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Master Your Circle: Leadership Coaching for Thriving and Influencing in a Messy World. With Lynne Snead, Founder and Coach at Talent Evolution Systems
2024-08-21 · 10:00
Lynne Snead
– Founder; Behavioral Analyst; Consultant; Training Specialist; Speaker; Coach
@ Talent Evolution Systems
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text I took a much needed vacation and invited my favorite coach back on the show. Lynne Snead, Principal and Owner of Talent Evolution Systems, discusses how to maintain focus and expand influence, using the three circles model. Leadership is is influence; are you a manager or leader? Would people follow you even if they didn't have to? If the answer is yes, that's leadership. 02:47 Meet Lynne Snead Again03:47 The Circles Model 09:30 The Circle of Personal Control14:05 It’s the How You Say It, Also to Yourself!20:43 Thought Management22:53 Leadership = Influence25:08 A Manager vs a Leader27:05 Mindset & Energy29:59 Stress31:11 Atomic Habits 33:47 Mindmapping36:19 Emotional Intelligence39:38 Read, Study, Learn or Be Left Behind Lynne Snead Linkedin Talent Evolution Systems Katherine Mayne Reading list: Stephen Covey, 7 Habits James Clear, Atomic Habits John A Daly, Advocacy: Championing Ideas and Influencing Others Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
Making Data Simple |
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Bitemporality and the Art of Maintaining Accurate Databases
2023-08-10 · 16:00
Our friends from Juxt are presenting the following webinar: Title: Bitemporality and the Art of Maintaining Accurate Databases Speaker: Jeremy Taylor & James Handerson This is an online event hosted on GoToWebinar — in order to attend it, please register via this link (and not by clicking "attend"): https://attendee.gotowebinar.com/register/2960607012900067930?source=lnd-clojurians-meetup Recently, various industry luminaries — including Kent Beck, Martin Fowler, Ben Stopford, and Kris Jenkins — have been talking about bitemporality. But what does bitemporality really mean for you, your team, and your business? How might it impact your work over the next 12 months? In my upcoming webinar, I will attempt to demystify bitemporality — join me to discover the most common use cases for bitemporal modeling, and learn how it impacts application design and maintenance.
Register here: https://attendee.gotowebinar.com/register/2960607012900067930?source=lnd-clojurians-meetup |
Bitemporality and the Art of Maintaining Accurate Databases
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(Replay) Have you picked your bracket yet? Al Martin and Nancy Hensley discuss the role of Data and AI in Sports.
2022-03-16 · 10:00
Nancy Hensley
– Director of Strategy & Growth
@ IBM Hybrid Cloud
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes 1:37 – Nancy’s bio 3:10 - Are we talking Money Ball? 5:52 - On Base percentage 7:08 – Analyse examples 10:02 – Do you control the data? 11:24 – Out there statistics 14:12 - Can analytics go to far? 17:35 – Real time analysis 18:45 – Covid and sports 21:15 – Your role in sports betting 22:50 – What’s the most fascinating thing you’ve learned? 25:23 – What’s the future? Website - Stats Perform Money Ball Stats Perform - Twitter Bill James – Baseball Abstract The Analyst Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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[Replay] Al and Nancy Hensley discuss Data and AI and its impact on sports
2021-05-19 · 10:00
Nancy Hensley
– Director of Strategy & Growth
@ IBM Hybrid Cloud
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes 1:37 – Nancy’s bio 3:10 - Are we talking Money Ball? 5:52 - On Base percentage 7:08 – Analyse examples 10:02 – Do you control the data? 11:24 – Out there statistics 14:12 - Can analytics go to far? 17:35 – Real time analysis 18:45 – Covid and sports 21:15 – Your role in sports betting 22:50 – What’s the most fascinating thing you’ve learned? 25:23 – What’s the future? Website - Stats Perform Money Ball Stats Perform - Twitter Bill James – Baseball Abstract The Analyst Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Al and Nancy discuss Data and AI and its impact on sports
2020-11-18 · 11:00
Nancy Hensley
– Director of Strategy & Growth
@ IBM Hybrid Cloud
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes 1:37 – Nancy’s bio 3:10 - Are we talking Money Ball? 5:52 - On Base percentage 7:08 – Analyse examples 10:02 – Do you control the data? 11:24 – Out there statistics 14:12 - Can analytics go to far? 17:35 – Real time analysis 18:45 – Covid and sports 21:15 – Your role in sports betting 22:50 – What’s the most fascinating thing you’ve learned? 25:23 – What’s the future? Website - Stats Perform Money Ball Stats Perform - Twitter Bill James – Baseball Abstract The Analyst Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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David J. Berri
– author
,
Martin B. Schmidt
– author
This Element is an excerpt from Stumbling On Wins: Two Economists Expose the Pitfalls on the Road to Victory in Professional Sports (9780132357784) by David J. Berri and Martin B. Schmidt. Available in print and digital formats. Why sports decision-makers are wrong so often — and why they keep making the same mistakes, year after year. When Bill James introduced his findings on the importance of on-base percentage–and the unimportance of steals–decision-makers in baseball didn’t embrace his work. Their initial reaction fully reflects the lessons of behavioral economics: people have trouble accepting information that contradicts their viewpoints. The same story has been seen again and again across the North American professional sports world. |
O'Reilly Data Science Books
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