🚀 FULLY FUNDED PhD OPPORTUNITY – HEALTH SCIENCES & SYSTEMS THINKING 🚀. 👉 Are you ready to dive into a HIGH-IMPACT PhD with a stipend $$ and a FLEXIBLE WORKING ARRANGEMENT? 👈. 📢 We are looking for a passionate PhD candidate to join a high-performing team at the University of.

📢 Thrilled to share that I’ll be presenting a new framework called the Qualitative Systems Exploration Model (QSEM) at the International System Dynamics Conference this year (#ISDC2025)! 🌍 This 3-phase approach integrates with Group Model Building (GMB) protocols and helps

Out of all system wisdoms this has always taken top spot!.

🚨 Hot off the press 🚨: Evaluating the use of Systems Thinking Methods in healthcare practice. Thanks to Brandon King, Gemma Read, and Paul Salmon alongside QLD Health for a great project! @UniSC @UQHealth 👇.

More information about this opportunity can be found here, AH😀:

🚨 Officially online! PhD Scholarship opportunity at the University of Queensland🚨👉"Using systems science to understand how climate change will impact Australia’s health workforce". Apply 👇. . @UQHealth @SQRuralhealth.

"The prizes are open to staff currently employed at a UDRH and who have been employed for 12 months or more at their current UDRH and are residents in the region where their UDRH operates".

Congratulations 🎉🎉🎉!!! Kudos AH.

A great collaboration. paradigm shifting work in sports science with more to come from the RUNSAFE group --> injuries occur more suddenly than the “gradual” approach described in textbooks top effort, Jesper, Nina, Julie, and Rasmus @AarhusUni_int @UQHealth kudos AH 🙌.

🚨🙌 seeking interest for a funded PhD opportunity at UQ (St Lucia Brisbane) in the area(s) of systems science, healthcare, health systems with great people, please e-mail Dr Adam Hulme | UQ Experts contact details online 🙌🚨.

Fantastic read and totally resonate. May I add. Your compadre should be curious and ask deep scientific, methodological and analytic questions, how, why, what. Challenging questions about mechanics not simply end-goals.

The power of SD models lies in combining the tangible with the intangible, but it comes with the painful process of checking once, twice and seven more times (or so it feels!) AH 😆🧐😎🙌 @SQRuralhealth @UQHealth

a = normal passion.b = effect of self-efficacy on passion.w = weight of fatigue.c = effect of fatigue on passion.

Curious to see what I'm talking about? Here's a snippet of the model area. This little equation tweak made a HUGE difference in my outputs! 📸 #DataScience #Modeling #SystemsThinking

Check equations, parentheses, and the order of operations! Don't just combine effects & apply weights carelessly - always understand what is being scaled and when. Your model's accuracy depends on it. 🛠️.

Why does this matter?🤔.In #systemdynamics models or any system that balances multiple effects, even a tiny misstep in how we combine equations changes the behavior of the model. You might be overestimating the impact of one effect or underestimating another!📊🤯.

Correct: a*((b*w)+(c*(1-w))). Combined first: Sum the weighted effects first and then multiply by the normal. Incorrect: a*(b*w)+(c*(1-w)). This approach misses applying the normal to all components properly (missed parentheses). Result? A slight but critical error in output.

Here's the trick: If you sum weighted effects BEFORE scaling them by normal passion, you'll get different results compared to scaling each effect separately first. Example. two correct ways to calculate indicated passion. (see image below in this thread).

Imagine we have:. Normal passion under IDEAL conditions = 80%.Fatigue effect = 1.0.Self-efficacy effect = 1.5.Weights: 80% for fatigue, 20% for self-efficacy. But HOW we combine these effects and scale the normal passion makes all the difference 👇.

In modeling, the way such variables are combined & scaled is crucial. It's not just about numbers but relationships. E.g., when calculating passion, we're influenced by fatigue (negative) & efficacy (positive). Each effect gets a "weight", & this is where it can go wrong. .