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As the #GSLEARN Policy-Maker Training comes to a close, participants leave with new knowledge, practical tools and stronger networks to bridge the gap between modelling and policymaking. By fostering collaboration between policymakers and modellers, we can ensure evidence is not only generated but translated into timely, informed decisions that strengthen health systems and improve population health across Africa.

π€ Effective modelling starts with effective partnerships.
In a panel discussion moderated by Dr. John Ojal, #GSLEARN participants explored how policymakers and modelling teams can work together to co-produce evidence that is relevant, timely and actionable.
The discussion highlighted the complementary roles of policymakers and modellers, practical approaches to building trust and collaboration, overcoming common challenges, and preparing institutions to effectively engage with future #GSLEARN modelling fellows.

π How do we build stronger collaborations between policymakers and mathematical modellers?
Today's afternoon session, of the #GSLEARN policy-maker training, facilitated by the NUS team, explored findings from a needs assessment designed to inform the development of a minimum curriculum for policymakers and mathematical modellers.
Effective modelling starts with understanding the decision that needs to be made ensuring modelling evidence is relevant, practical and actionable for public health decision-making.

π Models don't predict the future, they help us make better decisions about it.
Day 3 of the #GSLEARN Policy-Maker Training, kicks off with Dr. John Ojal unpacking how epidemic models work and what makes modelling evidence credible in supporting public health decision-making.
π‘A key takeaway from the session was that models are not reality, they are simplified representations that help us better understand it. Credible modelling requires transparency, collaboration, and openness about assumptions and uncertainty, enabling decision-makers to interpret modelling evidence alongside scientific evidence, economic considerations, and policy priorities.

π Good models begin with good questions.
Day 2 of the #GSLEARN Policy-Maker Training, kicks off with Dr. @guleidfhg guiding participants through the journey from policy questions to modelling questions, highlighting that effective modelling starts with understanding the decision that needs to be made, not just the problem.
Through interactive discussions, participants are exploring how policymakers and modellers can co-produce decision-focused questions that reflect real-world priorities, constraints, and uncertainties, ensuring modelling evidence is relevant, practical and actionable for public health decision-making.

GS Learn is GSKWRβs new online training platform! You can access training courses whenever. Wherever. To get started sign into your MY GS account and click on GS Learn here: https://t.co/lUnWHrKIxl #KYGirlScouts #GSLearn

In this #GSLearn #GameSparks tutorial we look at Retaining Player Details once you match players in your game.
#GameDev #IndieDev
https://t.co/OJY4z7F84n
Cloud Code plays a key role in #GameSparks and in this #GSLearn doc you can see the best practices when using Cloud Code.
#GameDev #IndieDev
https://t.co/XnLvmKjfhY
Head over to #GSLearn for a tutorial briefly outlining the Player Management screens in #GameSparks!
#GameDev #IndieDev
https://t.co/BzjvvhoO4j
You can use #NodeJS with #GameSparks to store your API secret. Learn how in our #GSLearn tutorial - https://t.co/nryKa2zCXX
#GameDev #IndieDev
Get started, find your way or uncover something new in #GSLearn section of our site!
https://t.co/G6VpmeIQpH
Not sure about a #GameSparks feature? Or just want to expand you knowledge of the platform? Head over to #GSLearn!
https://t.co/G6VpmeIQpH
@brainydexter With unity tutorials in that #GSlearn section of the site. To discuss your specific needs I recommend contacting our supoort team 2/2
#GameSparks gives you the ability to access player data in real-time and change it - https://t.co/UzEANBP4B9
#GSLearn #GameDev #IndieDev
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