Developmental evaluation is not about passing judgment on whether something “works.” Rather, it seeks to understand new models as they are built, observing intended and unintended consequences, and using rapid feedback loops and iterative data to learn and improve over time.
Developmental evaluation is one form of evaluation. It is best suited to the early stages of an innovation, and can cycle into more traditional formative and summative approaches to evaluation over time.
https://lnkd.in/dXMmVZQ9#evaluation#learning#socialimpact#socialchange
Great intro to Sal Khan new book Brave New Words - To harness technology’s potential, we must rethink education—roles, tools, and workforce readiness. We’re at a pivotal turning point. 🎓🔍 #EducationRevolution#FutureOfWork#GenerativeAi
Experience is not the best teacher.
Insights through reflection is the best teacher.
Insights heightens awareness for effective decision-making.
#insights#dataanalytics#genai#llm
I just re-watched the founder video that the Nested Knowledge, Inc. team made over two years ago, explaining the vision we had when we set out to create our AI-enhanced #SLR platform.
It's amazing to see how much our tools have improved but how little we have changed in our vision. That's what entrepreneurship and scientific research are about-- persistence in finding answers and filling unmet needs: https://lnkd.in/g8bP4f4w
CEng FBCS Founder Obatec: Consultant - Digital Transformation, BIM, Engineering and Technology Assessor, MIA Conversation with ...(Podcast - @STEM.Positive.Disruptor)
Transforming Learning
Imagine the trauma of learning at school because you are Neurodivergent, (your thought patterns, behaviours, or learning styles fall outside of what is considered "normal," or neurotypical of humans).
Here comes, Guy Huntington a veteran identity and learning architect who has created a new learning architecture to tackle this and much more besides
This is a four-part series on “Transforming Learning”
Part One: The Learning Vision
Please check outhttps://lnkd.in/em_s7T9r - brief summary on Transforming Learning that will be covered in this four part series
This is another STEM Positive Disruptor: MIA conversation, showcasing special guest, Guy Huntington, a Human and Entity Identity & Learning Visionary expert.
For the past eight years, Guy has been thinking, writing, and searching for new pieces with which to rethink both human and AI System/Bot legal identities. Guy has used this to create a new learning architecture. All built on privacy by design.
This conversation requires you to have an open mind!
Our conversation is only a taster to the 8 years investigative work Guy Huntington has done, so for more detailed information, please see links. Guy has well over 100 articles available via LinkedIn https://lnkd.in/ejBnjVSw, but most importantly contact Guy: [email protected]
Please listen to our full conversation, https://lnkd.in/euQYe7Bg
We are also on Spotify and other social media platforms
If you do like the contents that we are producing, please support us @STEM.Positive.Disruptor by Like, Comment, share with your network and subscribe too, this is appreciated, so we can spread the word and bring positive change to our STEM world.
Thanks again for all your support, very much appreciated
This platform is to Educate, Raise awareness, Demystify and Change Perception about STEM (Science, Technology, Engineering and Mathematics) and make it more accessible to the public.
Show the diversity of people and roles within STEM and we want our industry to be more inclusive and accessible.
#learningarchitecture, #STEM, #Education#Legalidentity, #AIGuy Huntington
One common challenge that many junior data scientists face is the rush to start building ML or NLP models right after a client call. 📞 While enthusiasm is great, this often leads to the realization later that the core business problem wasn't fully understood. This scenario is not only frustrating but also counterproductive.
𝑯𝒆𝒓𝒆 𝒂𝒓𝒆 𝒂 𝒇𝒆𝒘 𝒕𝒊𝒑𝒔 𝒕𝒐 𝒏𝒂𝒗𝒊𝒈𝒂𝒕𝒆 𝒕𝒉𝒊𝒔 𝒄𝒓𝒊𝒕𝒊𝒄𝒂𝒍 𝒑𝒉𝒂𝒔𝒆 𝒆𝒇𝒇𝒆𝒄𝒕𝒊𝒗𝒆𝒍𝒚:
✅𝐀𝐬𝐤 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐁𝐨𝐥𝐝𝐥𝐲❓: It's essential to overcome the fear of appearing inexperienced. Asking questions is a sign of engagement and a desire to fully understand the problem. Remember, clarity leads to better solutions.
✅𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐅𝐨𝐥𝐥𝐨𝐰-𝐮𝐩 𝐒𝐞𝐬𝐬𝐢𝐨𝐧𝐬 📅: Don’t hesitate to ask for additional meetings if needed. It’s better to invest time upfront to grasp the business problem than to redo work later. Clients appreciate thoroughness and commitment to solving their problems accurately.
✅𝐀𝐜𝐭𝐢𝐯𝐞 𝐋𝐢𝐬𝐭𝐞𝐧𝐢𝐧𝐠 👂: Focus on listening more during the initial call. Take detailed notes and summarize your understanding to the client to ensure you’re on the right track. This helps in aligning your perspective with the client's needs.
✅𝐁𝐮𝐢𝐥𝐝 𝐚 𝐂𝐥𝐞𝐚𝐫 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 📝: Before diving into model building, create a detailed problem statement. Outline the objectives, constraints, and expected outcomes. Share this with the client for validation.
✅𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐌𝐞𝐧𝐭𝐨𝐫𝐬 𝐚𝐧𝐝 𝐏𝐞𝐞𝐫𝐬 👥: Don’t shy away from seeking guidance from more experienced colleagues. Their insights can help bridge gaps in understanding and provide new perspectives.
✅𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 📚: Regularly update your knowledge about the industry and domain you’re working in. The more you understand the business context, the better you can tailor your solutions.
Remember, the goal is not just to build a model but to solve a business problem effectively. Taking the time to understand the problem deeply will save time and resources in the long run and lead to more impactful solutions.
Do you want more guidance, please connect with me https://lnkd.in/gnEdfBX8#DataScience#MachineLearning#Business#ArtificialIntelleigence
🚀 Excited to share new additions to the AIde Solitions HEOR Applications: AI-powered Health Economic Model Development Suite! Each module is designed to streamline specific aspects of model development while working seamlessly together:
📑 Article Summarizer (AIde-Summ)
Systematically extracts and organizes model specifications from publications in 5-10 minutes, compared to traditional 6-10 hours of manual review.
https://lnkd.in/eZ77-TQy
📊 Model Inputs Module
Automatically generates and validates R code for model inputs, translating specifications into production-ready code while ensuring best practices.
https://lnkd.in/eFnuXJk6
🔄 Model Setup Module
Handles the critical transition from inputs to execution-ready data structures, implementing complex features like discontinuation handling and time-dependency.
https://lnkd.in/e-ekmKKS
⚡ Model Execution Module
The computational engine that drives model simulations, handling Markov traces, time-dependent probabilities, and multiple treatment strategies.
https://lnkd.in/e4egtTX2
✅ Model Finalization Module
Ensures quality through comprehensive validation, error detection, and debugging capabilities, guaranteeing reliable results.
https://lnkd.in/eZbYnrDE
📈 Advanced Analytics Module
Implements comprehensive uncertainty analysis by characterizing parameter distributions and generating key visualizations like CE scatter plots and acceptability curves.
https://lnkd.in/eJDUsA-J
🔗 While each module functions independently, they're designed to work together, following the natural flow of model development. Coupled with Model Concept Developer, the model development process can be expedited substantially while keeping the subject matter expert (SME) in full control to ensure quality and robustness of the outcome
If interested and you would like to discuss more, you can reach me at [email protected]#HealthEconomics#HEOR#ArtificialIntelligence#Healthcare#Innovation