OSCAR --Outcome-based System for Consequence Analysis & Recommendations
REQUEST FOR SUGGESTIONS AND INVITATION TO CONTRIBUTE
The following is a long term project which I hope will assist me in seeing a longer run consequences of my actions in a data-driven way.
The project is complex and will likely change in scope.
While I have machine learning experience, having another contributor would be both enjoyable and motivating. Please see the bottom of this page for contact info
If released the tool will be open source
OSCAR will aim to generate a consequence score [-1,1] associated with actions.
Due to the inherent complexity of long-run effects and confounding factors, the follow limitations are placed on any v0.x of the system:
Any predicted outcomes will be relative to a specific goal.
Goal attainment is not predicted. The effect, positive or negative, of a given action on the goal is predicted.
There will be a confidence interval associated with any score.
FEATURES AND INTERFACE CHOICES
Action Input: the user submits an ‘action’, in JSON, to the interface.
Output: a bounded range score. The sign is the anticipated goal attainment effect direction and the magnitude is the effect size relative to other previously provided scores for the goal
Cluster View: given a goal, a dimensional projection of actions is produced with decision boundary which is partitions actions by score s> 0, s<0. This provides a way of viewing action classes (behaviors) which tend to contribute or detract from attainment.
OSCAR to use an optimized personal dataset, text based sentiment analysis, for training a clustering algorithm to determine predicted outcomes and associated confidence intervals for given decisions and actions.
After model training , the interface and results, currently concieved, will be via a plugin for Obsidian.md
System Structure (current thinking)
Optimized personal data of actions , outcomes of goals, as well as known behavioral patterns associated with positive and negative outcomes will be used for the training dataset.
A logistic regression approach will help classify outcomes.
Causal Inference and DAGs will assist in forming pairs (action, outcome).
A classification algorithm will determine clusters of action categories based on outcome.
Characteristics of these clusters will be checked in a user action
Nearness to a decision boundary will help scale the output value
A feature importance analysis (SHAP etc ) will aid in determining the most important aspects of an action type relative to a given goal.
Contributing Time (programming, brainstorming etc)
I’d be grateful for suggestions of any kind throughout this process. From methodologies to feasability and beyond
I would be grateful to have anyone involved who has any interest: technical it otherwise. Please send me a message and we can chat.
Gracious, that looks terrific for one of my projects since multiple factors are involved, and let’s laugh heartily, I am far from smart enough to use what you are describing. However, in case you’re bored, let me just summarize…based on personal experience preventing depression and mood swings, my vulnerability, I have avoided both since 1974 simply by taking turns, with fellow practitioners, giving silent, accepting, and approving attention for spontaneously arising thoughts and for uninhibited experiencing of emotion which can include crying off stress and emotional pain. Science has proved that the suppression of emotion produces tension, chronic tension produces inflammation of the body, brain, and other health problems, tension triggers emotions and activates behavior stored in the brain from previous stressful moments/experiences, and all of this interferes with our reluctance to face reality, seek and evaluate accurate information, think clearly about it, and interact on behalf of everyone on Earth, nonhumans included. Meditation and mindfulness, prayer, etc., are not enough. Our amazing nervous systems need us to experience emotions, not alone, but when we receive another person’s attention, Peer support groups are adequate for this. But we need volunteers to prove that the silent attention that we can give one another and the freedom to tune in to emotions and cry off stress and suffering as needed, will accomplish for our species all that evolution has provided. THANKS FOR READING if you got this far. It’s okay if you don’t respond. Stay safe, be well. Warmly, Pam - 78 and still grateful to be here with everyone, including you.
Hi, thanks for sharing your reaction, Marc. I hear you, but you know, if we’re not going to give each other this type and quality attention offline, we’re not going to do it online. We have tp provide online space dedicated to it and to programs. Later, I’ll pull you up and learn more abou your focus is. The wonderful thing about QS is, everyone here is trying to accomplish something, one way or the other. Your analysis is excellent. My brain isn’t what it used to be yet it is so enjoyable to TRY to think about new ideas, processes strategies. Every brain on Earth, from birth, if safe, thirsts to think.
I swear!! So, I didn’t know I could respond in email, always thot I had to sign in. Nice!!
This is a very interesting line of work.
I spent many years on such analysis and tools making.
Programs Life Navigator, Assistant …
Questionnaire Quest Life.
Objective data about your life, habitat and forecast of the results of your actions.
I will provide all the information if you are interested.
Just keep in mind that such knowledge can be very harmful.
You can lose all illusions.
Technically, this task is quite feasible and government organizations are successfully coping with it.
Everything is limited by the fact that human animals are boundedly rational.
You can know everything you need, but act irrationally.
Knowledge is one thing, behavior is quite another. And this knowledge will bring you only negative emotions.
Your plan will probably work on short term goals up to 1 year, maybe medium term.
Good educational game.
To your actions I would add:
Random important events.
The onset of risks.
These factors can nullify all your actions on the way to the goal.
Have you taken this method as a basis?
Observational Skill-based Clinical Assessment tool for Resuscitation (OSCAR): Development and validation
This sounds great! Would you be interested in getting a head start on your development work?
Our nonprofit built a web and companion mobile app to help people track goals and goal adherence and derive unbiased insights from their data.
We’re working towards an extension library where outside developers and analysts can make their ideas come to fruition without having to build a comprehensive end-to-end interface, work with authentication/single sign-on, deal with integrations like environmental data, health syncs from Apple/Google/Fitbit, and other external data sources.
LLIF software is not therapy software. It’s a self-driven data aggregator that combines features of many popular apps and allows users to consolidate their data lakes found across multiple data providers. What you do with your data is your choice once you’ve consolidated it. LLIF software doesn’t tell you anything that isn’t based on the math behind your data.
For instance, our trend analysis engines only report correlations based on the data you enter. Examples of trend reports could be “you log ‘headaches’ when the barometric pressure changes by 10%” or “you’ve kept to your goal schedule 95% of the attempts made.”
Our platform is meant to hold and protect the data used for the analysis, never changing ownership from the individual who generates/creates that data. Like any nonprofit, if the community does not continually support the presence of our organization, then it will dissolve. The data is then destroyed. It is considered a donor-related asset. It cannot change hands under federal law. We certainly don’t plan on breaking the law either.
If we fail as a nonprofit and cannot sustain community support, the user data is deleted, instead of sold, like what happens to private companies and corporations. If we fail, we plan on making the original code that built the software open-source, instead of letting all the time and effort go to waste. It is the best method of protecting people’s data long-term that is available to us as a US-based NPO.
Public detailed annual reports of NGOs on their activities significantly increase trust and close many questions from potential participants.
Unfortunately, such NGO reports are rare.
Many organizations are not transparent and often bluff
Further, if you want to find more information from the IRS directly, you can search our EIN on this website directory to find more. Unfortunately, their search does not allow me to link directly to our nonprofit, so you’ll have to enter the EIN (82-5300524) from here (https://apps.irs.gov/app/eos/).
If there’s more you may be seeking, please let me know. I can make sure that information is readily available.
Thank you for the input! I’ve since brought up the desire and frankly need for an annual activity report for our nonprofit. I’ll also discuss the topic with our board during our meeting next week.
Hopefully, soon, I can come back to you with a link to it!
Though its certainly less formal, it may be helpful to subscribe to our newsletter where I personally send updates on our progress and activity to subscribers and donors. It’s no obligation, but you may find it helpful.
It is very likely that your decision is correct.
Discuss this issue with the board.
Fund financial statements are a legally required formality for foundations.
The activity report is for audience engagement and is very important.
I assume that potential clients - will not read your financial statements.
Most users do not have the qualifications and desire to understand them.
I have no doubts about your professionalism.
You will complete the assigned tasks.
I have been subscribed to your newsletter for a long time and I even read it carefully
Now I see the fund is making some progress, app downloads have doubled in a few months.