A presentation on how solutions to mental health issues by first responder professionals can become intellectual property for the scientific and publishing communities.
The Pashto Language as a Learning Tool for STEMWinstonGrace2
A presentation on how Pashto of Afghanistan can be a learning resource for STEM (Science, Technology, Engineering, and Mathematics) courses, especially for courses in machine learning .
Romani Language Skills into STEM Skills for WomenWinstonGrace2
A presentation on how knowledge of valency in the Romani language can be a learning tool for learning Science, Technology, Engineering, and Mathematics (STEM).
The Aorist as a Resource for Machine Learning EducationWinstonGrace2
The document discusses using knowledge of the Armenian verb inflection called the aorist as an example for introducing machine learning concepts. It explains that the aorist denotes a simple, completed past action without reference to duration. It provides an example of how spike in viewership data of a TV special could be analyzed using the aorist and context, and introduces the concept of Bayesian inference for determining the likelihood of an event based on changing context in data.
This document discusses using cooking as an analogy to explain neural networks. It outlines how different spices and their ratios can create different tastes, similar to how inputs and their weighted values are summed in a neural network to produce an output. The document proposes creating an online course that teaches computer programming concepts by drawing analogies between cooking recipes and programming neural networks, with the goal of helping bridge the digital divide for women in remote villages.
Tagalog as a Learning Tool for Artificial Intelligence WinstonGrace2
Tagalog has a unique resource for artificial intelligence due to its use of focus/attention. Attention is being used in AI for applications like text translation and image analysis. Tagalog uses grammatical markers to identify key words and their roles, even if word order is changed, allowing machines to understand sentences. This focus mechanism found in Tagalog can be used to teach the concept of attention to AI and help introduce computer science concepts to students while reinforcing language skills.
Digital Workforce Skills from Factory SkillsWinstonGrace2
This document discusses how skills learned in factory work can translate to an understanding of digital workforce technologies. It outlines several technologies commonly found in factories like SCADA systems and PLCs that monitor and control equipment. Understanding these systems can help factory workers learn related information technologies like distributed control systems, automation controllers, and other applications. It emphasizes how experiences with complex, interconnected factory systems can provide insights into systems engineering tools and modeling languages for analyzing and planning digital systems.
The Pashto Language as a Learning Tool for STEMWinstonGrace2
A presentation on how Pashto of Afghanistan can be a learning resource for STEM (Science, Technology, Engineering, and Mathematics) courses, especially for courses in machine learning .
Romani Language Skills into STEM Skills for WomenWinstonGrace2
A presentation on how knowledge of valency in the Romani language can be a learning tool for learning Science, Technology, Engineering, and Mathematics (STEM).
The Aorist as a Resource for Machine Learning EducationWinstonGrace2
The document discusses using knowledge of the Armenian verb inflection called the aorist as an example for introducing machine learning concepts. It explains that the aorist denotes a simple, completed past action without reference to duration. It provides an example of how spike in viewership data of a TV special could be analyzed using the aorist and context, and introduces the concept of Bayesian inference for determining the likelihood of an event based on changing context in data.
This document discusses using cooking as an analogy to explain neural networks. It outlines how different spices and their ratios can create different tastes, similar to how inputs and their weighted values are summed in a neural network to produce an output. The document proposes creating an online course that teaches computer programming concepts by drawing analogies between cooking recipes and programming neural networks, with the goal of helping bridge the digital divide for women in remote villages.
Tagalog as a Learning Tool for Artificial Intelligence WinstonGrace2
Tagalog has a unique resource for artificial intelligence due to its use of focus/attention. Attention is being used in AI for applications like text translation and image analysis. Tagalog uses grammatical markers to identify key words and their roles, even if word order is changed, allowing machines to understand sentences. This focus mechanism found in Tagalog can be used to teach the concept of attention to AI and help introduce computer science concepts to students while reinforcing language skills.
Digital Workforce Skills from Factory SkillsWinstonGrace2
This document discusses how skills learned in factory work can translate to an understanding of digital workforce technologies. It outlines several technologies commonly found in factories like SCADA systems and PLCs that monitor and control equipment. Understanding these systems can help factory workers learn related information technologies like distributed control systems, automation controllers, and other applications. It emphasizes how experiences with complex, interconnected factory systems can provide insights into systems engineering tools and modeling languages for analyzing and planning digital systems.
The document proposes an online course for community educators about the history of medical philosophy and how it can help present medical topics from a liberal arts perspective. The course would focus on the philosophical issues of client-based medicine and comparative medical philosophies across cultures. It would also aim to bridge the gap between patients and doctors on evidence-based medicine and statistical data from medical studies. The goal is to help more people in a community feel comfortable understanding scientific medical topics.
Maya Language Skill & ML Learning SkillsWinstonGrace2
The document proposes an online course that teaches machine learning skills by drawing parallels to characteristics of the Maya language. Specifically, it would highlight split-ergativity, where subjects are marked differently based on their involvement in an action. This grammatical structure similarly exists in other languages like Pashto. The course would explain how split-ergativity in Maya relates to the separation of training and testing data in machine learning cross-validation. This would help promote appreciation for Native American languages while imparting data analysis job skills.
Independent LearningAssisted by Means ofMachine Learning WinstonGrace2
This document proposes using machine learning to assist independent learning for students attending online lectures due to the pandemic. It suggests a program where students in areas with limited technology can submit handwritten work via a village center or mobile device to be optically scanned for analysis. The goals are to enable personalized learning for those who missed schooling, facilitate social-emotional learning, support assessments to plan learning, and reduce burdens on educators during disruptions.
Self Funded Inclusive Insurance + Group Wellness ProgramsWinstonGrace2
Employer-based inclusive insurance with global stop loss policies and wellness programs is proposed as a solution to the lack of adequate healthcare access globally. This involves businesses providing self-funded health insurance to employees through an in-house insurer. Risk is managed through stop loss insurance policies at both the individual business and global levels to insure against extraordinary medical claims. Wellness programs aim to offset costs by encouraging healthy behaviors. Reinsurance provides a further safety net against losses exceeding other risk management measures.
A presentation on Brine/Seawater as a source:
-Of heat for homes
-CaCO3 for a new approach to make concrete
- Hydrogen for generating electricity by means of fuel cells.
The document proposes an urban design that uses existing technologies to reduce carbon dioxide levels through transportation, agriculture, waste disposal, and industrial activity. Compressed air cars and industrial compressors would capture carbon dioxide, which could then be piped to greenhouses for sequestration by plants or converted to carbon and hydrogen from methane in landfills to produce electricity and water.
Solutions as Intellectual Property&Reinsurance for MicroinsurersWinstonGrace2
Villages face challenges improving local health issues. Microinsurance can help cover medical costs but microinsurers also need coverage. The solution proposes using anonymized patient data from microinsurers to set reinsurance rates for microinsurers. It also proposes communities license success stories as intellectual property to generate revenue to invest in health projects. Combining the data and stories creates a multidimensional dataset that can inform primary healthcare improvement through low-cost and streamlined measurement methods.
The document proposes an online course for community educators about the history of medical philosophy and how it can help present medical topics from a liberal arts perspective. The course would focus on the philosophical issues of client-based medicine and comparative medical philosophies across cultures. It would also aim to bridge the gap between patients and doctors on evidence-based medicine and statistical data from medical studies. The goal is to help more people in a community feel comfortable understanding scientific medical topics.
Maya Language Skill & ML Learning SkillsWinstonGrace2
The document proposes an online course that teaches machine learning skills by drawing parallels to characteristics of the Maya language. Specifically, it would highlight split-ergativity, where subjects are marked differently based on their involvement in an action. This grammatical structure similarly exists in other languages like Pashto. The course would explain how split-ergativity in Maya relates to the separation of training and testing data in machine learning cross-validation. This would help promote appreciation for Native American languages while imparting data analysis job skills.
Independent LearningAssisted by Means ofMachine Learning WinstonGrace2
This document proposes using machine learning to assist independent learning for students attending online lectures due to the pandemic. It suggests a program where students in areas with limited technology can submit handwritten work via a village center or mobile device to be optically scanned for analysis. The goals are to enable personalized learning for those who missed schooling, facilitate social-emotional learning, support assessments to plan learning, and reduce burdens on educators during disruptions.
Self Funded Inclusive Insurance + Group Wellness ProgramsWinstonGrace2
Employer-based inclusive insurance with global stop loss policies and wellness programs is proposed as a solution to the lack of adequate healthcare access globally. This involves businesses providing self-funded health insurance to employees through an in-house insurer. Risk is managed through stop loss insurance policies at both the individual business and global levels to insure against extraordinary medical claims. Wellness programs aim to offset costs by encouraging healthy behaviors. Reinsurance provides a further safety net against losses exceeding other risk management measures.
A presentation on Brine/Seawater as a source:
-Of heat for homes
-CaCO3 for a new approach to make concrete
- Hydrogen for generating electricity by means of fuel cells.
The document proposes an urban design that uses existing technologies to reduce carbon dioxide levels through transportation, agriculture, waste disposal, and industrial activity. Compressed air cars and industrial compressors would capture carbon dioxide, which could then be piped to greenhouses for sequestration by plants or converted to carbon and hydrogen from methane in landfills to produce electricity and water.
Solutions as Intellectual Property&Reinsurance for MicroinsurersWinstonGrace2
Villages face challenges improving local health issues. Microinsurance can help cover medical costs but microinsurers also need coverage. The solution proposes using anonymized patient data from microinsurers to set reinsurance rates for microinsurers. It also proposes communities license success stories as intellectual property to generate revenue to invest in health projects. Combining the data and stories creates a multidimensional dataset that can inform primary healthcare improvement through low-cost and streamlined measurement methods.
2. The tasks for mental health first
responders can be complicated,
and funding in some communities
can be challenging.
3. The stories of solutions for complicated mental health emergency calls,
with complete privacy maintained for the individuals involved,
could inspire other communities.
4. THE NARRATIVES CAN BE COMBINED AS
METADATA,
PROTECTING THE PRIVACY OF THOSE INVOLVED.
5. As metadata, statistical data can be
compiled,
showing the likelihood of success of the
various protocols
implemented by first responders in
various scenarios
involving an individual struggling with a
mental health condition.
6. THE STATISTICAL DATA COULD BE LICENSED
FOR DATA ANALYTICS,
MAKING THE DATA INTELLECTUAL PROPERTY.
7. Along with this,
the narratives could be licensed
as intellectual property
for novels, short stories, and so on.
8. Revenue from the intellectual
property being licensed for
technical journals and other
publications could assist in funding
these first responders.