Collective intelligence, which is groups of individuals acting together in intelligent ways, may be more intelligent than individuals. Tom Malone studies how to design groups for maximum effectiveness. To build a science of collective intelligence, they need to measure and develop theories of how it works. They can build on knowledge from many disciplines. To create a design space, they characterize different tasks and processes groups can use. Experiments can test how different processes work on tasks. Theories are modified based on results, guiding future experiments and design ideas for collective intelligence in practice. This research may help solve important human problems by identifying new institutional structures for groups to work together effectively.
Collective intelligence refers to groups of individuals acting together in ways that seem intelligent. It includes groups of people, animals, and even neurons.
Groups of people can be more intelligent than individuals, responsible for major human achievements.
Measuring collective intelligence is important, including developing tests analogous to IQ tests for individuals.
Theories from different disciplines like biology, economics, and psychology are needed to understand collective intelligence.
A design space with different types of tasks and processes can help create a systematic map of collective intelligence systems.
Family trees of tasks and processes can suggest simple theories and highlight possible combinations to test.
Iterating between top-down theories and bottom-up testing can help develop and refine theories of collective intelligence.
Design ideas for collective intelligence systems in practice can be generated to guide theory development.
Understanding collective intelligence could help solve problems like misinformation, creating superintelligent human-computer groups, and improving education and democracy.
A new science of collective intelligence could help unlock how intelligence works and solve important human problems.
The video provides advice and coping mechanisms for the author’s past self to be more productive and happy. These include writing everything down, using a calendar for events, accepting one’s autism diagnosis [lol @ how the ai generalized this], asking for clarification when communication is unclear, organizing notes with hyperlinks, and using timers and the Pomodoro Technique to structure work. An interesting point is that the author recommends storing one’s “brain” in plain text files instead of proprietary apps to ensure longevity. Externalizing information helps augment memory.
ok the list version is way more reasonable lol
The speaker relies heavily on external systems like writing things down, using calendars, task lists, and note taking apps to augment his memory and organize his thoughts.
He recommends using plain text formats like Markdown instead of proprietary apps to store information externally.
Hyperlinks between notes and pages are an important feature to create an external “brain”.
He has ADHD and autism which affects his communication and memory, so external systems help compensate.
He recommends doing the hardest tasks first thing to be most productive.
Focusing on positives and useful emotions instead of negatives helps him.
Using timers and the Pomodoro Technique tricks his brain into being productive.
He develops systems by starting manually, noticing patterns, and then automating those patterns.
He relies on triggers and feedback loops to form good habits.
The most important advice is to just start now and keep at it.
The video discusses the challenges of integrating knowledge across disciplines in research teams. Despite many attempts over the past 20 years, most interdisciplinary research remains multi-disciplinary with little true integration. The speaker argues that early interactions in interdisciplinary teams are crucial to develop a shared conceptualization and become a complex system capable of true knowledge integration. If teams allocate sufficient time in their first meetings to develop a co-created understanding of the research problem, it can help overcome many of the challenges that plague interdisciplinary research. Focusing on participatory and inclusive interactions, learning each other’s perspectives, and developing links across disciplines early on can set the team on the path to emergence of a shared vision and aligned goals.
Integrating knowledge across disciplines is challenging due to differences in backgrounds, perspectives, and deep knowledge in different fields.
Seven key factors that hinder interdisciplinary collaboration are high diversity, deep knowledge integration, large team size, goal misalignment, permeable boundaries, geographic dispersion, and task interdependence.
Focusing on how to effectively integrate knowledge early on can help with aligning goals and managing dependencies later.
Interdisciplinary teams need to allocate time in early meetings to develop a shared understanding of the research problem.
Interdisciplinary teams need to evolve into complex systems through interactions in order to be successful.
Key interactions that help develop an interdisciplinary team include being participatory, learning perspectives, developing links across disciplines, and being adaptable.
Emergence of a shared vision and aligned goals comes from the interactions within the system.
Sticking with the process leads to emergence over time.
Teamwork builds social ties, trust, and collaboration skills.
Better collaboration leads to more collaboration in a reinforcing cycle.
The video discusses 3 proven study techniques backed by scientific research: 1) Testing yourself early and often, even if you get answers wrong initially, to take advantage of the hypercorrection effect and better retain information. 2)Spacing out study sessions over time to improve long-term retention. 3) Interleaving different topics during study to develop broader strategies and more flexible knowledge. Interleaving, though more frustrating, leads to significantly better performance.The video is sponsored by the Bill and Melinda Gates Foundation, which focuses on evidence-based education initiatives. Their annual letter highlights the need for innovative, risk-taking solutions tailored to each school’s specific student demographics and challenges.
Testing yourself early and often, even if you get answers wrong initially, can help you retain information better through the hypercorrection effect.
Spacing out your studying over time with gaps in between, almost forgetting the material and then revisiting it, improves long term retention.
Interleaving, or mixing up different types of related problems or challenges, makes the learning process harder but develops stronger skills and more flexible knowledge.
Education initiatives need to be evidence-based and rigorously studied to be effective.
There is no one-size-fits-all solution to education—solutions need to be tailored to the specific community and student body.
Mitigating course failures, keeping students from failing more than one course, greatly increases the likelihood of graduation.
Each school faces unique challenges that require unique solutions.
The video focuses on applying research and evidence to improve education and the environment.
Climate change will affect everyone so understanding and applying solutions is important.
The Gates’ annual letter discusses their focus on climate change and evidence-based education initiatives.
effectiveness, teamwork, meta-science, practicality, etc
Collective intelligence, which is groups of individuals acting together in intelligent ways, may be more intelligent than individuals. Tom Malone studies how to design groups for maximum effectiveness. To build a science of collective intelligence, they need to measure and develop theories of how it works. They can build on knowledge from many disciplines. To create a design space, they characterize different tasks and processes groups can use. Experiments can test how different processes work on tasks. Theories are modified based on results, guiding future experiments and design ideas for collective intelligence in practice. This research may help solve important human problems by identifying new institutional structures for groups to work together effectively.
Collective intelligence refers to groups of individuals acting together in ways that seem intelligent. It includes groups of people, animals, and even neurons.
Groups of people can be more intelligent than individuals, responsible for major human achievements.
Measuring collective intelligence is important, including developing tests analogous to IQ tests for individuals.
Theories from different disciplines like biology, economics, and psychology are needed to understand collective intelligence.
A design space with different types of tasks and processes can help create a systematic map of collective intelligence systems.
Family trees of tasks and processes can suggest simple theories and highlight possible combinations to test.
Iterating between top-down theories and bottom-up testing can help develop and refine theories of collective intelligence.
Design ideas for collective intelligence systems in practice can be generated to guide theory development.
Understanding collective intelligence could help solve problems like misinformation, creating superintelligent human-computer groups, and improving education and democracy.
A new science of collective intelligence could help unlock how intelligence works and solve important human problems.
https://www.youtube.com/watch?v=KWfXZ5Gx54A
The video provides advice and coping mechanisms for the author’s past self to be more productive and happy. These include writing everything down, using a calendar for events, accepting one’s autism diagnosis [lol @ how the ai generalized this], asking for clarification when communication is unclear, organizing notes with hyperlinks, and using timers and the Pomodoro Technique to structure work. An interesting point is that the author recommends storing one’s “brain” in plain text files instead of proprietary apps to ensure longevity. Externalizing information helps augment memory. ok the list version is way more reasonable lol
The speaker relies heavily on external systems like writing things down, using calendars, task lists, and note taking apps to augment his memory and organize his thoughts.
He recommends using plain text formats like Markdown instead of proprietary apps to store information externally.
Hyperlinks between notes and pages are an important feature to create an external “brain”.
He has ADHD and autism which affects his communication and memory, so external systems help compensate.
He recommends doing the hardest tasks first thing to be most productive.
Focusing on positives and useful emotions instead of negatives helps him.
Using timers and the Pomodoro Technique tricks his brain into being productive.
He develops systems by starting manually, noticing patterns, and then automating those patterns.
He relies on triggers and feedback loops to form good habits.
The most important advice is to just start now and keep at it.
https://www.youtube.com/watch?v=XUZ9VATeF_4
The video discusses the challenges of integrating knowledge across disciplines in research teams. Despite many attempts over the past 20 years, most interdisciplinary research remains multi-disciplinary with little true integration. The speaker argues that early interactions in interdisciplinary teams are crucial to develop a shared conceptualization and become a complex system capable of true knowledge integration. If teams allocate sufficient time in their first meetings to develop a co-created understanding of the research problem, it can help overcome many of the challenges that plague interdisciplinary research. Focusing on participatory and inclusive interactions, learning each other’s perspectives, and developing links across disciplines early on can set the team on the path to emergence of a shared vision and aligned goals.
Integrating knowledge across disciplines is challenging due to differences in backgrounds, perspectives, and deep knowledge in different fields.
Seven key factors that hinder interdisciplinary collaboration are high diversity, deep knowledge integration, large team size, goal misalignment, permeable boundaries, geographic dispersion, and task interdependence.
Focusing on how to effectively integrate knowledge early on can help with aligning goals and managing dependencies later.
Interdisciplinary teams need to allocate time in early meetings to develop a shared understanding of the research problem.
Interdisciplinary teams need to evolve into complex systems through interactions in order to be successful.
Key interactions that help develop an interdisciplinary team include being participatory, learning perspectives, developing links across disciplines, and being adaptable.
Emergence of a shared vision and aligned goals comes from the interactions within the system.
Sticking with the process leads to emergence over time.
Teamwork builds social ties, trust, and collaboration skills.
Better collaboration leads to more collaboration in a reinforcing cycle.
https://www.youtube.com/watch?v=BiyHgvJ9v50
The video discusses 3 proven study techniques backed by scientific research: 1) Testing yourself early and often, even if you get answers wrong initially, to take advantage of the hypercorrection effect and better retain information. 2)Spacing out study sessions over time to improve long-term retention. 3) Interleaving different topics during study to develop broader strategies and more flexible knowledge. Interleaving, though more frustrating, leads to significantly better performance.The video is sponsored by the Bill and Melinda Gates Foundation, which focuses on evidence-based education initiatives. Their annual letter highlights the need for innovative, risk-taking solutions tailored to each school’s specific student demographics and challenges.
Testing yourself early and often, even if you get answers wrong initially, can help you retain information better through the hypercorrection effect.
Spacing out your studying over time with gaps in between, almost forgetting the material and then revisiting it, improves long term retention.
Interleaving, or mixing up different types of related problems or challenges, makes the learning process harder but develops stronger skills and more flexible knowledge.
Education initiatives need to be evidence-based and rigorously studied to be effective.
There is no one-size-fits-all solution to education—solutions need to be tailored to the specific community and student body.
Mitigating course failures, keeping students from failing more than one course, greatly increases the likelihood of graduation.
Each school faces unique challenges that require unique solutions.
The video focuses on applying research and evidence to improve education and the environment.
Climate change will affect everyone so understanding and applying solutions is important.
The Gates’ annual letter discusses their focus on climate change and evidence-based education initiatives.
https://www.youtube.com/watch?v=Y_B6VADhY84