Doing "good" research: EA-based
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Skill
1
Knowledge organization and management
2
Generate research ideas
3
Write research proposal
4
Select data
5
Orientation in a new field
6
Designing a study (methodology)
7
Choose the appropriate method
8
Theory of change
9
Specify research question
10
Effective note taking
11
Literature surveys
12
Doing research that impacts real-world outcomes (decision-making,etc)
13
Fermi Estimates
14
Cost-effectiveness analysis, expected value calculation
15
Statistical analysis
16
Red teaming
17
Categorize information
18
Identify crucial considerations
19
Survey research
20
Modeling
21
Forecasting
22
Compare alternatives with equal rigor
23
Getting research published
24
Transparency when publishing/communicating/sharing research
25
Reference to web pages
26
Present findings
27
Data management
28
Express uncertainty
29
Bayesian thinking
30
Research Thinking Habits
31
Good Judgement
32
Interdisciplinary research (to tackle specific problems/questions)
33
Collaborative research
34
Foreign language skills
35
Getting feedback
36
Tool: workflowy
37
Tool: Elicit
38
Tool: Roam
39
Tool: Guesstimate
Drag to adjust the number of frozen columns
Description
Categorization of skill
Value proposition
Source of inspiration
Time commitment
How to learn?
Useful resources: database entries
Useful resources: links
Other thoughts
EA exemplary research
Research ideas
Involves: Prep: effective note-taking; research thinking habits?
Preparation
'Good idea and knowledge organization and management, whether you use the tools mentioned above or not, is crucial in research. The earlier you start thinking about how you want to approach it, the easier it will be to make it a habit.' https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view
Collaborative learning group: go through resources and suggestions for systems to use, discuss, maybe design some exercises? Compile resources and suggestions in a file and share with group for individual consultation and learning
Post\Bringing it all together: high impact research management
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view: Connecting ideas; https://zettelkasten.de/; maybe: The Intellectual Foundation Of Information Organization by Elaine Svenonius
Post\Disentangling arguments for the importance of AI safety
Preparation
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view
Collaborative learning group: go through resources, discuss, maybe design some exercises? https://www.notion.so/Finding-a-high-impact-research-direction-in-the-field-of-China-studies-511e2e9382ba4069aadc1f250112c449 as a group exercise? Exercises in https://forum.effectivealtruism.org/posts/AP9FowhqT7MXDSm5P/learning-to-ask-action-relevant-questions-1 Compile resources in a file and share with group for individual consultation and learning Ask Effective Thesis people res. workshop?
Post\Are you working on a research agenda? A guide to increasing the impact of your research by involving decision-makers
Post\Doing Good Badly?
Post\Why EAs researching mainstream topics can be useful
Post\How to succeed as an early-stage researcher: the “lean startup” approach
Post\How to generate research proposals
Post\How to do high impact research
Post\A framework for comparing global problems in terms of expected impact
Post\How to compare global problems for yourself
Post\How to do important research
Post\Should marginal longtermist donations support fundamental or intervention research?
Post\Improving Sino-Western coordination on global catastrophic risks and other key problems
Post\Policy and research ideas to reduce existential risk
Post\Is most research a waste?
Post\Research questions that could have a big social impact, organised by discipline
Post\A central directory for open research questions
https://effectivethesis.org/theses/, https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view: Finding a high-impact research direction, https://www.lesswrong.com/posts/guRASsKLfdQ5m7LLw/hard-problem-hack-away-at-the-edges, https://www.effectivealtruism.org/articles/three-heuristics-for-finding-cause-x/
Post\Why I’ve come to think global priorities research is more important than I thought
Finding a high impact research direction in the field of Ch GPC studies
80K career planning
Prioritize between fundamental and intervention research in the Ch GPC space
Perform strategy research in the EA Ch GPC field
Preparation
Writing a good research proposal is the basis for getting good feedback, reflecting and improving on one's own ideas, spotting mistakes or potential difficulties, getting funding, getting research collaborators
GoogleDoc\Research project selection
resources offered on p. 14 of https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view
Avoid selection and publication bias: https://www.givewell.org/united-states/process/common-evaluation-problems, https://blog.givewell.org/2012/08/23/how-we-evaluate-a-study/
Preparation
https://www.givewell.org/united-states/process/common-evaluation-problems
https://www.givewell.org/united-states/process/common-evaluation-problems
Preparation
'Having to understand what a specific research field is all about is something you will do repeatedly if you stay in academia or other research dominated fields.' https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view https://www.lesswrong.com/posts/64FdKLwmea8MCLWkE/the-neglected-virtue-of-scholarship
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view, https://www.charityentrepreneurship.com/blog/the-benefit-of-broad-understanding
Collaborative learning group: go through resources, discuss, maybe design some exercises? Pick random subfield of China studies and do orientation as a group exercise? Compile resources in a file and share with group for individual consultation and learning
GoogleDoc\Compilation of thoughts on impact-oriented interdisciplinary research
Post\Literature Review For Academic Outsiders: What, How, and Why
Post\A meta-analysis may not mean much
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view: Orientation in a new research field; https://www.lesswrong.com/posts/37sHjeisS9uJufi4u/scholarship-how-to-do-it-efficiently; https://forum.effectivealtruism.org/posts/8w2hNT5WtDMzoaGuy/when-to-find-more-information-a-short-explanation
May be relevant for https://www.notion.so/Prep-Literature-surveys-93c61ec2fc294d589e3081938720bcaa
Post\Job satisfaction research
Post\Biases: how they affect your career decisions, and what to do about them
Post\Disentangling arguments for the importance of AI safety
Perform strategy research in the EA Ch GPC field
Involves: Generate research ideas, Specify research question, Choose the appropriate method, Select data From https://github.com/PolicyDesignEvaluationLab/teaching-credibility: Avoiding problems associated with and|or blamed for replication and reproducability crises, through (1) registration of studies in order to combat publication bias (2) pre-analysis plans to limit researcher degrees of freedom and p-hacking
Preparation
https://effectivethesis.org/resources/https://github.com/PolicyDesignEvaluationLab/teaching-credibility
Talk\How to do research that matters
Post\Research as a Stochastic Decision Process
Post\Is most research a waste?
https://github.com/PolicyDesignEvaluationLab/teaching-credibility; https://blog.givewell.org/2012/08/23/how-we-evaluate-a-study/
Advice collected thus far only refers to quantitative, experimental studies
Paper\Exploring the Microfoundations of International Community: Toward a Theory of Enlightened Nationalism
Report\Deciphering China's AI Dream
Perform "improvement research" in the EA Ch GPC field
https://blog.givewell.org/2009/04/24/qualitative-evidence-vs-stories/ on qualitative methods and why they don't rely on them; comments also offer interesting discussion From https://blog.givewell.org/2012/08/23/how-we-evaluate-a-study/: How to substantiate causal attribution
Preparation
https://blog.givewell.org/2012/08/17/our-principles-for-assessing-evidence/: gives an assessment of the evidence on intervention effectiveness produced by different methods; https://blog.givewell.org/2012/08/23/how-we-evaluate-a-study/: On methods to substantiate causal attribution
Not sure if this is analysis, prep, or tool
Preparation
Making explicit how research is expected to have an impact → basis for increasing the expected impact; gives direction and motivation; points to further or alternative RQs http://www.aaronsw.com/weblog/theoryofchange, a post by Aaron Swartz on the value of planning
https://forum.effectivealtruism.org/posts/EMKf4Gyee7BsY2RP8/michaela-s-shortform?commentId=3AcvrvKpHBqj5mHaB
Low
Post\High Impact Science
GoogleSlides\Theory of Change
Post\Identifying Plausible Paths to Impact and their Strategic Implications
Post\Academic research
Post\The Web of Prevention
Post\Theory Of Change As A Hypothesis: Choosing A High-Impact Path When You’re Uncertain
https://forum.effectivealtruism.org/posts/EMKf4Gyee7BsY2RP8/michaela-s-shortform?commentId=3AcvrvKpHBqj5mHaB
Post\Personal thoughts on careers in AI policy and strategy
80K career planning
Perform strategy research in the EA Ch GPC field
Builds on: Generate research ideasInvolves: Comparing alternatives with equal rigor
Preparation
https://forum.effectivealtruism.org/posts/EMKf4Gyee7BsY2RP8/michaela-s-shortform?commentId=3AcvrvKpHBqj5mHaB
Talk\How to do research that matters
https://forum.effectivealtruism.org/posts/AP9FowhqT7MXDSm5P/learning-to-ask-action-relevant-questions-1; https://forum.effectivealtruism.org/posts/EMKf4Gyee7BsY2RP8/michaela-s-shortform?commentId=3AcvrvKpHBqj5mHaB; https://www.lesswrong.com/posts/SEq8bvSXrzF4jcdS8/tips-and-tricks-for-answering-hard-questions?commentId=M8JHKpTAAzKCaGePi
Preparation
Important for taking in information effectively and efficiently; for organizing, sharing, and reusing info and thoughts; for preparing literature reviews,etc
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view
http://advice.writing.utoronto.ca/researching/notes-from-research/
Involves: Knowledge organization, maybe Orientation in a new field https://blog.givewell.org/2012/09/06/surveying-the-research-on-a-topic/: questions to ask of a literature review to assess quality -What are the motivations of the literature reviewer? -How did the literature reviewer choose which studies to include? -How thoroughly and consistently does the literature review discuss the strengths and weaknesses of each study? -Does the literature review include meta-analysis, attempting to quan
Preparation
Analysis
See Why do literature review? here: https://www.lesswrong.com/posts/RKz7pc6snBttndxXz/literature-review-for-academic-outsiders-what-how-and-why-1
Post\Exploring Existential Risk - using Connected Papers to find Effective Altruism aligned articles and researchers
Post\Finding and managing literature on EA topics
GoogleDoc\Effective Research Teams
Post\Ingredients for creating disruptive research teams
GoogleDoc\Compilation of thoughts on impact-oriented interdisciplinary research
Post\Literature Review For Academic Outsiders: What, How, and Why
Talk\Get Lit: The Literature Review
Post\Internet Search Tips
Post\A meta-analysis may not mean much
http://advice.writing.utoronto.ca/researching/notes-from-research/; https://blog.givewell.org/2012/08/23/how-we-evaluate-a-study/, https://blog.givewell.org/2012/08/17/our-principles-for-assessing-evidence/: tailored to research on intervention effects; https://blog.givewell.org/2012/09/06/surveying-the-research-on-a-topic/;
GoogleDoc\Effective-Research-Teams
Post\Ingredients-for-creating-disruptive-research-teams
Post\2019 AI Alignment Literature Review and Charity Comparison
Post\The LessWrong 2018 Review
Post\Job satisfaction research
Post\A case for the effectiveness of protest
Post\Disentangling arguments for the importance of AI safety
Write essays on key questions or issues
This encompasses a set of skills and considerations and is relevant long before it comes to disseminating or communicating one's research.
Preparation
Dissemination
Analysis
EA-motivation: positive impact as a core objective
https://effectivethesis.org/resources/
Low
Mid
Collaborative learning group: go through resources, discuss, maybe design some exercises? Compile resources in a file and share with group for individual consultation and learning
Talk\How to do research that matters
Post\Building more and better epistemic institutions in the effective altruism community
Post\High Impact Science
Post\Identifying Plausible Paths to Impact and their Strategic Implications
Post\Should surveys about the quality/impact of research outputs be more common?
Post\Academic research
Post\Is most research a waste?
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view; https://www.notion.so/Talk-How-to-do-research-that-matters-a1f6354c5f9b4beba7dc5cca57e6f90c, https://www.notion.so/Post-Building-more-and-better-epistemic-institutions-in-the-effective-altruism-community-0867ebb36fa94f28acdb58af33fe715f
Prioritize between fundamental and intervention research in the Ch GPC space
Perform "improvement research" in the EA Ch GPC field
Analysis
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/viewhttps://www.lesswrong.com/posts/PsEppdvgRisz5xAHG/fermi-estimates
https://www.lesswrong.com/posts/PsEppdvgRisz5xAHG/fermi-estimates
Analysis
https://www.givewell.org/how-we-work/our-criteria/cost-effectiveness: 'There are many limitations to cost-effectiveness estimates, and we do not assess charities only—or primarily—based on their estimated cost-effectiveness. However, because different approaches to helping people can have extremely different costs, we make cost-effectiveness estimates for our top charities.'
https://www.givewell.org/how-we-work/our-criteria/cost-effectiveness
Post\Using Subjective Well-Being to Estimate the Moral Weights of Averting Deaths and Reducing Poverty
Post\High Impact Science
https://www.givewell.org/how-we-work/our-criteria/cost-effectiveness, https://80000hours.org/articles/expected-value/, https://forum.effectivealtruism.org/tag/expected-value
Post\A case for the effectiveness of protest
From https://blog.givewell.org/2012/08/23/how-we-evaluate-a-study/: Metrics to pay attention to for statistical analysis: effect size, p-value, sample size, attrition, external validity, potential placebo effect
Analysis
'Be familiar with the basics of descriptive and inferential statistics, Bayesian reasoning, and microeconomics (supply and demand, comparative advantage, elasticity, marginal thinking, value of information, etc.).' https://www.openphilanthropy.org/blog/reflections-our-2018-generalist-research-analyst-recruiting#What_can_someone_do_now_to_become_a_stronger_fit_for_future_Open_Philanthropy_generalist_RA_openings
https://effectivethesis.org/resources/
https://www.coursera.org/learn/statistical-inferences, https://www.coursera.org/learn/improving-statistical-questions
Doesn't seem like the highest-value skill for our group to provide training for; many good resources on this exist with or without overt EA-alignment, people interested in it can probably work on it on their own?
Analysis
Justification here: https://forum.effectivealtruism.org/posts/myp9Y9qJnpEEWhJF9/linch-s-shortform#hedmemCCrb4jkviAd
Will's comment in GoogleDoc: https://docs.google.com/document/d/12y7FPz8mq0Wy3jtsFdwwuKFQyVi0jFbiYsMcQPM8o-k/edit
Read explanation in EA comment (see useful resources), then practice (see Research ideas)
Comment\Red teaming papers as an EA training exercise?
Report\Deciphering China's AI Dream
Red teaming what's currently written on 80k/EA Forum around China/China careers
Identify prominent myths/unsubstantiated beliefs/memes in the "China watching" space and/or in research on China
Summarize and/or structure information by dividing it into separate categories; categories can be defined along different criteria, depending on the type of information and the kinds of insights expected from it; making criteria for separate categories explicit is important; categories should be as exhaustive and non-overlapping as possible (though perfection in achieving this is often unattainable).
Analysis
For unexplored topics, "sensible" categorization can be extremely useful to condense information, extract insights, identify uncertainties and open questions, find patterns, etc
EA Forum: https://forum.effectivealtruism.org/posts/oovy5XXdCL3TPwgLE/a-case-for-strategy-research-what-it-is-and-why-we-need-more
Practice is really important for getting better at this. But also, of course: reading relevant articles on the topic, talking to experienced researchers
Post\A case for strategy research: what it is and why we need more of it
Post\What should you look for in a job? Introducing our framework.
Post\Biases: how they affect your career decisions, and what to do about them
Post\Disentangling arguments for the importance of AI safety
Write essays on key questions or issues
Not sure if this should be a separate row here? "A crucial consideration is a consideration that warrants a major reassessment of a cause area or an intervention." (https://forum.effectivealtruism.org/tag/crucial-consideration)
Analysis
EA Forum: https://forum.effectivealtruism.org/posts/oovy5XXdCL3TPwgLE/a-case-for-strategy-research-what-it-is-and-why-we-need-more ->"How do other research terms in effective altruism relate to this framework?"
Post\Crucial consideration
Talk\Crucial Considerations and Wise Philanthropy
Post\The Web of Prevention
Post\Prioritization Research for Advancing Wisdom and Intelligence
Post\My personal cruxes for working on AI safety
Analysis
Paper\Exploring the Microfoundations of International Community: Toward a Theory of Enlightened Nationalism
This is a broad category, encompassing and/or overlapping with many of the other skills at least in part (e.g., "categorizing information," "statistical analysis," "Bayesian thinking").
Analysis
e.g.: https://forum.effectivealtruism.org/posts/ckj6Moau9qpYArHWc/want-to-be-an-expert-build-deep-models?
EA Forum Digest #63
High
Idk
Post\Gears vs Behavior
https://forum.effectivealtruism.org/posts/ckj6Moau9qpYArHWc/want-to-be-an-expert-build-deep-models?, https://docs.google.com/document/d/1n2Y3EKveZx8w2hLiDYLIZ444sxrGgUQnJHHCKU-pCJE/edit,
Post\Causal diagrams of the paths to existential catastrophe
Build simple quantitative models with uncertainty/confidence intervals for answering some China or GC-related question(s)
Analysis
Preparation
https://forum.effectivealtruism.org/posts/EMKf4Gyee7BsY2RP8/michaela-s-shortform?commentId=3AcvrvKpHBqj5mHaBhttps://www.openphilanthropy.org/blog/reflections-our-2018-generalist-research-analyst-recruiting#What_can_someone_do_now_to_become_a_stronger_fit_for_future_Open_Philanthropy_generalist_RA_openings
Participate in prediction tournaments Read relevant commentary Learn how about https://www.notion.so/Prep-Orientation-in-a-new-field-9f06aa786b3840539a73a6b89de40982, https://www.notion.so/Analysis-Fermi-Estimates-867f42329b8e4c68ac6e4dad43dc2978
Post\Fox vs. Hedgehog
Forecasting how long a research project (or sub-tasks within your project) will take you
Build simple quantitative models with uncertainty/confidence intervals for answering some China or GC-related question(s)
Potentially involves https://www.notion.so/Analysis-cost-effectiveness-7c69d000802549c8839e36b479feff41 Related: prioritization research -> should this be a separate skill?
Analysis
Preparation
Not comparing your option (hypothesis, action, decision, career path, path of inquiry, etc etc) to alternatives with equal rigor can result in: inefficiency (less positive impact than would be possible), over- or underconfidence (being put off by downsides of your option because you're unaware that the alternatives are even worse). (https://www.notion.so/Talk-How-to-do-research-that-matters-a1f6354c5f9b4beba7dc5cca57e6f90c )
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/viewhttps://www.notion.so/Talk-How-to-do-research-that-matters-a1f6354c5f9b4beba7dc5cca57e6f90c
Talk\How to do research that matters
Post\Using a Spreadsheet to Make Good Decisions
Post\A framework for comparing global problems in terms of expected impact
Post\How to compare global problems for yourself
https://s3.amazonaws.com/thinkific-import-development/276711/22juneeditspublicversionCEHandbookGoogleDocs-200627-101312.pdf: II. Multi-factor decision-making; https://www.notion.so/Methodology-Evaluate-alternatives-c649cdc712cc4d63b15facc810bbba4f; https://blog.givewell.org/2011/08/18/why-we-cant-take-expected-value-estimates-literally-even-when-theyre-unbiased/; https://blog.givewell.org/2014/06/10/sequence-thinking-vs-cluster-thinking/; Cause prioritization: https://80000hours.org/articles/c
Post\What should you look for in a job? Introducing our framework.
Post\Disentangling arguments for the importance of AI safety
Evaluate different "kinds of support" often used in arguments in the China field (or in one subfield, e.g. on "great power competition", on "the rise of China and its implications (risks and opportunities)", on nuclear policy, etc)
80K career planning
Dissemination
Research is often more likely to have a high positive impact if it is published in prominent journals Publication record raises reputation of researchers → career capital, higher chance of impact
https://effectivethesis.org/resources/
Post\Is most research a waste?
Post\Bringing it all together: high impact research management
https://www.journalguide.com/, https://jane.biosemantics.org/
Might not be highest priority for members of the group at the moment; also questionable whether acquiring this skill in group training sessions is worthwhile
For studies relying on large datasets, from https://github.com/PolicyDesignEvaluationLab/teaching-credibility: : (6) preparing files for replication (7) sharing data and code in a way that is usable and protects personally identifying information (PII)
Dissemination
https://effectivethesis.org/resources/https://github.com/PolicyDesignEvaluationLab/teaching-credibility
Post\Reasoning Transparency
https://github.com/PolicyDesignEvaluationLab/teaching-credibility; maybe https://www.givewell.org/how-we-work/transparency
Post/Archiving URLs: "Links on the Internet last forever or a year, whichever comes first. This is a major problem for anyone serious about writing with good references, as link rot will cripple several% of all links each year, and compounding. To deal with link rot, I present my multi-pronged archival strategy using a combination of scripts, daemons, and Internet archival services"
Dissemination
Post/Archiving URLs: "It’s not much good to have an extensive essay on some topic where half the links are dead and the reader can neither verify my claims nor get context for my claims."
https://www.gwern.net/Archiving-URLs
Post\Archiving URLs
Involves: https://www.notion.so/Analysis-express-uncertainty-19f32f9320104bf2ba341c88ea8d0e06
Dissemination
Analysis
Post\How to succeed as an early-stage researcher: the “lean startup” approach
Talk\How to do research that matters
Post\Reasoning Transparency
Post\Identifying Plausible Paths to Impact and their Strategic Implications
Post\Bringing it all together: high impact research management
https://www.notion.so/Methodology-Present-findings-ce25a6b64ede4486a5c5eb716c9e2f5b; resources offered on p. 14 of https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view; https://www.openphilanthropy.org/reasoning-transparency
GoogleDoc\Effective-Research-Teams
Post\Ingredients-for-creating-disruptive-research-teams
Post\Why-EAs-researching-mainstream-topics-can-be-useful
Post\Rethink Priorities 2020 Impact and 2021 Strategy
Post\Center on Long-Term Risk: 2021 Plans & 2020 Review
Post\A case for strategy research: what it is and why we need more of it
Post\Personal thoughts on careers in AI policy and strategy
Post\Prioritization Research for Advancing Wisdom and Intelligence
Report\Deciphering China's AI Dream
Post\Job satisfaction research
Post\What should you look for in a job? Introducing our framework.
Post\Biases: how they affect your career decisions, and what to do about them
Post\Why I’ve come to think global priorities research is more important than I thought
Post\My personal cruxes for working on AI safety
Post\A case for the effectiveness of protest
Post\Causal diagrams of the paths to existential catastrophe
From https://github.com/PolicyDesignEvaluationLab/teaching-credibility: Avoiding problems associated with and|or blamed for replication and reproducability crises, through (3) file management (4) literate programming (5) version control
Dissemination
Analysis
https://effectivethesis.org/resources/https://github.com/PolicyDesignEvaluationLab/teaching-credibility
https://github.com/PolicyDesignEvaluationLab/teaching-credibility
Dissemination
Analysis
Post\Reasoning Transparency
https://www.notion.so/Methodology-Expressing-un-certainty-f24813dfabaa41788538a3b36c31fa49; resources offered on p. 14 of https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view; https://blog.givewell.org/2012/08/17/our-principles-for-assessing-evidence/: points to limitations of different pieces of evidence; https://www.openphilanthropy.org/reasoning-transparency: Indicating confidence
Sub-category of 'present findings'?
GoogleDoc\Effective-Research-Teams
Post\Why-EAs-researching-mainstream-topics-can-be-useful
Post\Personal thoughts on careers in AI policy and strategy
Post\Job satisfaction research
Post\Why I’ve come to think global priorities research is more important than I thought
Build simple quantitative models with uncertainty/confidence intervals for answering some China or GC-related question(s)
Perform "improvement research" in the EA Ch GPC field
Meta
Core underlying framework for many EAs; helps better reflect on your own views, epistemics,etc; framework for improving your state of knowledge and understanding
https://www.lesswrong.com/posts/64FdKLwmea8MCLWkE/the-neglected-virtue-of-scholarship
Post\Reasoning Transparency
Post\Research principles
Textbooks: In Defense of Objective Bayesianism by Jon Williamson; Bayesian Epistemology by Luc Bovens and Stephan Hartmann; Bayes Rules! An Introduction to Applied Bayesian Modeling Videos: Courses: Examples of applying bayesian thinking: https://blog.givewell.org/2011/08/18/why-we-cant-take-expected-value-estimates-literally-even-when-theyre-unbiased/; https://blog.givewell.org/2009/12/05/a-conflict-of-bayesian-priors/; https://www.charityentrepreneurship.com/prior-view.html
Critical thinking; Independent thinking; Analytical mindset; Good Judgement; Connecting ideas; Failing fast; Valuing quality and correctness; https://www.notion.so/Analysis-Compare-alternatives-with-equal-rigor-f16e8ad0291a4288a874e129b325a59d; Keep reflecting on the research process; Always reach conclusions; Writing well Probalby also https://www.notion.so/Meta-Bayesian-thinking-79d1e40417e6460bb368b39cc9d0d540
Meta
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view
Split into sub-categories? Collaborative learning group: go through resources, discuss, maybe design some exercises? Compile resources in a file and share with group for individual consultation and learning
Post\A meta-analysis may not mean much
Post\Research principles
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/view: Research and Thinking Habits
Perform "improvement research" in the EA Ch GPC field
Meta
https://80000hours.org/2020/09/good-judgement/
https://drive.google.com/file/d/13W7KETEa356lsLX3mpiIz64hGk4oru_k/viewhttps://80000hours.org/2020/09/good-judgement/
https://80000hours.org/2020/09/good-judgement/
Post\Fox vs. Hedgehog
https://80000hours.org/2020/09/good-judgement/
Meta
GoogleDoc\Compilation of thoughts on impact-oriented interdisciplinary research
Post\How to do important research
Report\Deciphering China's AI Dream
Map out how different academic disciplines can add to the study of China and/or global cooperation
Meta
For human cooperation generally: https://80000hours.org/articles/coordination/
https://80000hours.org/articles/coordination/
Mostly through practice? But also, of course: reading relevant articles on the topic, talking to experienced researchers
https://80000hours.org/articles/coordination/
Research collaboration
I link articles discussing the importance of Chinese or other foreign language skills and techniques for acquiring these skills here
Meta
https://80000hours.org/articles/china-careers/: "Some particularly good resources on language learning include: Scott Young, who focused especially on Chinese in this post and this one. Tim Ferriss, who has written several great posts on how to rapidly learn languages, such as this one. Fluent Forever Our general advice on learning how to learn. A reader also recommended Hacking Chinese." (links provided on the page, couldn't transfer them here)
Podcast\China, its AI dream, and what we get wrong about both
Meta
Preparation
Among others (keeps getting mentioned): https://www.lesswrong.com/posts/RKz7pc6snBttndxXz/literature-review-for-academic-outsiders-what-how-and-why-1#The_Document_Universe
Low
Read articles/comments on it; speak to people who often provide feedback; reflect on giving feedback yourself; just try it out
Post\Should surveys about the quality/impact of research outputs be more common?
Written for computer programming but can be repurposed for asking questions more generally: http://www.catb.org/~esr/faqs/smart-questions.html
Providing feedback to each other's work/ideas
Tool
No personal experience; unsure of value
https://effectivethesis.org/resources/
Tool
No personal experience; unsure of value
https://effectivethesis.org/resources/
https://docs.google.com/document/d/1wdoL_fv0lrqLncEBNOIga80hrnSqOmZIgIJwoekwlNU/edit#heading=h.2odt453ycabb
Tool
https://www.notion.so/Prep-Effective-note-taking-bab971ad224f49cf8632b4b6b7903318
Used for building simple quantitative models that have uncertainty/confidence intervals
Tool
Will's comment in GoogleDoc (https://docs.google.com/document/d/12y7FPz8mq0Wy3jtsFdwwuKFQyVi0jFbiYsMcQPM8o-k/edit)
There's a workshop recording, linked in Will's comment; not supposed to be shared publicly though
Build simple quantitative models with uncertainty/confidence intervals for answering some China or GC-related question(s)
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Lorem ipsum
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