šŸ’”
EA market testing (public)
  • Introduction/overview
    • Introduction & explanation
    • šŸ‘‹Meet the team
    • šŸ“•Content overview
    • Progress/goals (early 2023)
      • EAMT progress & results
      • Goals, trajectory, FAQs
  • šŸ¤Partners, contexts, trials
    • Introduction
    • Giving What We Can
      • Pledge page (options trial)
      • Giving guides - Facebook
      • Message Test (Feb 2022)
      • YouTube Remarketing
    • One For the World (OftW)
      • Pre-giving-tues. email A/B
        • Preregistration: OftW pre-GT
    • The Life You Can Save (TLYCS)
      • Advisor signup (Portland)
    • Fundraisers & impact info.
      • ICRC - quick overview
      • CRS/DV: overview
      • šŸ“–Posts and writings
    • University/city groups
    • Workplaces/orgs
    • Other partners
    • Related/relevant projects/orgs
  • 🪧Marketing & testing: opportunities, tools, tips
    • Testing Contexts: Overview
    • Implementing ads, messages, designs
      • Doing and funding ads
      • Video ads/Best-practice guidelines
      • Facebook
      • Targeted ad on FB, with variations: setup
    • Collecting outcome data
      • Facebook ads interface
        • Pivot tables
      • Google analytics interface
      • Google A/B, optimize interface
      • Reconciling FB/GA reports
      • Survey/marketing platforms
    • Trial reporting template
  • šŸŽØResearch Design, methodology
    • Methods: Overview, resources
    • "Qualitative" design issues
    • Real-world assignment & inference
      • Geographic segmentation/blocked randomization
      • Difference in difference/'Time-based methods'
      • Facebook split-testing issues
    • Simple quant design issues
    • Adaptive design/sampling, reinforcement learning
    • 'Observational' studies: issues
    • Analysis: Statistical approaches
  • 🧮Profiling and segmentation project
    • Introduction, scoping work
    • Existing work/data
      • Surveys/Predicting EA interest
      • Awareness: RP, etc.
      • Kagan and Fitz survey
      • Longtermism attitudes/profiling
      • Animal welfare attitudes: profiling/surveying
      • Other data
    • Fehr/SOEP analysis... followup
      • Followup with Thomas Ptashnik
    • Further approaches in progress
      • Profiling 'existing traffic'
  • šŸ“‹(In)effective Altruistic choices: Review of theory and evidence
    • Introduction...
    • The challenge: drivers of effective/ineffective giving
      • How little we know...
    • Models, theories, psych. norms
    • Tools and trials: overview
      • Tools/interventions: principles
      • Outcomes: Effective gift/consider impact)
        • (Effectiveness information and its presentation)
        • (Outcome: Pledge, give substantially (& effectively))
          • (Moral duty (of well-off))
        • Give if you win/ conditional pledge
      • Academic Paper Ideas
  • Appendix
    • How this 'gitbook' works
      • Other tech
    • Literature: animal advocacy messaging
    • Charity ratings, rankings, messages
    • "A large-scale online experiment" (participants-aware)
  • Innovationsinfundraising.org
Powered by GitBook
On this page

Was this helpful?

Edit on GitHub
Export as PDF
  1. (In)effective Altruistic choices: Review of theory and evidence
  2. Tools and trials: overview

Academic Paper Ideas

A description of our most promising academic paper ideas based on the opportunities we have so far

PreviousGive if you win/ conditional pledgeNextHow this 'gitbook' works

Last updated 2 years ago

Was this helpful?

Why list these here? By identifying specific hypotheses (for an academic paper), it will help:

  1. Generate ideas for non-profits to test

  2. Avoid indecision about what ideas to try

  3. Keep those of us with academic publishing incentives motivated

In sum, to give us some direction and focus.

Current ideas for papers are summarized in embedded. The document is divided into:

  • one section for each idea we have fleshed out, so far... (at Oct 23, this includes):

    • shared community insight framing

    • Donor responses to ā€œquantitative ā€˜per dollar’ impact informationā€ and presentations of this (DR added)

    • warm glow (DR: 'internal reward) from effectiveness

  • a list of others' ideas and general themes we have yet to flesh out

  • some classic ideas we could test (as an alternative to developing novel hypotheses)

Here's the doc:

šŸ“‹
this google doc
(link HERE to edit or comment within)