colah.github.io Notify me• May 30, 2019essay

Collaboration and Credit Principles

Chris Olah(guest)

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Executive Summary

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Stewarding Collaborative Trust Fair and Nuanced Credit Attribution

4 quotes

Concerns Raised

Erosion of collaborative trust due to poor attribution practices
Unfair treatment of junior, remote, or under-represented researchers
Collaborations failing or teams dissolving over hurt feelings and credit disputes
Diffusion of responsibility in large teams leading to individuals being overlooked

Opportunities Identified

Fostering more productive and positive research environments by building goodwill
Improving fairness and transparency through author contribution statements
Creating stronger incentives for future collaboration by being generous with credit
Reducing honorary authorship and ensuring credit is given for actual contributions

Key Themes

Research Findings4

Many of the most significant papers in machine learning in recent years, such as those for TensorFlow and AlphaGo, have resulted from collaborations of over 20 people.

Author contribution statements are a standard practice in many academic fields and are required by journals such as Nature and PLoS.

Research infrastructure such as Theano, Pytorch, TensorFlow, R, or Genome Analysis Toolkit should be cited when it is significantly built upon.

Datasets such as ImageNet should be cited when used in research.

Topics

Research Collaboration Academic Credit Authorship Scientific Publishing Machine Learning Research Ethics Conflict Resolution Power Dynamics in Academia Citation Practices Team Management TensorFlow AlphaGo Author Contribution Statements Open Science Goodwill

Processed Jul 28, 2026Daily intelligence brief → yt-dlp + mlx-whisper + Gemini

Collaboration and Credit Principles

Continue your research

Concerns Raised

Opportunities Identified

Key Themes

Stewarding Collaborative Trust

Fair and Nuanced Credit Attribution

Proactive Communication and Process

Addressing Power Dynamics

Conflict Resolution and Citation Ethics

Research Findings4

Topics