all resources generated and organized by Sakata/Mori team members.
We started in 2009, and our research lab, now in its 14th year of operation, combines insights into economics and society with advanced analytical methods. Our goal is to pioneer new frontiers in the field of technology management and become one of the world's top teams. In terms of analytical methods, we focus primarily on data science techniques such as machine learning, deep learning, network analysis, and natural language processing, which are also expected to be valuable in the field of technology management. Additionally, we emphasize fundamental research related to these methods.
curated lists("awesome"), review repositories, and many more.
If you are a member of Sakata-Mori Lab, start by setting up the server. You can see sample code in our repositories:
- Science of Science includes:
- processing Scopus data
- detect field
- clustering
- Computational Social Science:
- Network Science:
- Twitter Analysis:
New comment will be added at the end of each reading group. Reading meetups will be held every other week. Prevailing or attracting Datasets, Tools, Theses, and Researchers are the main entry to be added.
If you are interested in conducting any reviews or summaries, use this template Notice: You must add one-line summary of your review-repositories to Previous Review Repositories section, as well attach the link to them.
Previous Review Repositories
- Sleeping Beauty by T.Miura - Sleeping beautyとは、長い間引用されない時間を経た後に、多くの引用を獲得するようになる論文である。
- Collective Review by C.Miura - 査読者指名の必要も、査読負担もない、集合知による論文の質評価は可能か
- AI-supported Reserach Exploration by T.Miura - 機械学習・統計数理を用いて研究における仮説探索や発見支援を行う
- Urban Diversity by S.Kishimoto - 都市の多様性に関する研究
- by
If you are interested in conducting any projects with one or more lab members, use this template
Splints include but not confined to:
- Readings - 厚くて、むずくて手がでない書籍や論文を複数人で分担して読み解きましょう。
- HandsOn - 気になるライブラリ、ソフトウェア、データセットを使ってみる会を開催します。
- LabEnvironment - 研究の生産性に直結する研究室の環境改善のアイデアを提示しましょう。
Previous Splints
We're excited that you're considering contributing to our work. This project thrives because of the energy and dedication of our contributors. Before jumping in, let's go over some guidelines that will ensure a smooth and productive collaboration.
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Be Respectful: We prioritize creating an open and inclusive environment for everyone. Therefore, we enforce a policy of absolute respect. Rudeness, offensive comments, or any form of harassment will not be tolerated. Always keep the discussion focused on the task at hand, and remember that everyone is here to learn and grow.
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Communication: Clear communication is key. If you're uncertain about anything, don't hesitate to ask. When discussing issues or providing feedback, be constructive and provide as much context and detail as possible. It's okay to have disagreements, but always ensure they are about the ideas, not the people.
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Start Small: If you're new to the project, it's a good idea to start with smaller tasks. There are always "good first issues" labelled in our issue tracker, perfect for getting your feet wet.
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Stay Focused: Keep your contributions focused on resolving the issue at hand. If you find a new issue during your work, it's usually best to file a new issue report rather than expanding the scope of your current work.
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Make Clean, Single-Purpose Commits: Make sure each commit you send represents a single change that achieves a single purpose. This makes it easier for others to review your changes.
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Concise Pull Request: Once you're ready to share your changes, create a pull request. In your pull request description, explain what the changes do and attach references if possible. If your pull request fixes an existing issue, be sure to mention it.
Remember, everyone you're working with is a volunteer! Patience and kindness go a long way. We're all here to learn, grow, and help where we can. Thank you for becoming a part of our community!
