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Showing posts with the label science of science

2026-07-18: ICSSI 2026 - Trip Report from Boulder, Colorado

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  From June 29 to July 1, 2026, I attended the 5th International Conference on the Science of Science and Innovation (ICSSI 2026) in Boulder, Colorado. The conference was hosted jointly at the Limelight Hotel and the University of Colorado Boulder . ICSSI brings together researchers who study science itself, including how discoveries happen, how careers are built, how funding shapes research, and how AI is changing all of these. The conference was supported by the US National Science Foundation , the Alfred P. Sloan Foundation , Digital Science , Cevian Labs , and the BioFrontiers Institute . If you are new to the field, “ science of science ” (or metascience ) is the study of science itself, using data, network analysis, and computational methods to understand how research careers, collaborations, and ideas develop over time. Dashun Wang 's The Science of Science is a good introduction if you want an overview before reading the rest of this post. This year's edition felt ...

2024-07-05: Trip report: the 3rd International Conference on Science of Science and Innovation (ICSSI)

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The 3rd International Conference on Science of Science and Innovation (ICSSI) is held at the National Academy of Sciences in Washington D.C. between July 1 and July 3, 2024. I attended the conference for the first two days and gave a contributed talk titled Toward Long-term Computational Reproducibility: Assessing the Archival Rate of URIs to Git Hosting Platforms in Scholarly Publications .  ICSSI is an annual premier conference on Science of Science and Innovation, which started in 2022. I attended the first ICSSI , which was also at the National Academy of Sciences. The second ICSSI was at Northwestern University, Chicago, IL. The conference was initiated by several leaders in this field including Dr. Dashun Wang (University of Northwestern) and Dr. James Evans (University of Chicago). Different from many conferences in Computer and Information Sciences (e.g., ACM SIGIR, IEEE Big Data), this conference does not produce proceedings and it accepts submissions of published work...