When we talk about reproducibility, what are we talking about?

The reproducibility crisis, a significant challenge in fields like biology, chemistry, and artificial intelligence, compels us to confront a fundamental question: Can we truly trust the outcomes of scientific research? Reproducibility, the cornerstone of scientific credibility, necessitates that experiments conducted under similar conditions and methodologies yield statistically indistinguishable results.

Vector Distinguished Lecture Series will be held remotely. We look forward to welcoming everyone in-person at Vector’s new office space soon. Our talks will continue to be streamed online for those not able to come in-person.

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About the series:

The Vector Distinguished Talk series is a formal gathering of academic and industrial data scientists across the Greater Toronto Area (GTA) to discuss advanced topics in machine learning and its goal is to build a stronger machine learning community in Toronto.

The talks will be given by international and local faculty and industry professionals. The seminar series is intended for university faculty and graduate students in machine learning across computer science, ECE, statistics, mathematics, linguistics, and medicine, as well as PhD-level data scientists doing interesting applied research in the GTA. The Toronto machine learning community will be stronger when we know each other and know what problems people are working on. At the end of each talk there will also be an opportunity to have in-person meetings with the speaker.

Vector Distinguished Lecture Series is currently being held remotely. We look forward to welcoming everyone in-person at Vector’s new office space soon. Our talks will continue to be streamed online for those not able to come in-person.

Register here!

This event is open to the public with emphasis on graduate students in machine learning, computer science, ECE, statistics, mathematics, linguistics, medicine, as well as PhD-level data scientists in the GTA.