Schmidt DataX accelerates Princeton researchers’ use of artificial intelligence and machine learning to explore questions at the frontiers of human knowledge.
Research and Impact
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DataX - Princeton Research Computing Consulting Sessions
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Princeton Research Computing (PRC) and DataX sponsor consulting sessions with DataX data scientists in the fields of artificial intelligence, machine learning and data science. Click HERE for more information.
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Videos: DataX Data Scientists Pranay Anchuri, Amy Winecoff, and Andrzej Zuranski discuss their Role and Impact in Research
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Access their videos HERE.
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Videos: DataX Data Scientists Brian Arnold and Jose Garrido Torres discuss their Role and Impact in Research
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Access their videos HERE
Upcoming Events
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July 28, 2022 | The Reproducibility in ML-based Science
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The use of machine learning (ML) methods for prediction and forecasting has become widespread across the quantitative sciences. However, there's a reproducibility crisis brewing. Indeed, we found 20 reviews across 17 scientific fields that find errors in a total of 329 papers that use ML-based science. Hosted by the Center for Statistics and Machine Learning at Princeton University, our online workshop provides an interdisciplinary venue for diagnosing and addressing reproducibility failures in ML-based science.
We especially welcome researchers outside traditional ML fields who are interested in applying ML methods in their own fields. Participants will learn to identify reproducibility failures in their own fields and ensure that their research is reproducible. Through our interdisciplinary workshop, we will:
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Highlight the scale and scope of the crisis in ML-based science.
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Identify root causes of the observed reproducibility failures and explain why they have occurred in dozens of fields that adopted ML methods.
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Make progress towards solutions by outlining a concrete research agenda for reproducibility in ML-based science.
More information and registration details can be found at this link.
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Past Events and Workshops
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June 2-3, 2022 | Synthetic Control Methods
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Presented by Matias Cattaneo, Professor of Operations Research and Financial Engineering
Synthetic controls are widely applied to estimate the effects of policy interventions and other treatments of interests. The DataX Workshop on synthetic control methods seeks to provide an introduction to synthetic control methods for non-experts as well as an opportunity for researchers working on synthetic control methods to communicate new results, reach audiences outside their primary disciplinary fields, and seek potential collaborations.
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May 13-14, 2022 | Tutorial Workshop on Machine Learning for Experimental Science
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Presented by
- Michael Churchill - Staff Research Physicist, PPPL
- Hantao Ji - Professor, Astrophysical Sciences
- William Tang - Principal Research Physicist, PPPL
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Bridging the Gap Between Your Laptop and Cloud Computing
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Presented by:
- Jose Garrido Torres, Data Scientist
- Vineet Bansal, Senior Research Scientist at Princeton Research Computing
