DATA SCIENCE NIGHTS @NORTHWESTERN
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Data Science Nights are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Each night will feature refreshments, a talk on data science techniques or applications, and a hacking night with data science projects or learning groups of your choice. Institutional support comes from the Northwestern Institute on Complex Systems (NICO) and the Northwestern Data Science Initiative.

ASPIRING, BEGINNING, AND ADVANCED DATA SCIENTISTS ARE WELCOME!
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We want to promote data science and a personal and scientific exchange between various departments and disciplines. We hope to provide all participants who attend the chance to build a visible reputation by becoming an active member of the Northwestern community. If you would like to join our team of organizers or provide other support or suggestions, please reach out to us online or in person.

Code of conduct (PDF)

Media
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Thank you to Ruiqi Chen for the informative article in the Northwestern Business Review!

Watch this short promotional video created prepared by NUIT.

OrGANIZERS
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In alphabetic order:

Ali Ehlen, Graduate Student, Applied Physics
Jake Martin, Graduate Student, Chemical and Biological Engineering
Ramya Gurunathan, Graduate Student, Material Sciences
Andrew Hall, Graduate Student, Psychology
Rebecca Harmon, Graduate Student, Chemical and Biological Engineering
Sarah Ben Maamar, PostDoc, Chemical and Biological Engineering
Suman Bhandari, Graudate Student, Mechanical Engineering
Thomas Stoeger, PostDoc, Center for Genetic Medicine & NICO
Nicholas Wagner, Graduate Student, Material Sciences

former:
​​Kevin Chao, PostDoc, Center for Optimization and Statistical Learning & NICO
Ben Nelson, PostDoc, Center for Interdisciplinary and Exploratory Research in Astrophysics & NICO 


Contact organizers

Support
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Main support and institutional administration:
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​Further help:
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  • Home
  • About
  • Getting started with data science
  • Data science around campus
  • Archives