DATA SCIENCE INITIATIVE

The NICO Reading Group is a community of individuals who are passionate about the intersection of complexity, data science, machine learning, and deep learning. We are an interdisciplinary and cross-departmental group, comprising staff, faculty, undergraduates, and graduate students from various schools and departments, including Kellogg, McCormick, Feinberg, and Weinberg. Our backgrounds range from data science, mechanical engineering, material science, computer science, physics, and mathematics.

Our discussions focus on fundamental and state-of-the-art techniques in complexity science and deep learning, covering topics such as data science, deep learning, AI for scientific knowledge discovery, computational modeling, and material design. We strive to create a welcoming and inclusive environment in which everyone can contribute to the discussion, regardless of their level of expertise.

Our goal is to foster mutual understanding and personal connections among people from different schools and departments who share a common interest in complex science and AI.

For more information, contact Xiaoyu Xie at XiaoyuXie2020@u.northwestern.edu

Meeting Times:

Date: Every Thursday during the 2023 winter and spring quarters.
Time: 5-6pm
Place: Mudd Library or the Garage.  This location changes weekly.  Please contact Xiaoyu Xie for the specific location.

Our spring speaker series starts April 12, 2023, running each Wednesday through May 24. We will announce speakers in early April.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: A Zoom link will be provided

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

The NICO Reading Group is a community of individuals who are passionate about the intersection of complexity, data science, machine learning, and deep learning. We are an interdisciplinary and cross-departmental group, comprising staff, faculty, undergraduates, and graduate students from various schools and departments, including Kellogg, McCormick, Feinberg, and Weinberg. Our backgrounds range from data science, mechanical engineering, material science, computer science, physics, and mathematics.

Our discussions focus on fundamental and state-of-the-art techniques in complexity science and deep learning, covering topics such as data science, deep learning, AI for scientific knowledge discovery, computational modeling, and material design. We strive to create a welcoming and inclusive environment in which everyone can contribute to the discussion, regardless of their level of expertise.

Our goal is to foster mutual understanding and personal connections among people from different schools and departments who share a common interest in complex science and AI.

For more information, contact Xiaoyu Xie at XiaoyuXie2020@u.northwestern.edu

Meeting Times:

Date: Every Thursday during the 2023 winter and spring quarters.
Time: 5-6pm
Place: Mudd Library or the Garage.  This location changes weekly.  Please contact Xiaoyu Xie for the specific location.

The NICO Reading Group is a community of individuals who are passionate about the intersection of complexity, data science, machine learning, and deep learning. We are an interdisciplinary and cross-departmental group, comprising staff, faculty, undergraduates, and graduate students from various schools and departments, including Kellogg, McCormick, Feinberg, and Weinberg. Our backgrounds range from data science, mechanical engineering, material science, computer science, physics, and mathematics.

Our discussions focus on fundamental and state-of-the-art techniques in complexity science and deep learning, covering topics such as data science, deep learning, AI for scientific knowledge discovery, computational modeling, and material design. We strive to create a welcoming and inclusive environment in which everyone can contribute to the discussion, regardless of their level of expertise.

Our goal is to foster mutual understanding and personal connections among people from different schools and departments who share a common interest in complex science and AI.

For more information, contact Xiaoyu Xie at XiaoyuXie2020@u.northwestern.edu

Meeting Times:

Date: Every Thursday during the 2023 winter and spring quarters.
Time: 5-6pm
Place: Mudd Library or the Garage.  This location changes weekly.  Please contact Xiaoyu Xie for the specific location.

The NICO Reading Group is a community of individuals who are passionate about the intersection of complexity, data science, machine learning, and deep learning. We are an interdisciplinary and cross-departmental group, comprising staff, faculty, undergraduates, and graduate students from various schools and departments, including Kellogg, McCormick, Feinberg, and Weinberg. Our backgrounds range from data science, mechanical engineering, material science, computer science, physics, and mathematics.

Our discussions focus on fundamental and state-of-the-art techniques in complexity science and deep learning, covering topics such as data science, deep learning, AI for scientific knowledge discovery, computational modeling, and material design. We strive to create a welcoming and inclusive environment in which everyone can contribute to the discussion, regardless of their level of expertise.

Our goal is to foster mutual understanding and personal connections among people from different schools and departments who share a common interest in complex science and AI.

For more information, contact Xiaoyu Xie at XiaoyuXie2020@u.northwestern.edu

Meeting Times:

Date: Every Thursday during the 2023 winter and spring quarters.
Time: 5-6pm
Place: Mudd Library or the Garage.  This location changes weekly.  Please contact Xiaoyu Xie for the specific location.

The Data Connection Hub is being created as a transdisciplinary space which builds communication, understanding, and relationships across a variety of stakeholders while also highlighting local community-engaged and participatory data science efforts. Our monthly meetings and the accompanying Slack communities are meant to be broadly inclusive, and we welcome students and faculty from all Chicagoland Institutions, as well as community partners and those who wish to learn more.

This hub is jointly organized by the CONNECT Research Program and the Metropolitan Chicago Data-Science Corps Program.

Sign up here: https://bit.ly/3XkaSKc