Women in Data Science: Chicago
A conference showcasing womxn data scientists in Chicago on Friday, March 12th
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About

Conference Details

Details

Friday, March 12, 5:00-8:00 PM CST

Hands on

Participate in a Datathon for Diabetes diagnosis of ICU Patients

Networking

Opportunity to expand your professional network

Learning

Gain knowledge from your peers and experienced professionals

No Cost!

Yep, that’s right: Free!

Community Led

Community organized, community focused




Mission

WiDS: Chicago is an independent event organized to coincide with the annual Global Women in Data Science (WiDS) Conference held at Stanford University and an estimated 150+ locations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work.




Register

WiDS: Chicago on 312

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Schedule

5:30

6:00

Panel discussion on COVID-19 and Data Science

Panelists:
  • Lucia Petito, Assistant Professor, Department of Preventive Medicine @ Northwestern University
  • Teodora Szasz, Computational Scientist (ML) at UChicago Medicine
  • Dessa Gypalo, Chief Data Officer, Cook County
  • Moderator: Ilana Marcus, NY Times

6:00

6:20

Breakout rooms for deeper, independent small-group discussion on COVID-19 and Data Science

6:20

6:50

Lightning Talks (2-3 minutes each):

Software: Community + Collaboration :
  • Kristi Angel, Grubhub
  • Lorena Mesa, Github
Data Inequity: Inequality in Data Science + the Data Gap
  • Alicia Boyd, PhD Candidate, CS @ DePaul
  • Marynia Kolak, Center for Spatial Data Science, University of Chicago
Novel Application Areas in Data Science
  • Vicky Kalogera, Physics & Astronomy @ Northwestern
  • Marshini Chetty, U Chicago CS
Pathways into Data Science
  • Rebecca BurWei, Relativity
  • Bo Peng, Director of Data Science, IDEO
  • Hanna Parker, Avatria

6:50

7:10

Breakout rooms for small-group discussion with speakers

7:15

8:00

Networking Session via Gathertown

Datathon

Participate in a datathon for social good!


WiDS: Chicago Datathon Workshop is an independent event organized by WiDS Ambassadors in Chicago to coincide with the annual Women in Data Science (WiDS) Worldwide Conference held at Stanford University and an estimated 150+ locations worldwide. Participants can be students, faculty, government workers, members of NGOs, or industry members. The WiDS: Chicago Datathon Workshop will provide guidance on best practices for the datathon and help with team formation.

The WiDS Datathon 2021 will focus on models to determine whether a patient admitted to an Intensive Care Unit (ICU) has been diagnosed with a particular type of diabetes. See the WiDS Conference datathon information page for additional details on the dataset.

  • Dates: The datathon will be held from early January-February 2021 on Kaggle with winners announced on March 8, 2021.
  • Registration: In addition to registering for the Datathon Kickoff in the Eventbrite below, you must register for the WiDS @ Stanford datathon as well.
  • Datathon Kickoff!: Workshop and Team Formation: On January 29th we will be holding an introduction to Kaggle workshop that will also provide time to form teams. Register for the event on the Eventbrite widget below.

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Speakers

Lutfiyya N. Muhammad

Lutfiyya N. Muhammad

Northwestern University - Feinberg School of Medicine Department of Preventative Medicine
Assistant Professor of Biostatistics
Tammy Glazer

Tammy Glazer

DrivenData
Data Scientist
Kristi Angel

Kristi Angel

Grubhub
Senior Decision Scientist
Lorena Mesa

Lorena Mesa

Github
Data Engineer
Lucia Petito

Lucia Petito

Northwestern University Dept. of Preventative Medicine
Assistant Professor
Dessa Gypalo

Dessa Gypalo

Cook County Government
Chief Data Officer
Teodora Szasz

Teodora Szasz

University of Chicago Research Computing Center
Computational Scientist
Alicia Boyd

Alicia Boyd

Depaul University
PhD Candidate,Computer Science
Marynia Kolak

Marynia Kolak

Center for Spatial Data Science, University of Chicago
Assistant Director of Health Informatics
Vicky Kalogera

Vicky Kalogera

Northwestern Dept. of Physics and Astronomy
Daniel I. Linzer Distinguished University Professor
Marshini Chetty

Marshini Chetty

University of Chicago Dept. of Computer Science
Assistant Professor
Rebecca BurWei

Rebecca BurWei

Relativity
Senior Data Scientist
Bo Peng

Bo Peng

IDEO
Data Scientist
Hanna Parker

Hanna Parker

Avatria
Data Scientist

Datathon Mentors

Christina Maimone

Christina Maimone

Northwestern University IT Research Computing Services
Data Scientist
Ross Weijer

Ross Weijer

IDEO
Data Scientist and Senior Designer
Lisa Nash

Lisa Nash

IDEO
Data Scientist and Designer
Ifeoma Ozodiegwu

Ifeoma Ozodiegwu

Malaria Modeling Research Group at Northwestern University
Postdoctoral Fellow
Emily Riederer

Emily Riederer

Capital One
Senior Analytics Manager
Erin Cox

Erin Cox

Novak Group in the Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) at Northwestern University
Postdoctoral Associate
Colby Witherup Wood

Colby Witherup Wood

Northwestern University IT Research Computing Services
Data Scientist



Team

The people putting it together

Abby Smith

Abby Smith

WiDS Ambassador

PhD Candidate in Statistics
Northwestern Women in Statistics (WIST)

Jane Zanzig

Jane Zanzig

WiDS Ambassador

Senior Data Scientist and Designer
IDEO

Abby Stevens

Abby Stevens

WiDS Ambassador

PhD Candidate in Statistics
University of Chicago

Mena Whalen

Mena Whalen

WiDS Ambassador

PhD Candidate in Statistics
Northwestern Women in Statistics (WIST)

Sophie Hu

Sophie Hu

WiDS Ambassador

Masters Student in Data Science
University of Chicago

Kayla Schroeder

Kayla Schroeder

WiDS Ambassador

PhD Student in Statistics
Northwestern University

Varsha Ananth

Varsha Ananth

WiDS Ambassador

Senior Data Scientist
CVS Health

Devanshi Verma

Devanshi Verma

WiDS Ambassador

Masters Student in Data Science
University of Chicago

Zaynaib Giwa

Zaynaib Giwa

WiDS Ambassador

Data Science Coach
Hacking 4 Justice


WiDS Code of Conduct

The Women in Data Science (WiDS) Conference at Stanford University seeks to inspire, educate, and support all participants from across the world in an inclusive, safe, and welcoming environment. We expect and trust that all participants will abide by this Code of Conduct at all WiDS Stanford conference events. Stanford University values integrity, diversity, respect, freedom of inquiry and expression, trust, honesty and fairness and strives to integrate these values into its education, research, healthcare, and business practices. Stanford University is an institution dedicated to the pursuit of excellence and facilitation of an environment that fosters this goal. Central to that institutional commitment is the principle of treating every community member and collaborator fairly and with respect, and embracing diversity and inclusion. Stanford University does not discriminate on the basis of race, religious creed, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, age, sex, sexual orientation, gender, gender identity, gender expression, military status, veteran status, or any other characteristic protected by law. All participants are expected to be considerate, respectful, and collaborative, and will refrain from demeaning, discriminatory, or harassing behavior and speech. Participants are expected to be mindful of their surroundings and of their fellow participants. This means that any intimidating, harassing, abusive or demeaning conduct of any kind will not be tolerated. Notify the WiDS organizer or any WiDS staff member if you are subject to or have observed any such behavior. Participants asked to stop any unacceptable behavior are expected to comply immediately. Participants violating this Code of Conduct may be asked to leave the event at the sole discretion of the organizers. In such cases, no refunds will be given. This Code of Conduct is based on Stanford University Code of Conduct, and works by the Grace Hopper Celebration and the Game Developers Conference.


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