WiDS Logo

Women in Data Science Muncie at Ball State University is independently organized by Ball State University to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.

The Women in Data Science initiative, WiDS, was launched at Stanford University in 2015 and has grown to include 200+ conferences, events, a global datathon, a podcast series, WiDS Academy, a Next Gen outreach program, and an UpLink platform. With over 150,000 participants in over 160 countries, WiDS Worldwide is a fiscally sponsored project under Community Initiatives. 

WiDS Workshop

We are thrilled to launch the WiDS Datathon competition, where we will dive into a real-world dataset containing information about demographics, diagnosis and treatment options, and insurance provided by patients diagnosed with breast cancer from 2015-2018.

Problems engage data enthusiasts of all levels. Specifically, participants will work on developing a model to predict if the time for a patient to receive their first diagnosis treatment is within a specific timeframe.

More information about the WiDS Datathon.

Register

The events below welcome individuals of all genders and are not limited to women. Additionally, they are supported by the Department of Mathematical Sciences, the Department of Computer Science, the College of Sciences and Humanities, and the BSU Career Center.

Workshop Schedule

Workshop I

WiDS Datathon Workshop I: Kick Off, Datathon Registration and Networking

Date & Time: April 11, 3:30-5:30 pm (EST)
Location: Student Center Multi-Purpose Room
Mode: Hybrid

Brief Agenda:

WiDS Datathon Workshop II: Introduction to 2024 Datathon Problem, Training and Hands-on Sessions

Date & Time: April 18, 3:30-5:30 pm (EST)
Location: Student Center Pineshelf Room
Mode: Hybrid

Brief Agenda:

WiDS Datathon Workshop III: 2024 Datathon Team Formation, Training and Hands-on Sessions

Date & Time: April 25, 3:30-5:30 pm (EST)
Location: Bracken Library, BL 104
Mode: Hybrid

Brief Agenda:

Join us on a journey where mathematics meets data science! Our esteemed faculty members in the Department of Mathematical Sciences are at the forefront of applying rigorous mathematical principles to unravel complex data challenges.

Local Organizing Committee

Ambassador

Dr. Faezah Soleimani
Dr. Faezeh Soleimani

Co-ambassador

Roza AceskaDr. Roza Aceska

Co-ambassador

Munni Begum
Dr. Munni Begum

Co-ambassador

Colton G
Colton Gearhart

Co-ambassador

Steve Guo
Dr. Steve Guo

Co-ambassador

Drew Lazar
Dr. Drew Lazar

Co-ambassador

Rebecca Pierce
Dr. Rebecca Pierce

Co-ambassador

Roberson August
August Roberson