
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 Hybrid Workshop
The WiDS Datathon workshops are designed to support participants in the WiDS Datathon, an annual data science competition that encourages collaboration and learning among women and their allies worldwide. Upon completion, participants shall be awarded a certificate. The workshop is available in-person and virtual modalities. This year, there are only 40 in-person slots. The workshops aim to:
- Provide Guidance on the Competition
- Enhance Data Science Skills
- Foster Collaboration and Networking
- Encourage Participation from All Levels
- Promote Diversity in Data Science
Learn more about the WiDS Datathon.
Register
Everyone is invited to attend the WiDS Datathon Workshop at Ball State. 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. To view past events click here.
Workshop Schedule
WiDS Datathon Workshop
Date & Time: March 27, 10:00-4:00 pm (EST)
Location: Pineshelf Room, L. A. Pittenger Student Center
Mode: Hybrid
Brief Agenda:
- 10:00-10:30 Introduction: Dr. Faezeh Soleimani, Assistant Professor of Mathematical Sciences
- Title: WiDS Datathon and Data Science Skills Needed for the Challenge
- 10:30-11:15 Keynote speaker: Dr. Rasitha Jayesekere, Associate Professor of Statistics and Actuarial Science, Butler University
- Title: Mixture Model in Action: Exploring its Role in Unique Applications
- 11:15-11:20 Break
- 11:20-11:50 How to register for the Datathon: Dr. Roza Aceska
- 11:50-12:50 Lunch
- 1:00-1:55 Training Session 1: Dr. Drew Lazar
- Topic: Introduction to Python and R
- 1:55-2:00 Break
- 2:00-2:55 Training Session 2: Dr. Steve Guo
- Topic: Data Management, Data Wrangling, and Data Cleaning
- 2:55-3:00 Break
- 3:00-3:55 Training Session 3: Dr. Hazem Al-Mofleh
- Topic: Data Exploration and Visualization
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.
Data Mine Program
Local Organizing Committee
Ambassador

Dr. Faezeh Soleimani
Co-ambassador
Dr. Roza Aceska
Co-ambassador

Dr. Munni Begum
Co-ambassador
Dr. Justin Murray
Co-ambassador

Dr. Steve Guo
Co-ambassador

Dr. Drew Lazar
Co-ambassador

Dr. Rebecca Pierce
Co-ambassador

August Roberson