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 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

More information 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.

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 a Unique Application
  • 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. Faezah Soleimani
Dr. Faezeh Soleimani

Co-ambassador

Roza AceskaDr. Roza Aceska

Co-ambassador

Munni Begum
Dr. Munni Begum

Co-ambassador

Justin MurrayDr. Justin Murray

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