Midwest Big Data Summer School

May 16, 2022 - 12:00 AM
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Midwest Big Data Summer School

The Midwest Big Data Summer School for Early Career Researchers is designed as an intensive curriculum aimed at practitioners and researchers to get them started in data-driven research and development. Please use this link for more information and check periodically for updates and final schedules:

https://tads.research.iastate.edu/midwest-big-data-summer-school

TUTORIALS:  Introduction to Data Science - Data Science Using R - Mathematics of Data Science - Visualization - Introduction to Deep Learning

TRACKS:  Fairness and Accountability in Data Science - Digital Agriculture - Data Mining and Machine Learning.

REGISTRATION IS OPEN!

Student Registration - 
Early Registration (Before April 22): $75
Regular Registration (April 23 - April 30): $100
Late Registration (May 1 - May 13): $125

Non-Student Registration - 
Early Registration (Before April 22): $125
Regular Registration (April 23 - April 30): $175
Late Registration (May 1 - May 13): $200

If you would like to present a poster at the Summer School, please register before April 29th, 2022.

Venue: The Midwest Big Data Summer School will held be in-person at Iowa State University, from May 16th - May 19th, 2022. 

Tentative Schedule

May 16th:

  8:30 AM: Opening Remarks

  8:45 AM - 10:00 AM: Invited Talk, Natural Language Trends in Visual Analysis, Dr. Vidya Setlur, Tableau Research

  10:00 AM - 12:00 PM: Introduction to Data Science with Python, Dr. Hongyang Gao

  1:30 PM - 4:30 PM: Data Science with R, Dr. Heike Hoffman

May 17th:

   9:00 AM - 11:00 PM: Mathematics of Data Science, Dr. Man Basnet

   11:00 AM - 12:00 AM: Invited Talk, Robust Routing Using Electrical Flows, Dr. Ali Sinop, Google Research

   1:30 PM - 4:30 PM: Introduction to Data Visualization, Dr. Heike Hoffman

May 18th:

    9:00 AM - 12:00 PM: A Deep Dive into Deep Learning Algorithms and Architectures by Dr. Aditya Balu

    1:30 PM - 4:00 PM: A Deep Dive into Deep Learning Algorithms and Architectures by Dr. Aditya Balu

 

May 19th - Tracks (Concurrent):

      Fairness and Accountability in Data Science

8:30 AM - 10:00 AM: Facilitating Public Trust in Automated Decision-Making: A Los Angeles Police Department (LAPD) Case Study by Dr. Shannon Harper.

10:30 AM - 12:00 PM: Learning Twitter Policy Agenda of State Legislatures by Dr. Wallapak Tavanapong and Dr. David Peterson

1:30 PM - 3:00 PM: Challenges in Content Moderation: detecting disinformation, hate speech, and offensive imagery by Dr. Matthew Lease

3:15 PM - 4:45 PM: TBA

      Digital Agriculture

8:30 AM - 10:00 AM: From 3D optical sensing to 4D hyperspectral imaging , Dr. Beiwen Li

10:30 AM - 12:00 PM: Deep Learning and Computer Vision in Agriculture by Mr. Harman Singh Sangh

1:30 PM - 3:00 PM: YOLOv5 Custom Training Tutorial for Object Detection by Ryan Jeon

3:15 PM - 4:45 PM: TBA by Dr. Santosh Pandey and Yunsoo Park

      Data Mining and Machine Learning

8:30 AM - 10:00 AM: Genomic data resources and data mining for everyone by Dr. Krishna Kalari

10:30 AM - 12:00 PM: Multimodal Computer Vision: Foundations, Applications, and Societal Implications by Dr. Chris Thomas

1:30 PM - 3:00 PM: Harnessing AI for Software Testing and Repair by Dr. Myra Cohen

3:15 PM - 4:45 PM: Information Surgery: Faking Multimedia Fake News for Real Fake News Detection by Dr. Heng Ji

Registration questions: