2020 Workshops

Workshops are in-depth interactive presentations that allow attendees to work with an expert in a specific field to gain data analytics experience.  These events are designed for smaller crowds and participants are advised to bring laptops or other equipment, as suggested by the workshop moderator.

See below for a full list of SSAC20’s topics!

2020 MIT SLOAN SPORTS ANALYTICS CONFERENCE Workshop

Description

9:45 AM – 10:45 AM, Saturday, March 7
Research Papers Room

The technologies that are used to gather data, statistics, information and more are growing and changing at a fantastic rate. Just having this information doesn’t help anyone if they can’t access it and make use where they are. This means web and mobile access that is fully integrated with all of these technologies including AI and machine learning is key. Not only do you need to access the data, you should be able to see everything in one place. Come to this session to learn how OutSystems Low-code platform enables you to easily build web and mobile applications to surface vital information to all of your users.

Speakers
Description

11:00 AM – 12:00 PM, Saturday, March 7
Research Papers Room

In January 2020, MLB unveiled Infield Outs Above Average, a first look at to answering the question of how to analyze an infielder’s defensive prowess. This workshop takes you behind the scenes of Infield Outs Above Average. This session will show how to use SQL to aggregate and process data used for the generation of Infield Outs Above Average, Statcast’s most anticipated metric to date!

Attendees should come with either MySQL or Microsoft Access installed and downloaded prior to the workshop.

Speakers
Description

12:15 PM – 1:15 PM, Saturday, March 7
Research Papers Room

In this workshop, we will explore NFL player tracking data (Next Gen Stats) and provide examples on how to calculate various metrics and create visualizations using R.

Note that attendees will need to have R/RStudio already installed on their personal laptops to be able to follow along. All levels of programming experience are welcome! Techniques and code from this workshop can be applied to various types of NFL player tracking data. However, only currently publicly available data from the NFL will be used. 
 
Speakers
Description

1:30 PM – 2:30 PM, Saturday, March 7 
Research Papers Room

In this session, we will explore roster construction through mixed-integer optimization. Using individual NBA player characteristics, we will formulate an optimization problem that constructs the ideal national basketball team subject to various constraints on team composition. This example will introduce a general framework for how to formalize various strategic problems (e.g. scheduling, pricing, staffing) as optimization models.  These models will be implemented using JuMP in the Julia programming language. No prior experience with Julia is necessary.

If you are interested in this session, please take a look at Holly’s GitHub to download relevant code/data.

Speakers