Positions available: 3

We are changing the way people experience their data. Note I didn't say "Analyze", "Understand", "Mine", "Share", "Govern", "Explain", "Visualize" or any of the other countless verbs used to describe our data interactions. That's because we are changing all of them.

Immersion Analytics (IA) Visualizer is a next-generation data & content visualization platform for experiencing modern datasets. Unlike classic analysis like Charts, Dashboards, PCA Analysis or AI / Machine Learning, Immersion Analytics’ patented Dimensional Engine(TM) helps data stakeholders increase both their productivity and data comprehension by varying the intensity of numerous special effects about each data point in 2D, 3D and Immersive space. As a result, what would have required 3,060 unique plot combinations across many dashboards can now be understood via one simplified visualization - which helps analysts see the whole data picture. This is transformative for keeping human beings and human intuition in the loop for unlocking insights from modern data. It also improves collaborating, understanding and explaining formerly complex topics with ease.

What we need is a team of entrepreneurial students to experience what we have created, watch others use what we have created....and then describe and quantify the benefits around what we have created. In its simplest form, this is an A/B comparison between our new process and a number of older ones. Given this scope of work, your team needs three skills: 1) Social scientists to design and conduct human tests/experiments 2) Computer scientists to code the process for easily gathering data from numerous tests 3) Data scientists to create and analyze data used in and created during the experiments. The final team deliverable will be publishing a scholarly peer reviewed article paired with either a presentation or a video about what you learned. We will support you every step of the way, but these deliverables will be yours to use as you see fit - post them online, link them to your resume, share them with future employers. And don't forget to get our recommendations for all your good work.

PROJECT GOAL:

• Generate data comparing and quantifying two or more methods for gaining insights from a series of data sets and data tool outputs.
• For example, tool output might include brute force pair-wise plots, PCA (principal component analysis), regression and machine learning - but the choice will be made with your input.
• Test metrics might be both quantitative and qualitative: time to complete sections, number of insights, accuracy of data insights, impressions and feedback, etc.

We see the project work breaking down into four (4) sprints:

1) PREPARATION:

• Find or create interesting data set(s) that will work for this project - define criteria
• Learn to use Visualizer software
• Use multiple tools, including Visualizer, brute force, PCA, ML, IA, etc to define the test "answers" and desired insights
• Start to create the artifacts we will use in the tests.

2) TEST DESIGN AND IMPLEMENATION:

• Design tests that each subject will experience - ensuring they are easy to repeat quickly and consistently
• Define the exact test metrics and process for gathering subject's data
• Define a control between subjects
• Iterate data set design to mesh within the test criteria
• Recruit test takers

3) PERFORM TESTS AND COLLECT AND ANALYZE DATA:

• Gather the data - both quantitative and qualitative
• Analyze the data

4) REPORTS AND DELIVERABLES

• Create visualizations to explain the data
• Create either a presentation or short video to show the test process and outcomes --- include comments from the test participants
• For videos, the team will plan a storyboard, write a script, and create the visuals. We will help you to produce a professional-looking video. (Please Download the Link below too see one of our Company Videos - 426MB)
• Work with the IA team to write a scholarly report on the outcomes for peer review and publication.

This is a very important project for our company so students will have direct access to three of our C-level executives on a regular basis:

• Andrew Shepard: Chief Growth Officer and project leader for this Internship
• Bob Levy: Company founder and CEO
• Aaron Moffatt: CTO

The internship will be front-end loaded. The project will begin with a kickoff meeting. Regular meetings will start with daily standups to help provide support and project clarity. These will transition to weekly sprints with clear deliverables and structured discussions. Each of the four(4) project sections will have its own update and larger discussion to adjust to the teams learnings and feedback. We will then refocus the projects timing and deliverables accordingly.