| Program Overview | ||
|---|---|---|
| Program Title | Spring 2021 Virtual Data Science Consulting | |
| Organization | College of Arts and Sciences | |
| Student Application Link | https://capsource.app/program/spring-2021-virtual-data-science-consulting-2/rfp | |
| # of Students Enrolled |
12
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| # of Projects Running |
6 Project/s Added (of Expected)
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Program Timeline Project Duration |
Start Date: 01/18/21 End Date: 04/23/21 3 months |
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| Collaboration Overview | ||
|---|---|---|
| About Students |
Masters students in Math (Masters in Data Science) and Computer Science build expertise in real life Data Analytics.
Student Level: Student Time Commitment: Full Time Team Structure: - |
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| Program Goals | ||
| Format Structure |
Single Project Single Team |
|
| Format Title | Multiple Projects Multiple Teams | |
| Format Description | ||
| Benefits For Industry Partners | ||
| Project Modality | Fully Remote | |
| Industry Partner Requirements to Participate | ||
|---|---|---|
| Project Topics | Corporate Social Responsibility Data Management Growth Strategy International Affairs Legal, Regulatory, Compliance Marketing Operations Product Design & Development Purchasing, Logistics, Supply Chain Quality Control Reporting, Financial Planning & Analysis Research & Development Sales & Business Development Software Design & Development | |
| Target Industries | ||
| Skills & Expertise | ||
| Location Information & Preferences |
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| Sponsorship |
No Sponsorship Required |
|
| Compensation |
Following compensation will be offered to the students:
Exactly $0.0 per hour |
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| Other Requirements | ||
| Expected Time Commitment For Project Managers | per week | |
| Key Program Dates | Due Date |
|---|---|
|
Request for Proposal published
Collaboration request published. Industry Partners may express interest in participating.
|
Apr 27 2020, 12:00.00 AM |
|
Interview
Educators will begin interviewing interested Industry Partners to discuss project ideas.
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May 23 2020, 12:00.00 AM |
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Proposal Application Deadline
Final date for Industry Partners to express interest in participating.
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Oct 30 2020, 12:00.00 AM |
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Finalize Project Charter
Educators and Industry Partners finalize project charters, legal documents, and background materials.
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Nov 25 2020, 12:00.00 AM |
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Official Program Launch
We’ll find a time on this day for you to meet with the students to kick off your project.
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Jan 18 2021, 12:00.00 AM |
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Official Program End
We’ll find a time on this day for you to meet with the students to wrap up your project.
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Apr 23 2021, 12:00.00 AM |
Project Overview
| Project Details | |
|---|---|
| Project Title | Help Build The Open Source Prediction Network |
| Project Synopsis |
What is the challenge or opportunity you are trying to address within your organization?
We’ve built a network of real-time data and algorithms to make low-cost, high-quality predictions accessible and useful. Getting predictions is as simple as publishing data to our platform where competing, state-of-the art algorithms converge on optimized predictions.
Micropredictions LLC is a subsidiary of Intech Investments, a top five U.S. Equity fund manager by a variety of metrics. Micropredictions LLC is established to foster development of the world's first microprediction network and its use by organizations large and small. We support the open source software development both directly, and through contributor incentives. We host the first node at www.microprediction.org, where you will find an API can be used to predict literally anything. We help companies or organizations get up to speed with usage patterns, including privacy preserving use of public prediction, and the techniques linking repeated prediction and business optimization.
In this project, student would learn how to write and deploy programs that directly address real-time operational problems. These would predict quantities such as electricity (https://www.microprediction.com/competitions/electricity) or cryptocurrency movements.
Students would also be able to create intelligent applications, such as a web page, that uses the turnkey prediction API to drive intelligence, thus pioneering new ways to exploit cheap prediction.
What are some of the activities or action items you think will need to be taken to achieve your desired results? What would make this project a success for your organization? What measurable results are you looking to accomplish? |
| Compensation |
Following compensation will be offered to the students
Exactly $0.0 per hour |
| Sponsorship |
No Sponsorship Required |
| Resources |
Program Timeline
| Touchpoints & Assignments | Date | Type |
|---|---|---|
|
Program Kickoff |
01/18/2021 | Event |
|
Temperature Check Survey #2 Due |
02/04/2021 | |
|
Kickoff Evaluation Due |
05/02/2021 | |
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Kickoff Evaluation Due |
05/02/2021 | |
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Kickoff Evaluation Due |
05/02/2021 | |
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Temperature Check Survey Due |
05/03/2021 | |
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Temperature Check Survey #1 Due |
05/03/2021 | |
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Temperature Check Survey Due |
05/03/2021 | |
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Official Project Launch |
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FINAL PRESENTATIONS |
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End of Term PEER Evaluation |
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Deadline for Students to Register |
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Students Review Onboarding Materials |
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Official Project Launch |
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FINAL PRESENTATIONS |
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End of Term SELF Evaluation |
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End of Term PEER Evaluation |
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End of Term SELF Evaluation |
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Milestone Deliverable #1 Due |
Submission Required | |
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Milestone Deliverable #2 Due |
Submission Required | |
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Milestone Deliverable #1 Due |
Submission Required | |
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Milestone Deliverable #2 Due |
Submission Required | |
|
Milestone Deliverable #1 Due |
Submission Required | |
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Deadline for Students to Register |
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Milestone Deliverable #2 Due |
Submission Required | |
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Students Review Onboarding Materials |
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|
Official Project Launch |
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FINAL PRESENTATIONS |
||
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End of Term SELF Evaluation |
||
|
End of Term PEER Evaluation |
||
|
Deadline for Students to Register |
||
|
Students Review Onboarding Materials |
Projects
| Project | Organization | Topics |
|---|---|---|
| Help build the open source prediction network | College of Arts and Sciences | Data Management Product Design & Development Research & Development Software Design & Development |
| Help build the open source prediction network | Data Management Product Design & Development Research & Development Software Design & Development | |
| Select Machine Learning Framework for Analyzing Data in order to Optimize HVAC Systems | Eco-Enterprise, Inc. | |
| Help build the open source prediction network | Data Management Product Design & Development Research & Development Software Design & Development | |
| Incorporating Machine Learning into Cloud Based HVAC Monitoring System | Eco-Enterprise, Inc. | Corporate Social Responsibility Legal, Regulatory, Compliance Operations |
Program Managers
| Name | Organization |
|---|---|
| Emily Stone | College of Arts and Sciences |
| Javier Perez-Alvaro | College of Arts and Sciences |
Teams
| Team Name | Project Name | Team Members |
|---|---|---|
| No Teams Available |
