The related datasets include:

1. NORTH AMERICA NEWS SOURCES:
   This database contains News Sentiment analysis of each news for the past years. Participants can query keywords and find the right sentiment index. We have preselected "Exxon" as a relevant indicator.
2. COMMODITY PRICES
   This database covers the global price for Ice Brent Crude Oil, WTI Crude Oil with different measures Change, Volume, Settle, Open, Low and Value.
3. GLOBAL STOCK EXCHANGE DATA
   This dataset comprises daily stock market data from the New York Stock Exchange and covers Exxon, BP and Chevron companies closing prices.
4. STOCK MARKET INDICATORS & INDEX
   This covers the daily index for Dow Jones Transportation, Dow Jones Utility, S&P 500 and others.
5. FINANCIAL STATEMENT
   This is a company’s financial statement published in SEC. It covers the Balance Sheet, Cash Flow and Income Statement.

Submission Deliverables

• Source code required (Python or R)
• Readme on how to run your code and requirements.txt on your development environment
• Datasets used in .zip folder
• CSV of results
• Technical report in PDF with names of all team members and team name required
• Optional is a working prototype like map, web page, apps

Upload your submission here

Evaluation

Impact: What useful business insights are acquired from the proposal? How does this submitted model benefit (or cost) businesses, and what actionable steps are recommended to improve their work?​

Methodology Validity: Document the methodology, mathematics, and economic principles behind the proposal and provide the references or reasoning for your approach. How is the prediction generated and how are the factors weighted sensible? Are the assumptions and limitations of the methodology clearly outlined with suggestions to improve the proposal? Are the quantitative steps of data ingestion, feature engineering, model architecture, and performance optimization valid? How robust is your model?

Reproducibility: Does the solution use coding best practices with workflows and documentation to reproduce one’s work? Are the data ingress and egress pipelines reproducible? Is there a clear presentation of data science work in the documentation?

Usability: Is the information presented in a way that is actionable? Would a member of the general public understand the model, what it means, and what actions to take?

Ability to Deploy: Whether or not getting access to the data is realistic, computation time, whether or not it is a good fit within the existing system, scalability of the system to take into account new data sources, how often it needs to be maintained, score with feasible suggestions, easy to maintain/update, how much manpower, time, resources need to be allocated to maintain the functionality?​

Fair and Ethical Use of Data: Does the solution take into account biases in data? Is the data from open and trusted sources?

Innovation: Will the idea have a big impact? How innovative is the approach, selection and weighting of various factors, or how information is displayed and communicated?

Guidelines

Stage 1:  Registration

Participants will register on GRMDS. We will send out a confirmation email to all participants upon successful registration. Once you form your team, one representative from your team must fill out the Team Registration Form. Please note that this competition is open to all participants globally. For any questions you may ask it on the Forum.

Stage 2:  Team work and submission

Submissions must include all deliverables and are due Sunday, March 21 11:59 PDT. Please upload all deliverables to the GRMDS. Place the names of all team members and team name on the technical report. Submission by any individual group member will represent the whole team.

Stage 3:  Evaluation and Final Presentation

Our expert committee will evaluate all project deliverables and select the finalist teams at the Awards Ceremony. WorldData.AI and RMDS Lab may work with partners to deploy and use the winning models to score risks to guide our communities in the form of alerts accessed via map, website, or app.

Prizes

Cash prizes, internship opportunities, and certificates of recognition will be awarded for first and second place.

• First prize is $1,000

• Second prize is $500

• Considerations for internship positions at RMDS Lab, WorldData.AI and other partner organizations

• Data Science Competency Certification

• Complimentary premium membership at RMDS Lab

• Complimentary data subscription at WorldData.AI

• Publishing opportunities with partners

• Invitation to present at IM Data 2021

Code of Conduct

The use of data will adhere to ethical use and protection of individual data privacy. Find the Code of Conduct here