Skip to Main Content
How can we use publicly available data sets to improve road safety?
Challenge Type: computer science
See more like this check out our active challenges
$1,600
top 50%
76
submissions
DONE
84 months

We are a global reinsurance company, which means we provide insurance for insurance companies. We take on some of the financial risk that they take on from their customers. Our main focus is property / casualty reinsurance which means that we are constantly analyzing the potential safety risks within our society and working on solutions that prevent losses from happening.

In order to analyze potential safety risks, we rely on teams of data scientists and actuaries to identify factors and trends. By sharing the trends and factors we identify with our clients (which include governmental entities, insurance companies, and individual consumers) we provide them with the information needed to engage in less risky behavior.  For example, by reducing insurance costs for buildings with automatic fire extinguishing systems, we encourage building owners to spend money on fire suppression equipment.

 One source of risk is the danger of our roadways. From small injuries to fatalities, it is clear that one of the greatest preventable "epidemics" is losses caused by dangerous roadways and dangerous drivers. This risk affects everyone, and we are looking for additional methods and tools to help us tackle this issue. 

Deliverables

We are interested in currently feasible ideas for how we can use publicly available data sets to improve road safety for everyone.  *Participants will be responsible for identifying the public data set and including the location of that data set in their submission.*  

Specifically, please answer the following:

  1. Are roads unsafe? Why or how?  You can describe various different dangers.  
  2. Which data source(s) did you select which would contribute to improving road safety?
  3. How do you think our application of the data would improve road safety?
  4. Please attempt to quantify the benefit to safety using numbers available through public reports.
  5. What other tools/resources would be needed to implement what you're suggesting (computing power, data scientists, new algorithms, etc.)?

Considerations:

  • One of our top criteria when judging solutions will be the feasibility of your idea.  We want you to think creatively and send your outside-of-the-box ideas, but be sure to explain how it would be possible for us to implement them!  
  • Top participants may be invited to work on a project with our innovation lab to work toward integrating the new method/data into our business operation. 





    Submissions will be graded on the following criteria:
  • Meets Deliverables
  • Creativity
  • Clarity
  • Feasibility
  • Greatest Benefit to the Safety of Society
Reward Tiers
Top 10%
will share $1,000
Next 15%
will share $400
Next 25%
will share $200
Actual individual rewards will be based on the total number of eligible solutions.
Leaderboard
$125.00 Matthew Gaiser Queen's University
$125.00 Cyril Sebastian Government college of engineering ,Trivandrum,Kerala,India
$125.00 Luke andraka Virginia Polytechnic Institute and State University
$125.00 Celeste Cavaliere Centennial College
$125.00 Pedro M University of Providence
$125.00 Francis Daniel Santia Harvard University
$125.00 Jacob Nicholas University of Minnesota
$125.00 Harsh Sahay Indian Institute of Technology - Ropar
$36.40 Daniel Gurung Delhi University
$36.40 Ashiq C College Of Engineering Trivandrum
$36.40 Jessica Li New York University
$36.40 Sophie Zhao McGill University
$36.40 Nda-jiya Suberu Bridgewater State University
$36.40 Danica Dickinson University of Victoria
$36.40 Paula Judkowiak Baruch College
$36.40 Abhinav Dulur Rutgers University
$36.40 Dyllan Hancott Yorkville University
$36.40 Nitin Maurya Indian Institute of Technology - Bombay
$36.40 Samantha Thompson Brock University
$10.50 James Pavur Oxford University
$10.50 BHavtosh Rath University of Minnesota
$10.50 Varun Narayan
$10.50 Mila Veljanovska University of New Brunswick
$10.50 Jorge Mario Vega Iglesias Universidad Santo tomas
$10.50 Joseph Parascando University of Central Florida
$10.50 Soheil Sadeghi Lehigh University
$10.50 Navjot
$10.50 Vinaygopal Mawandia University of Mumbai
$10.50 Enahoro Enas Tennessee Tech University
$10.50 Naman Srivastava SRM University
$10.50 akshay kumar Indian Institute of Technology - Delhi
$10.50 Nicholas Fermin University of Central Florida
$10.50 Kevin Dwyer Texas A&M University
$10.50 ephantus charles Moi University
$10.50 George Kiprono Tonuy JKUAT
$10.50 Jerry Zhang
$10.50 Asumpter Kiio Kenyatta university
$10.50 Toby Howell University of Central Florida
Submission questions


0 characters Average: 1720 characters
Your solution must be at least 200 characters long
Contact Us