DrivenData
hosts online data science competitions where the data and
problem are posed by a socially-minded organization.
You get to put your analytic skills
to the test in order to tackle real-world problems with real-world impact.
In this challenge, we will take a look at vaccination, a key public health measure used to fight infectious diseases. Vaccines provide immunization for individuals, and enough immunization in a community can further reduce the spread of diseases through "herd immunity.
As of the launch of this competition, vaccines for the COVID-19 virus are still under development and not yet available. The competition will instead revisit the public health response to a different recent major respiratory disease pandemic. Beginning in spring 2009, a pandemic caused by the H1N1 influenza virus, colloquially named "swine flu," swept across the world. Researchers estimate that in the first year, it was responsible for between 151,000 to 575,000 deaths globally.
This is an intermediate-level practice competition. Your task is to predict the number of dengue cases each week (in each location) based on environmental variables describing changes in temperature, precipitation, vegetation, and more.
An understanding of the relationship between climate and dengue dynamics can improve research initiatives and resource allocation to help fight life-threatening pandemics
Richter's Predictor: Modeling Earthquake Damage: Following the 7.8 Mw Gorkha Earthquake on April 25, 2015, Nepal carried out a massive household survey using mobile technology to assess building damage in the earthquake-affected districts. Although the primary goal of this survey was to identify beneficiaries eligible for government assistance for housing reconstruction, it also collected other useful socio-economic information. In addition to housing reconstruction, this data serves a wide range of uses and users e.g. researchers, newly formed local governments, and citizens at large. The purpose of this portal is to open this data to the public.
Some results in not a typical place for AI
Organised by Copenhagen Capacity, Skybox Technologies and RFRSH Entertainment, the top-five AI teams will be invited to the 2020 tournament to run their prediction models during professional CS:GO matches. “Through machine learning algorithms, the data teams will attempt to identify critical turning points in matches,” says CEO Ethan Cooper.
