zouzias · September 7, 2021 12:46
diff --git a/gistfile1.txt b/gistfile1.txt
 Similar to kaggle
 That being said, let's dive in.

    DrivenData.
    CROWDANALYTIX.
    Signate.
    Zindi.
    Alibaba Cloud Tianchi.
    Analytics Vidhya.
    CodaLab.
diff --git a/kaggle-research-competitions.txt b/kaggle-research-competitions.txt
 Requirements

 To be eligible to host a research competition, the host organization must:

    Be an academic, research, or non-profit organization
    Have legal authorization to release the competition dataset publicly
    Post a cash prize
    Offer the prize on condition of winning solutions being open sourced

 Selection Criteria

 Kaggle will select research hosts on a rolling basis over the entire year. We will opportunistically reach out to prospective hosts based on the content of their application forms. Primarily, we will be looking for:

 Fit - Is the project a cleanly structured supervised learning problem? Is there ample data available to support a successful competition?

 Feasibility - Will it be logistically possible to make the data available for the competition? Is the hosting organization in a position to facilitate a successful competition?

 Impact - What is the scope of the problem this competition addresses? How impactful would the open source solutions be on the industry this competition supports?

 Kaggle and the prospective host will go through a vetting process before setting up and launching a competition. This vetting process will include a review of the dataset, some premodeling of the problem, and selection of an evaluation metric. The host organization will also need to sign a data-use agreement and be ready to transfer Kaggle the full value of the prize pool upon launch of the competition. Kaggle will facilitate the payment of prizes to winners at the competition close.
	Similar to kaggle
	That being said, let's dive in.

	DrivenData.
	CROWDANALYTIX.
	Signate.
	Zindi.
	Alibaba Cloud Tianchi.
	Analytics Vidhya.
	CodaLab.
	Requirements

	To be eligible to host a research competition, the host organization must:

	Be an academic, research, or non-profit organization
	Have legal authorization to release the competition dataset publicly
	Post a cash prize
	Offer the prize on condition of winning solutions being open sourced

	Selection Criteria

	Kaggle will select research hosts on a rolling basis over the entire year. We will opportunistically reach out to prospective hosts based on the content of their application forms. Primarily, we will be looking for:

	Fit - Is the project a cleanly structured supervised learning problem? Is there ample data available to support a successful competition?

	Feasibility - Will it be logistically possible to make the data available for the competition? Is the hosting organization in a position to facilitate a successful competition?

	Impact - What is the scope of the problem this competition addresses? How impactful would the open source solutions be on the industry this competition supports?

	Kaggle and the prospective host will go through a vetting process before setting up and launching a competition. This vetting process will include a review of the dataset, some premodeling of the problem, and selection of an evaluation metric. The host organization will also need to sign a data-use agreement and be ready to transfer Kaggle the full value of the prize pool upon launch of the competition. Kaggle will facilitate the payment of prizes to winners at the competition close.