Datasets Request for Research on Humanitarian Computing
To request the dataset(s) used in the following article, please fill out the below form. Once submitted, we will review your request, which may take a few days.

Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz and Patrick Meier. Practical Extraction of Disaster-Relevant Information from Social Media. In Proc. of the 22th International Conference on World Wide Web (WWW) Companion, May 2013, Rio de Janeiro, Brazil.

Personal details:
Full name:
Provide your full name.
Your answer
Organization name:
Provide your affiliation/organization name; must be a research institution (public or private).
Your answer
Email:
This email address will be used to communicate links of the dataset(s). Must be an e-mail address provided by your corporation/university (not gmail, etc.)
Your answer
Contact person's name (e.g. this could be one of the authors of the paper)
Please provide your contact person name.
Your answer
Please specify the names of dataset(s) to be requested:
Use comma (,) to separate more than one name.
Your answer
Please specify your intended use:
Must be research on a topic of humanitarian computing.
Your answer
Please acknowledge that:
You will be liable for any loss or damage in connection with this data
IN NO EVENT SHALL QCRI OR QCRI’s AFFILIATES BE LIABLE TO THE REQUESTER OR TO THE USER OF THE DATA SUPPLIED FOR ANY SPECIAL, INCIDENTAL, PUNITIVE, INDIRECT, EXEMPLARY, OR CONSEQUENTIAL DAMAGES.THIS DATA IS PROVIDED ON AN “AS IS” BASIS AND YOUR USE OF IT IS AT YOUR SOLE RISK.YOU WILL INDEMNIFY QCRI OR QCRI's AFFILIATES FOR ANY LOSS OR DAMAGE THEY MAY SUFFER ARISING OF ANY BREACH BY YOU OF THIS AGREEMENT.
You will use the data only for research on humanitarian computing.
You will keep the contents of these dataset(s) confidential (you can always share the tweet-ids).
The dataset(s) will be deleted by you upon our request at any time (you can always keep the tweet-ids).
The dataset(s) will be deleted by you upon completion of the research (you can always keep the tweet-ids).
Unless asked by us otherwise, you will cite the following paper in derived publications.
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz and Patrick Meier. Practical Extraction of Disaster-Relevant Information from Social Media. In Proc. of the 22th International Conference on World Wide Web (WWW) Companion, May 2013, Rio de Janeiro, Brazil.
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