Together with volunteers from Montgomery Co CERT (Steve Peterson), we have launched a large-scale image labeling effort to identify the severity of damage caused by #HurricaneDorian & train more accurate image processing models of AIDR system developed at QCRI | معهد قطر لبحوث الحوسبة MicroMappers

We’ve partnered with AIDR and Education Above All Foundation to analyze more than 7.9 million tweets to identify discussions about education insecurity in the Middle East and Africa. Explore our new #dataviz here: bit.ly/33YGee9 QCRI | معهد قطر لبحوث الحوسبة #WISE19

Our work with OCHA Centre for Humanitarian Data/UN Humanitarian and Education Above All Foundation on the identification of incidents related to education insecurity from Twitter is online. The map shows both AIDR processed tweets (~7.6 million) and the incidents identified by ACLED experts.

We've activated our automatic damage severity assessment models to identify damage reports on Twitter caused by a recent severe #earthquake in #Albania. Live updates here: bit.ly/35CdJmU

💬 We spoke to @Muhammad Imran of QCRI | معهد قطر لبحوث الحوسبة on AIDR, the role of social media in understanding crises, and what’s next for predictive models in the sector: bit.ly/2KHfd7n

Looking forward to participating in the NSF convergence accelerator on AI for Disaster Management at the Uni of South Carolina (University of South Carolina) tomorrow organized by the AI Institute's Amit Sheth, Hemant Purohit, Ilkay Altintas, Ph.D., and Susan C. Will talk about AIDR work from QCRI | معهد قطر لبحوث الحوسبة

Looking for labeled #datasets for your research in the #humanitarianAid, #crisisInformatics areas, several new datasets have been uploaded to the CrisisNLP repo: crisisnlp.qcri.org

[Pls RT] Open Postdoc Position: The Crisis Computing team at QCRI has an exciting opportunity for a Postdoctoral Researcher to conduct research and develop creative solutions for real-world problems in the humanitarian domain. More details here: crisiscomputing.qcri.org/2019/12/09/pos…

💬 Muhammad Imran of QCRI | معهد قطر لبحوث الحوسبة talks about AIDR, the role of social media in understanding crises, and what’s next for predictive models in the sector: bit.ly/2KHfd7n

.Lada Adamic from Facebook giving a talk at QCRI | معهد قطر لبحوث الحوسبة presenting Facebook Disaster Maps, social network analysis and other interesting works.

AIDR (AIDR) of QCRI | معهد قطر لبحوث الحوسبة is listed in the catalogue for predictive models in the humanitarian sector. AIDR provides real-time insights from social media using natural language processing, computer vision, and other AI techniques. Thanks OCHA Centre for Humanitarian Data!

AIDR is monitoring social media for #Coronavirus (#COVID19). We’re using AI techniques to offer various ways to explore Twitter data and present maps of geographical distributions of tweets, users, and most mentioned locations. More results here: aidr-dev.qcri.org/covid19/

We are using unsupervised machine learning techniques to process Twitter data to find hidden topics on Twitter discourse related to #covid-19 #Corona. We let AIDR users explore daily data and get insights about trending topics. See detailed results here: aidr-dev.qcri.org/covid19/

🎒We’ve now analyzed 16.7 million tweets to identify discussions about education insecurity in the Middle East and Africa. Explore our updated dataviz here: bit.ly/33YGee9 AIDR QCRI | معهد قطر لبحوث الحوسبة Education Above All Foundation

New COVID-19 Twitter dataset is available on CrisisNLP! >524 million tweets with geo-location From >43 million users Geo coverage over 218 countries & 47K cities Tweets in 62 national and local languages Paper: bit.ly/3d7Et22 Dataset: bit.ly/2TAe1a9

Want to track interesting COVID-19 trends about health, education, employment, tourism, economy, sports, the environment & more via Twitter lens? Try our new COVID-19 Trends Service: covid19-trends.qcri.org Search trends in 62 languages: e.g. البطالة, बेरोजगारी, безработица...

Technology is enabling earlier, faster + more effective humanitarian action -- but challenges and risks abound. ➡️Register now to join Tom Fletcher, Birgitta Tazelaar and a fantastic panel on 29 April to discuss the promise and pitfalls of humanitarian tech bit.ly/hum-tech

We've received a large number of requests asking for separate country and language download options...we did that now Individual countries and lang files with all attributes available at: crisisnlp.qcri.org/tbcov Still got a special request, send us here: bit.ly/3ixMN0D

NEW DATASET!!! Looking for a multilingual #COVID19 #Twitter dataset for your longitudinal and cross-sectional study? 👇 #Covid_19 #coronavirus #Sentiment #AI4Good #SMEM

After devastating Turkey Syria EQ on Feb 6, we deployed our text & image processing systems to help response orgs, incld UNDP, find missing ppl reports, shelter requests, damage reports using over 60M tweets. District-level agg results attached. DM if u need access to data/page.