Patrick Meier (PhD)
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Patrick is an internationally recognized thought leader on the application of new technologies for crisis early warning, humanitarian response and resilience. Presently serves as Director of Social Innovation at the Qatar Foundation’s Computing Research Institute. Previously co-directed Harvard's Program on Crisis Mapping & Early Warning and served as Director of Crisis Mapping at Ushahidi. Patrick holds a PhD from The Fletcher School, a Pre-Doctoral Fellowship from Stanford & MA from Columbia. He was born & raised in Africa.
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Popular Posts This Week
- Over 2 Million Tweets from Oklahoma Tornado Automatically Processed (Updated)
- Automatically Classifying Crowdsourced Election Reports
- A List of Completely Wrong Assumptions About Technology Use in Emerging Economies
- Crisis Mapping Syria: Automated Data Mining and Crowdsourced Human Intelligence
- Crowdsourcing Critical Thinking to Verify Social Media During Crises
- How Crowdsourced Disaster Response in China Threatens the Government
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Latest Posts
- Over 2 Million Tweets from Oklahoma Tornado Automatically Processed (Updated)
- Automatically Classifying Crowdsourced Election Reports
- How Crowdsourced Disaster Response in China Threatens the Government
- Crowdsourcing Critical Thinking to Verify Social Media During Crises
- Jointly: Peer-to-Peer Disaster Recovery App
- Web App Tracks Breaking News Using Wikipedia Edits
- Social Media for Emergency Management: Question of Supply and Demand
- Data Science for Social Good and Humanitarian Action
- How To Disconnect in a Hyper Connected World
- Artificial Intelligence for Monitoring Elections (AIME)
- Self-Organized Crisis Response to #BostonMarathon Attack
- Introducing MicroMappers for Digital Disaster Response
- Data Protection Protocols for Crisis Mapping
- Big Data for Conflict Prevention
- Humanitarianism in the Network Age: Groundbreaking Study
- Tweets, Crises and Behavioral Psychology: On Credibility and Information Sharing
- Five Years of iRevolution in Fast Forward
- Digital Humanitarians and The Theory of Crowd Capital
- Automatically Extracting Disaster-Relevant Information from Social Media
- Using Crowdsourcing to Counter the Spread of False Rumors on Social Media During Crises
My Tweets- PatrickMeier: @SeanGorman @geofeedia Gets back to the issue of Supply & Demand of Crowdsourced Crisis Information: http://t.co/UUXS3iXePi
- PatrickMeier: Thanks RT @geofeedia: @PatrickMeier no mention of gas leaks. Lack of gasoline and water reported // cc @SeanGorman
- PatrickMeier: RT @GSMAmWomen: 67% of #Afghan #women who own a #mobile phone got it in the last 2 yrs indicating access to mobile phones growing rapidly...
- PatrickMeier: RT @selangberg: Automatically classifying reports would take election crowdsoucing to the next level. http://t.co/s2XTpXcFxA
- PatrickMeier: Using Crowdsourcing to Map Environmental Hazards http://t.co/KfRaXNyC45
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Search Results for: forensics
Rapidly Verifying the Credibility of Information Sources on Twitter
One of the advantages of working at QCRI is that I’m regularly exposed to peer-reviewed papers presented at top computing conferences. This is how I came across an initiative called “Seriously Rapid Source Review” or SRSR. As many iRevolution readers … Continue reading
Posted in Big Data, Crowdsourcing, Information Forensics, Social Computing, Social Media
Tagged Computational, Journalism, Source, SRSR, Twitter, verification
What Was Novel About Social Media Use During Hurricane Sandy?
We saw the usual spikes in Twitter activity and the typical (reactive) launch of crowdsourced crisis maps. We also saw map mashups combining user-generated content with scientific weather data. Facebook was once again used to inform our social networks: “We … Continue reading
Posted in Crisis Mapping, Crowdsourcing, Humanitarian Tech, Social Media
Tagged #Sandy, Facebook, Fake, Hurricane, Instagram, maps, Pictures, Twitter, Webcams
Accelerating the Verification of Social Media Content
Journalists have already been developing a multitude of tactics to verify user-generated content shared on social media. As noted here, the BBC has a dedicated User-Generated Content (UGC) Hub that is tasked with verifying social media information. The UK Guardian, … Continue reading
Posted in Information Forensics, Social Computing, Social Media
Tagged Authenticity, bbc, Journalism, User-Generated Content, Veracity, verification
Using Rapportive for Source and Information Verification
I’ve been using Rapportive for several few weeks now and have found the tool rather useful for assessing the trustworthiness of a source. Rapportive is an extension for Gmail that allows you to automatically visualize an email sender’s complete profile … Continue reading
Posted in Crowdsourcing, Social Computing, Social Media
Tagged Information, Rapportive, verification
Traditional vs. Crowdsourced Election Monitoring: Which Has More Impact?
Max Grömping makes a significant contribution to the theory and discourse of crowdsourced election monitoring in his excellent study: “Many Eyes of Any Kind? Comparing Traditional and Crowdsourced Monitoring and their Contribu-tion to Democracy” (PDF). This 25-page study is definitely a must-read … Continue reading
Posted in Crowdsourcing, Digital Activism, Social Media, Ushahidi
Tagged Egypt, elections, Impact, Monitoring, Observation, Sudan
Crowdsourcing for Human Rights Monitoring: Challenges and Opportunities for Information Collection & Verification
This new book, Human Rights and Information Communication Technologies: Trends and Consequences of Use, promises to be a valuable resource to both practitioners and academics interested in leveraging new information & communication technologies (ICTs) in the context of human rights … Continue reading
Posted in Big Data, Crowdsourcing, Information Forensics, Social Media
Tagged Human, Human Rights, ICT, Rights, triangulation, validation, Veracity, verification
Big Data for Development: Challenges and Opportunities
The UN Global Pulse report on Big Data for Development ought to be required reading for anyone interested in humanitarian applications of Big Data. The purpose of this post is not to summarize this excellent 50-page document but to relay … Continue reading
Posted in Crisis Mapping, Crowdsourcing, Humanitarian Tech, Social Computing, Social Media
Tagged BigData, data, Develpment, Global, privacy, Pulse, Quality, UN
The Best of iRevolution: Four Years of Blogging
Many thanks to all iRevolution readers who have been following this blog, which turns four years old today. Thank you also for commenting, providing feedback, getting in touch and for sharing my writing! I have published over 500 blog posts … Continue reading
Truthiness as Probability: Moving Beyond the True or False Dichotomy when Verifying Social Media
I asked the following question at the Berkman Center’s recent Symposium on Truthiness in Digital Media: “Should we think of truthiness in terms of probabili-ties rather than use a True or False dichotomy?” The wording here is important. The word … Continue reading
Posted in Big Data, Crowdsourcing, Information Forensics, Social Media
Tagged #Truthicon, Berkman, center, Digital, media, truthiness, validation, verification