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24 changes: 10 additions & 14 deletions README.md
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* [Community Slack channel: #COVID](https://thedataridealongs.slack.com/) via an [open invite link](https://join.slack.com/t/thedataridealongs/shared_invite/zt-d06nq64h-P1_3sENXG4Gg0MjWh1jPEw)

* [Meetings: Google calendar](https://calendar.google.com/calendar?cid=Z3JhcGhpc3RyeS5jb21fdTQ3bmQ3YTdiZzB0aTJtaW9kYTJybGx2cTBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ)

* Project Tackers: [Core](https://github.com/TheDataRideAlongs/ProjectDomino/projects/1), [Interventions](https://github.com/TheDataRideAlongs/ProjectDomino/projects/2), and [Issues](https://github.com/TheDataRideAlongs/ProjectDomino/issues)

* Tutorials: [available Jupyter-based notebook analyses](tutorials.md)

* Infra - ask for account access in Slack
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## The technologies

* Twitter firehose monitor
* Twitter firehose monitor: 100K+ topical tweets/day
* Data integration pipeline for sources of known scams, fraud, lies, bots, propaganda, extremism, and other misinformation sources
* Misinformation knowledge graph connecting accounts, posts, reports, and models
* Automated GPU / graph / machine learning pipeline: general classification (bot, community, ...) and targeted (clinical disinformation, ...)
* Automated alerting & reporting pipeline
* Interactive visual analytics environment for data scientists and analysts: GPU, graph, notebooks, ML, ...
* Intervention bots
* Misinformation knowledge graph connecting accounts, posts, reports, and models (1B+ nodes/edges)
* Automated GPU / graph / machine learning pipeline: general classification (bot, community, ...) and targeted (clinical disinformation, ...): Nvidia RAPIDS, BERT, ...
* Automated alerting & reporting pipeline: Prefect, Streamlit
* Interactive visual analytics environment for data scientists and analysts: GPU, graph, Jupyter, Streamlit, ML, ...

## How to help

We are actively seeking several forms of support:

* **Volunteers**: Most immediate priority is on data engineering and advisors on marketing/public health
* **Volunteers**: Most immediate priority is on data engineering, data science, and advisors on marketing/funding/public health
* **Data engineers: Orchestration (Airflow, Prefect.io, Nifi, ...), streaming (Kafka, ...), graph (Neo4j, cuGraph), GPU (RAPIDS), ML (NLP libs), and databases**
* **Analysts: OSINT, threat intel, campaign tracking, ...**
* **Data scientists: especially around graph, misinformation, neural networks, NLP, with backgrounds such as security, fraud, misinformation, marketing**
* **Data scientists: especially around graph, misinformation, neural networks, GNNs, NLP, with backgrounds such as security, fraud, misinformation, marketing**
* Developers & designers: intelligence integrations, website for search & reports, automations, intervention bots, API
* Marketing: Strategy & implementation
* Public health and communications: Especially around safe and effective intervention design
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* For each, we can work together to setup Ubuntu with remote SSH admin, Nvidia drivers, & (Nvidia-enabled) Docker

* **Sponsors**: Near-term funding until the project finds a more sustainable path is welcome!
* Federal and private grants
* Mission-aligned contracts: We are happy to help organizations tackle challenges around social intelligence, such as disaster analytics & anti-misinformation

* **Subprojects**: We are focusing near-term on core data pipeline and simple analyses while building up to the discourse-graph-level ones

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* **Priority**: Untrialed drug misinformation - modeling, detection, analysis, report, & alert
* Scams: Check URLs & blockchain addresses for known badness
* Mapping bots & misinformers
* Automation: Prototypes of
* UI tools & automation: Prototypes of
* Alert feed + scoring API: Misinfo intel for trust & safety teams that is powered by Neo4j and/or Prefect.io/Airflow
* Anti-misinfo chatbot: Upon a misinfo detection, respond to a Twitter thread with a misinfo report URL + WHO safety guide
* Community leader tools: Personalized alerting for community leaders to detect & respond to misinfo in their close social networks


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