Open Collective
Open Collective

Sahana Research and Action

humanitarian FOSS innovations - tackling disaster and emergency communication challenges

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Sahana Research and Action is all of us

Our contributors 6

Thank you for supporting Sahana Research and Action.

Biplov Bhandhari

Core Contributor

Lutz Frommberger

Core Contributor

Art Botterell

Core Contributor

Devin Balkind

Core Contributor

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News from Sahana Research and Action

Updates on our activities and progress.

AidIQ and SpotOn to take on the SAMBRO Alerthub cleanup

A different but related aim is a SAMBRO 1.0 release. It would also imply a stable and cleaner SAMBRO/Alerthub sub template. Moreov...
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Published on May 15, 2019 by Nuwan Waidyanatha

The IAN-Lens, our first goal

Our goal has been, and still is, to build the IAN "presentation layer". Dominic and I talked last week and are harmonizing on the expectations of this build; now, it is being coined as the Interplanetary Alert Network Lens (IAN-Lens).Ind...
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Published on April 22, 2019 by Nuwan Waidyanatha

Since we started 1 year ago, what has unfolded

We were first convinced blockchain would be a solution. We developed a Hyperledger Fabric prototype to test the concepts of CAP messaging (if keen, code is on my laptop). Then realized blockchain language and methods were more geared for...
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Published on April 4, 2019 by Nuwan Waidyanatha

About


Sahana Research and Action (SaRA) is currently working on the research and development of an Interplanetary Alert Network (IAN) - https://github.com/waidyanatha/IAN/wiki . It aims to offer a decentralized and trusted platform for publishing and subscribing alerts. We are thinking futuristic with IOTs and the current dilemma IOT face with identity, trust, so on. Similar to all other, this work is also on emergency communication.

Background

The idea originates from the concept of "alert authentication without aggregation". We first investigated Blockchain technology, through the Hyperledger Fabric project, to realize that it was not the right paradigm (i.e. language, model and objectives). We are now convinced that the Interplanetary File System (IPFS) and a presentation layer would suffice. The presentation layer would need a taxonomy and indexing for one node to consume or offer filterable alerts to another node. The challenge is in developing a common taxonomy, perhaps one that is adaptive for the alerting ecology.

Problem

SaRA has strong credentials in the Common Alerting Protocol international warning standard. It was natural for us to investigate the possibility of formulating a taxonomy from the CAP messages; especially, those originated or relayed by the Alerting Authorities defined in the WMO Register. We have been collecting such messages, in our GRAB database. These come from 80+ CAP feeds around the world. However, the current state of those published messages do not comply with the CAP standard, polices and procedures. This makes it extremely difficult to heuristically develop a taxonomy; especially when we think beyond CAP feeds to include social media and other streams (including video).

Solution

We need to apply NLP techniques to build our taxonomy. The current trend is with the use of ML techniques such as the Tensorflow project introduced by Google. We have undergone the virtualization stage of the prototyping to experiment with the GRAB data and the algorithms.

Current code is available @ github/waidyanatha.

Activities

The project needs to complete the following activities to prepare a prototype for real world testing

  • Develop, test, and validate the Clustering, Bayesian NN, and NLP techniques for building an adaptive taxonomy (data scientist with python skills)
  • Integrate IPFS with SAMBRO to offers CAP XML files through a node's hash-tree folder structure for sharing immutable CAP XML files (python programmer with SAMBRO expertise).
  • Host SAMBRO/IPFS nodes on cloud services, with a single instance per node for a configuration of multiple nodes (Systems Administrator)

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We're looking to connect with people passionate about us utilizing accessible technologies to help people prepare for, respond to and recover from disasters. Connect with us!

Our team

Biplov Bhandhari

Core Contributor

Lutz Frommberger

Core Contributor

Art Botterell

Core Contributor

Devin Balkind

Core Contributor