How it works

The Traffik Analysis Hub (TA Hub) program is an impactful collaboration across multiple sectors united by a common goal in preventing human trafficking and the damage it does to humanity. At its heart is a suite of technologies developed by IBM and specifically configured to serve the needs of all those with a stake in countering trafficking.

"The data hub is a crucial development in the fight against human trafficking, and builds on IBM’s longstanding commitment to help combat the issue.” 

- Guillermo Miranda, Global Head of IBM Corporate Social Responsibility

Security of Data is Paramount

The TA Hub platform runs in a secure IBM cloud-hosted environment with access for authenticated members only, into which they can upload non-personal data related to human trafficking. This allows analysts to draw from a rich pool of data and more easily identify trafficking patterns, networks and hotspots.

  1. Group Created with Sketch.

    1 Data Collection

    Authenticated partners are able to upload data from a large variety of sources. In addition, unstructured open-source data is ingested at scale – including thousands of publicly available news feeds.

  2. Group 2 Created with Sketch.

    2 Data Sorting and Processing

    Using IBM Watson - AI, machine learning, and natural language recognition - an intelligent "golden tagging" schema is applied to the data. In addition, the TA Hub solution is trained to recognize terms and incidents related to human trafficking in the unstructured content, and structure it along the golden tags schema. This allows for consistent formatting, analysis and outputs.

  3. Group 3 Created with Sketch.

    3 Analysis and Outputs

    With the data from all sources on the platform aggregated, structured and linked, the initially disparate datasets are transformed into a common actionable information pool (a “data lake”). As the TA Hub develops, complex data will be used to create actionable data visualization (ie. graphs or tables) and analytic outputs with supporting interpretive narratives.

  4. Group 4 Created with Sketch.

    4 Use and Impact

    Once the structured and unstructured data has been gathered, processed, and analyzed with interpretive narratives, partners are able to act on this vital and powerful information to investigate global trafficking activity.

Why Join

Because we are at a time in history where working together on a global level is actually possible, and by doing so, we can have a deeply powerful impact; more powerful than by working alone.  More partners means more data from a variety of sources - and this improves the IBM’s advanced cognitive technology’s ability to hone in and find trouble spots and actually uncover trafficking activity.

Request a demo