Nav: Home

Research on aid tackling modern slavery, forced labor, human trafficking, child labor

September 14, 2018

New York, 13 September 2018 -- Thirty countries together committed more than USD 4 billion in development aid to address modern slavery, forced labour, human trafficking and child labour between 2000 and 2013, according to a new report released by United Nations University today.

The report, "Official Development Assistance and SDG Target 8.7: Measuring Aid to Address Forced Labour, Modern Slavery, Human Trafficking and Child Labour", was undertaken by Delta 8.7 - The Alliance 8.7 Knowledge Platform, a project of the United Nations University Centre for Policy Research (UNU-CPR).

It offers the most detailed and robust analysis available about countries' development spending commitments to achieve Target 8.7 of the UN Sustainable Development Goals (SDGs). With Target 8.7, 193 countries pledged their commitment to take effective measures to eradicate forced labour, modern slavery and human trafficking by 2030 and child labour by 2025.

The report analyses and visualises how official development assistance (ODA) -- government aid that promotes and specifically targets the economic development and welfare of developing countries -- was committed, by whom, on what, and where.

"In order to understand progress being made towards achieving Target 8.7, it is important to identify where resources are being committed", said Dr Kelly A. Gleason, Delta 8.7's Data Science Lead and coauthor of the report. The report finds that the average annual global ODA commitments to address Target 8.7 exploitation increased significantly, from around USD 119 million in 2000 to around USD 430 million in 2013.

The report uses new data sets and draws on an innovative research methodology that the authors argue can be utilised to develop an even more detailed picture of anti-slavery and anti-trafficking spending in the future. A new language processing algorithm was developed to analyse an official data set of more than 1.2 million aid projects, identifying more than 6,000 aid projects directly related to Target 8.7 between 2000 and 2013.

Dr Gleason explains: "Human coders are usually tasked to process this type of text-based data, which can be incredibly time consuming. Automating the data selection process allowed us to manage and compile a very large amount of data in a highly efficient manner, while still providing a high-quality sample of project-level ODA spending."

"This new data set and the patterns it reveals point to important questions about how governments decide where to spend taxpayers' money to address forced labour, modern slavery, human trafficking, and child labour," said Dr James Cockayne, Director of UNU-CPR and co-author of the report. "Our research suggests the need for donors to discuss how they record and track their spending, and how they can best coordinate their spending to maximise impact."

The report calls for more robust data coordination and tracking of ODA commitments to strengthen the tracking of progress towards Target 8.7. In addition, it highlights the need for sharing and centralisation of ODA and non-ODA spending, which would help researchers and policy actors to determine how spending is relating to impact and outcomes, and begin to identify the "effective measures" required to reach Target 8.7.

The report is the first research product of Delta 8.7, a knowledge and research platform developed by UNU-CPR as a contribution to Alliance 8.7, a global multi-stakeholder effort to accelerate progress towards Target 8.7. Delta 8.7 also includes a global, online knowledge platform that will be launched on 24 September 2018. Delta 8.7 will provide a hands-on learning experience for policy actors and help them understand and use data and evidence to adopt policy responses that contribute to achieving Target 8.7.
-end-
The full report and interactive graphs are available at http://www.delta87.org.

Notes for journalists:

This research draws on a set of 1,252,036 aid projects in ODA-eligible countries provided by AidData, based on the Organisation for Economic Co-operation and Development (OECD) Development Assistance Committee (DAC) Creditor Reporting System (CRS). From this data set, an innovative natural language processing algorithm was used to identify more than 6,000 aid projects directly related to Target 8.7 between 2000 and 2013.

This report is an original research publication of Delta 8.7 - The Alliance 8.7 Knowledge Platform. Delta 8.7 is funded by the UK Modern Slavery Innovation Fund (MSIF). This report was produced independently of the MSIF and any views expressed within are those of the authors and do not necessarily represent the official views of the British Government.

Delta 8.7 - The Alliance 8.7 Knowledge Platform: Delta 8.7 is a contribution to the Alliance 8.7, which is a global partnership for eradicating forced labour, modern slavery, human trafficking and child labour around the world. The Delta 8.7 project helps policy actors understand and use data responsibly to inform policies that contribute to achieving UN SDG Target 8.7. It does this by bringing together the most useful data, evidence and analysis through Delta87.org, an online knowledge platform, and offline events. http://www.delta87.org

The online launch of Delta 8.7 - The Alliance 8.7 Knowledge Platform will be on 24 September 2018.

United Nations University Centre for Policy Research: UNU-CPR in New York is an independent think tank within the United Nations system. It combines research excellence with deep knowledge of the multilateral system to generate innovative solutions to current and future global public policy challenges. http://cpr.unu.edu

United Nations University

Related Data Articles:

Discrimination, lack of diversity, & societal risks of data mining highlighted in big data
A special issue of Big Data presents a series of insightful articles that focus on Big Data and Social and Technical Trade-Offs.
Journal AAS publishes first data description paper: Data collection and sharing
AAS published its first data description paper on June 8, 2017.
73 percent of academics say access to research data helps them in their work; 34 percent do not publish their data
Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research data.
Designing new materials from 'small' data
A Northwestern and Los Alamos team developed a novel workflow combining machine learning and density functional theory calculations to create design guidelines for new materials that exhibit useful electronic properties, such as ferroelectricity and piezoelectricity.
Big data for the universe
Astronomers at Lomonosov Moscow State University in cooperation with their French colleagues and with the help of citizen scientists have released 'The Reference Catalog of galaxy SEDs,' which contains value-added information about 800,000 galaxies.
What to do with the data?
Rapid advances in computing constantly translate into new technologies in our everyday lives.
Why keep the raw data?
The increasingly popular subject of raw diffraction data deposition is examined in a Topical Review in IUCrJ.
Infrastructure data for everyone
How much electricity flows through the grid? When and where?
Finding patterns in corrupted data
A new 'robust' statistical method from MIT enables efficient model fitting with corrupted, high-dimensional data.
Big data for little creatures
A multi-disciplinary team of researchers at UC Riverside has received $3 million from the National Science Foundation Research Traineeship program to prepare the next generation of scientists and engineers who will learn how to exploit the power of big data to understand insects.

Related Data Reading:

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by Martin Kleppmann (Author)

Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer Knaflic (Author)

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
by Seth Stephens-Davidowitz (Author)

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
by Wes McKinney (Author)

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
by Foster Provost (Author), Tom Fawcett (Author)

Data Science from Scratch: First Principles with Python
by Joel Grus (Author)

Dear Data
by Giorgia Lupi (Author), Stefanie Posavec (Author), Maria Popova (Foreword)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by Hadley Wickham (Author), Garrett Grolemund (Author)

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)
by John D. Kelleher (Author), Brian Mac Namee (Author), Aoife D'Arcy (Author)

Introduction to Machine Learning with Python: A Guide for Data Scientists
by Andreas C. Müller (Author), Sarah Guido (Author)

Best Science Podcasts 2018

We have hand picked the best science podcasts for 2018. Sit back and enjoy new science podcasts updated daily from your favorite science news services and scientists.
Now Playing: TED Radio Hour

Where Joy Hides
When we focus so much on achievement and success, it's easy to lose sight of joy. This hour, TED speakers search for joy in unexpected places, and explain why it's crucial to a fulfilling life. Speakers include inventor Simone Giertz, designer Ingrid Fetell Lee, journalist David Baron, and musician Meklit Hadero.
Now Playing: Science for the People

#500 500th Episode
This week we turn 500! To celebrate, we're taking the opportunity to go off format, talk about the journey through 500 episodes, and answer questions from our lovely listeners. Join hosts Bethany Brookshire and Rachelle Saunders as we talk through the show's history, how we've grown and changed, and what we love about the Science for the People. Here's to 500 more episodes!