Media

Mentions 2020

Mentions 2019

Mentions 2018

Mentions 2017

Press releases

Media contact

2020 Media Mentions

Create open data culture to feed hungry world – experts

November 18, 2020 / 2020

A message to the next generation: This is your opportunity. Make sure your voices are heard.

September 2, 2020 / 2020

Enhancing Earth Observation Solutions in Agriculture with Machine Learning

May 14, 2020 / 2020

How mobile phone towers could help monitor rainfall in developing countries

April 20, 2020 / 2020

CGIAR announces agritech blog post contest winners

February 29, 2020 / 2020

How Can We Harness Tech To Scale Up Biofortification?

January 31, 2020 / 2020

Want to know what climate change will do in your backyard? There’s a dataset for that.

January 22, 2020 / 2020

2019 Media Mentions

What’s the State of the Evidence for Digital Agriculture?

December 26, 2019

Smart solar pumps use big data to stop Africa being sucked dry

December 17, 2019

Policy, Regulation, and Digital Agriculture in Africa

December 4, 2019

Guess the rain: Kenya gamifies climate change to help farmers

November 28, 2019

Grant will support expanded use of artificial intelligence for crop health

November 26, 2019

Will Artificial Intelligence Help Resolve the Food Crisis?

November 15, 2019

How might non-conventional data fill data-gaps and contribute to monitoring our agri-food systems at higher resolutions

November 15, 2019

Telengana to create crop colonies based by using big data analytics

October 27, 2019

Open big data to help farmers weather climate change

October 20, 2019

Mobiles capable of building climate resilience

October 17, 2019

Trust, integrity vital for use of big data

October 17, 2019

Data is the new oil of the 21st century: Jayesh Ranjan

October 16, 2019

Telangana to create crop colonies based on big data analytics

October 16, 2019

2019 BIG DATA Convention to tackle trust in digital agriculture

October 15, 2019

Asia Inc. 500 and CGIAR Platform for Big Data in Agriculture launch new initiatives

October 15, 2019

Artificial intelligence and farmer knowledge boost smallholder maize yields

October 15, 2019

Smarter farming is a moral imperative, and big data provides the tools

September 26, 2019

21 Projects Democratizing Data for Farmers

September 18, 2019

The key to driving Africa’s agricultural revolution is good data

September 4, 2019

Improving the Sustainability of Agri-Food Systems in the Developing World with Non-Conventional Data Sources

August 1, 2019

GARDIAN: CGIAR Search Engine for Accessing Agricultural Big Data

July 8, 2019

Q&A between FAO AIMS and BIG DATA Platform Coordinator Brian King

May 24, 2019

MARPLE team recognized for international impact

May 17, 2019

Aprendizado de máquina seleciona sementes inteligentemente

May 3, 2019

Dr. Diane Saunders of MARPLE diagnostics finalist for BBSRC Innovator of the Year Competition 2019

April 30, 2019

A New Global Agriculture: Using Big Data to Bring Farmers Together

April 7, 2019

Making Tropical Agriculture more Resilient and Sustainable

March 25, 2019

AI is no longer a tech niche – 4 industries that will be revolutionized by AI in 2019

March 19, 2019

Digital extension – a hot topic for 2019

March 11, 2019

International Organization Releases Guidelines for Ag Data Research

March 9, 2019

Responsible Data Guidelines: Managing Privacy and Personally Identifiable Information

February 18, 2019

Sowing a Better Seed: How Crop Modeling Could Help Feed the World

February 3, 2019

119 Organizations Shaking Up the Food System in 2019

January 31, 2019

International Institute of Tropical Agriculture Research Data Made More Visible with GARDIAN

January 19, 2019

Bigger Data, Smaller Farms: The Role of Big Data in Sustainable Intensification

January 6, 2019

2018 Media Mentions

Follow the Trend: Machine Learning in the Fight Against Malnutrition

December 3, 2018 / 2018

Opinion: Big data shows big promise for feeding the world

November 12, 2018 / 2018

ICT4D webinar offers insight on how technology can help small-scale farmers

October 31, 2018 / 2018

Big data proposal wins 2018 Inspire Challenge

October 15, 2018 / 2018

Impact of Big Data in Agriculture

October 15, 2018 / 2018

Using Technology to Provide Agricultural Solutions

October 15, 2018 / 2018

CABI and IFPRI land prestigious $250,000 Inspire Challenge 2018 Scale Up award

October 10, 2018 / 2018

Can big data hold the key to unlocking sustainable smallholder farms?

October 3, 2018 / 2018

Betting the Farm: Big Data in Agriculture

September 6, 2018 / 2018

Building a Big Data Platform for Agriculture

August 6, 2018 / 2018

2018 Syngenta Crop Challenge: The Winner’s Story

August 1, 2018 / 2018

Decoding Agriculture: Creating the CGIAR Platform for Big Data in Agriculture

July 6, 2018 / 2018

Is There an Algorithm to End World Hunger?

June 30, 2018 / 2018

CGIAR to Use DigitalGlobe’s Big Data Platform for Agriculture

June 28, 2018 / 2018

DigitalGlobe and CGIAR to Accelerate Machine Learning Solutions for Agriculture

June 27, 2018 / 2018

Rebooting Food: Finding New Ways to Feed the Future

May 24, 2018 / 2018

BioSense Institute Novi Sad wins 2018 Inspire Challenge

April 11, 2018 / 2018

The CGIAR Platform for Big Data in Agriculture: Leveraging New Tools for Gender Equality

March 7, 2018 / 2018

Agriculture’s technology revolution needs to be democratic if smallholder farmers are to benefit

March 7, 2018 / 2018

Smallholders need access to big-data agronomy too

February 28, 2018 / 2018

Can agriculture stem its effects on climate in 2018?

January 2, 2018 / 2018

2017 Media Mentions

ICT4D conference starts in Hyderabad

16 May 2017

New mobile app diagnoses crop diseases in the field and alerts rural farmers

06 October 2017

4 things making Big Data in agriculture possible in Africa

24 Sept 2017

How artificial intelligence might help achieve the SDGs

19 May 2017

CGIAR to Build a Big Data Platform and Innovate With Start-Ups to Help Smallholder Farmers

09 October 2017

Latin American researchers helping farmers globally combat climate change with big data

15 November 2017

Big data analysis to guide farmers

16 May 2017

New app diagnoses crop diseases and notifies farmers

10 October 2017

Can agriculture and the climate fix their 'unhappy marriage' in 2018?

28 December 2017

Improving global integration of crop research

28 July 2017

Disease identification app to boost food security in Africa

05 October 2017

New App Diagnoses Crop Diseases, Alerts Farmers

12 October 2017

Press releases

CGIAR awards Inspire Challenge winners 700K to respond to food system crises

October 28, 2020

Food systems for times of crisis: upcoming conference shares how big data can help

October 15, 2020

Announcing the 2020 Inspire Challenge finalists

October 9, 2020

HPE advances the global food system with CGIAR

September 24, 2020

CGIAR awards 100K in Rapid Response Grants to digital innovations tackling COVID-19 impacts

July 2, 2020

Meet the 2019 Inspire Challenge winners selected at BIG DATA Convention

November 20, 2019

More than one million USD awarded to innovative projects using big agricultural data

October 21, 2019

Open big data to help farmers weather climate change

October 21, 2019

2019 BIG DATA Convention to tackle trust in digital agriculture

October 14, 2019

GARDIAN: The data search tool unlocking agricultural development innovation

June 18, 2019

APPLY NOW: 1 million USD in grants for innovative big data in agriculture solutions

May 29, 2019

CGIAR’s 2019 Inspire Challenge great news for smallholder farmers

April 15, 2019

Decoding the Data Ecosystem: Big Data in Agriculture Convention of 2018 & Inspire Challenge Grant Winners

October 1, 2018

Global Research Consortium Partners with Mobile Sector Leader DIAL to Unlock Digital Agriculture Innovation

September 17, 2018

Press release: Ripe for disruption

May 15, 2017

Media Contacts

Marianne McDade, Communications Coordinator

CIAT, Headquarters
Time Zone: Colombia Time (GMT-5)
Languages: English, Español
Phone: +57 (2) 445 0100 ext. 3739
Email: M.mcdade@cgiar.org

Responsible Data Management Guidelines to protect privacy

CGIAR Platform for Big Data in Agriculture advocates open data for agricultural research for development. It considers that opening up research data for scrutiny and reuse confers significant benefits to society.

However, the Platform appreciates that not all research data can be open and that a broad range of legitimate circumstances may require data to be restricted.

COLLECTION

Ensure compatibility with the DMP-PII
De-identify data to anonymize by default unless it will impair the data’s analytic potential, scientific utility or benefit to the participant,
If you cannot anonymize, minimize the PII and pseudonymize to reduce the disclosure risk
Provide research participants sufficient information to use reasoned judgment to decide whether or not they wish to participate in the project
Ensure informed consent is designed to address the following elements:
- competence, comprehension, full disclosure, voluntariness
- legitimate scientific purpose for which the PII is collected and scope of use (e.g. stored, transferred, published and whether as anonymized, minimized or raw data)
- foreseeable risk of privacy loss and consequences
- meaningful alternatives including opt-in protection/anonymization
- safeguards to protect privacy, conditions on which PII may be shared and any limitations on reuse or third- party access and use of PII
- permission to follow-up or contact the participant and for what purpose (including by third- parties)
- participant’s right to withdraw and rights regarding their data (e.g. to be informed; to access; to rectify; to object; to erase)
- inclusion of physical, phone and/or electronic contact (at least two forms of contact) that participant can reach to exert her/rights
- explicit consent and participant’s acknowledgement of understanding
- if written, provide the participant a copy of processed informed consent
Use plain language and adapt informed consent to meet the needs of vulnerable populations (e.g. obtain orally or in local language)

Don’t collect PII unless you have a Data Management Plan and any necessary approvals in place, including the recorded approval of the potential participant
Don’t collect PII unless you absolutely need it
Don’t assume that removal of direct identifiers is sufficient to anonymize data or that all de-identification techniques will result in anonymized data. Consider the risk of re-identification of a research participant, particularly if datasets are combined. If there is a reasonable risk of re-identification the information should be handled as PII (i.e. undertake risk analysis, evaluate stronger anonymization techniques, seek informed consent for the disclosure of data and explain its possible consequences)
Don’t include vulnerable participants or communities if their ability or capacity to provide voluntary informed consent is genuinely in question
Don’t underestimate the potential of quasi or indirect identifiers to identify an individual, particularly the inherent ability of location-based data to identify participants and their communities, and the increased risk of harm this may pose to potentially vulnerable individuals/communities
Avoid seeking overly broad consent that may call into question transparency or a research participant’s understanding regarding the use of their PII, be specific regarding the activities, purpose and limitations associated with PII so that the participant can make a genuinely informed decision and downstream users can evaluate purpose compatibility and seek fresh consent if needed

SUPPORT TYPE	EXAMPLE
100% funded by big data	This work was undertaken as part of, and funded by, CGIAR Platform for Big Data in Agriculture.
Funded by big data and other donors	This work was undertake as part of CGIAR Platform for Big Data in Agriculture. Funding support for this work was provided by CGIAR Platform for Big Data in Agriculture, (names of other funders in alphabetical order).
Shared services	The (name of the product) used in this work was provided by CGIAR Platform for Big Data in Agriculture as a Shared Service.
Event/ training program	The (name of the event or training program) was organized and funded by CGIAR Platform for Big Data in Agriculture.

Media

2020 Media Mentions

2019 Media Mentions

2018 Media Mentions

2017 Media Mentions

Press releases

Media Contacts

Marianne McDade, Communications Coordinator

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Responsible Data Management Guidelines to protect privacy

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REUSE / TRANSFER

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ARCHIVING / DISCARDING

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PUBLISHING AND DISCOVERY

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STORAGE AND ANALYSIS

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COLLECTION

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PLANNING AND APPROVAL

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