Bogota, 21 May 2019–
Thinking Machines Data Science and iMMAP have announced a Memorandum of Understanding (MoU) to exchange knowledge and expertise, to contribute towards shared data standards for humanitarian data exchange, and to identify potential research and technical problems and areas where emerging technologies could be useful to augment humanitarian response.
This agreement, signed by iMMAP Colombia Head of Office, Mr. Jeffrey Villaveces, and Thinking Machines Data Science´s Head of Public and Civic Engagements, Mrs. Patricia Faustino, aligns with iMMAP´s values to solve operational and strategic challenges of our partners by staying at the forefront of information management and data analysis.
The relationship between iMMAP and Thinking Machines began when the organizations both presented during the AI for Social Good Conference
held in Qatar in February 2019. In the months afterwards, iMMAP and Thinking Machines began exploratory discussions about how to potentially apply machine learning to extract useful data about Water, Sanitation and Hygiene (WASH) conditions and poverty in settlements populated by Venezuelans who have migrated to Colombia in escape of harsh economic conditions in their own countries.
The added value in this newly-established agreement is to combine the technical know-how of Thinking Machines with the experience in the field in iMMAP, where both sides are able to gain strategically and improve decision-making and response in disaster and crisis situations. Potential collaboration could result in new and innovative approaches by bringing to bear new data analysis and artificial intelligence techniques in humanitarian decision-making processes in the field, in conjunction with UN agencies and NGOs providing a direct response.
About Thinking Machines Data ScienceThinking Machines Data Science
is a data science consultancy that provides clients from the private, public, and non-profit sectors with services in data strategy development, data visualizations, machine learning, and data engineering. One of the company’s key services is using machine learning to extract usable geospatial data on demographics, infrastructure, and the physical environment from satellite imagery and other data sources. Thinking Machines Data Science is headquartered in Manila, Philippines.About iMMAP
iMMAP is an international not-for-profit 501(c)3 non-governmental organization that provides professional information management services in humanitarian and development settings. For over 18 years, iMMAP’s services have facilitated informed and effective disaster risk management, emergency response, and development activities by enabling evidence-based decision-making for cluster/sector leads, critical NGO and government operations. iMMAP is headquartered in Washington, DC.
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