{"id":35435,"date":"2021-10-27T20:48:07","date_gmt":"2021-10-27T18:48:07","guid":{"rendered":"https:\/\/www.unhcr.org\/innovation\/?p=35435"},"modified":"2024-05-08T09:39:22","modified_gmt":"2024-05-08T07:39:22","slug":"project-jetson","status":"publish","type":"post","link":"https:\/\/www.unhcr.org\/innovation\/project-jetson\/","title":{"rendered":"Project Jetson"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ custom_padding=”||32px|||” global_colors_info=”{}”]<\/p>\n

Project Jetson is a predictive analytics experiment to discover, understand, and measure the specific push and pull factors that cause, indicate or exacerbate the forced displacement. Project Jetson gives UNHCR and other humanitarian organizations the potential to become more proactive in their contingency planning, emergency preparedness and response efforts \u2014 a transformation that could significantly improve on-the-ground relief services and more importantly the lives of those who are forcibly displaced.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”1px||0px|||” global_colors_info=”{}”][et_pb_row make_equal=”on” _builder_version=”4.16″ background_color=”#f4f4f4″ custom_padding=”|32px||32px||true” border_radii=”on|8px|8px|8px|8px” global_colors_info=”{}” column_structure=”1_3,1_3,1_3″][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text module_class=”grey” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

Humanitarian challenge<\/h2>\n

Drought exacerbating internal displacement in Somalia generated by protracted conflict<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

Challenge Question<\/h2>\n

How might UNHCR predict the number of people arriving into the different regions of Somalia?<\/em><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

Data innovation solution<\/h2>\n

Predictive Analytics (Machine-Learning Time Series Analysis, ML TSA)<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_padding=”30px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_toggle title=”Papers and Citations” _builder_version=”4.25.0″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Guide to Mobile Data Analytics in Refugee Scenarios: Chapter 6 – Pioneering Predictive Analytics for Decision-Making in Forced Displacement Contexts <\/a><\/p>\n

Predictive analytics in humanitarian action: a preliminary mapping and analysis<\/a>
<\/a><\/p>\n

A Framework For The Ethical Use Of Advanced Data Science Methods In The Humanitarian Sector<\/a>
<\/a><\/p>\n

\u201cProject Jetson\u201d: An experiment for predicting movements of displaced people in Somalia using machine learning<\/a>
<\/a><\/p>\n

Using artificial intelligence to model displacement in Somalia<\/a><\/p>\n

Harnessing Data Innovation for Migration Policy: A Handbook for Practitioners<\/a><\/p>\n

Displaced Children and Emerging Technologies<\/a><\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”Media Outlets” _builder_version=”4.25.0″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

To Survive Disaster, Plan for the Worst (NYT Feb 2020)<\/a><\/p>\n

Tracking goats and bleach, artificial intelligence helps out in crises (Reuters, April 2019)<\/a><\/p>\n

The Potential and Practice of Data Collaboratives for Migration (SSIR March 2018<\/a><\/p>\n

How innovation from within is transforming International Organizations as well as lives<\/a><\/p>\n

Where do human migrate? Arte Documentary (French<\/a>,\u00a0<\/span>German<\/a>)<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”Blogs” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

A goat story<\/a><\/p>\n

Jetson: insights into building a predictive analytics platform for displacement<\/a>s it possible to predict forced displacement?<\/a><\/p>\n

Essays from the Edge of humanitarian innovation<\/a><\/p>\n

Workshop Recap: Predictive Analytics In Humanitarian Response<\/a><\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”Code\/data repo” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

https:\/\/jetson.unhcr.org\/ <\/a><\/p>\n

https:\/\/github.com\/unhcr\/Jetson\/wiki <\/a><\/p>\n

https:\/\/github.com\/omdena\/UNHCR <\/a><\/p>\n

[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

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