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Workshop: Machine Learning for the Developing World (ML4D): Improving Resilience

Tejumade Afonja, Konstantin Klemmer, Niveditha Kalavakonda, Femi (Oluwafemi) Azeez, Aya Salama, Paula Rodriguez Diaz

2020-12-12T04:00:00-08:00 - 2020-12-12T14:00:00-08:00
Abstract: A few months ago, the world was shaken by the outbreak of the novel Coronavirus, exposing the lack of preparedness for such a case in many nations around the globe. As we watched the daily number of cases of the virus rise exponentially, and governments scramble to design appropriate policies, communities collectively asked “Could we have been better prepared for this?” Similar questions have been brought up by the climate emergency the world is now facing.
At a time of global reckoning, this year’s ML4D program will focus on building and improving resilience in developing regions through machine learning. Past iterations of the workshop have explored how machine learning can be used to tackle global development challenges, the potential benefits of such technologies, as well as the associated risks and shortcomings. This year we seek to ask our community to go beyond solely tackling existing problems by building machine learning tools with foresight, anticipating application challenges, and providing sustainable, resilient systems for long-term use.
This one-day workshop will bring together a diverse set of participants from across the globe. Attendees will learn about how machine learning tools can help enhance preparedness for disease outbreaks, address the climate crisis, and improve countries’ ability to respond to emergencies. It will also discuss how naive “tech solutionism” can threaten resilience by posing risks to human rights, enabling mass surveillance, and perpetuating inequalities. The workshop will include invited talks, contributed talks, a poster session of accepted papers, breakout sessions tailored to the workshop’s theme, and panel discussions.


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2020-12-12T03:30:00-08:00 - 2020-12-12T14:00:00-08:00
Join us in Gather.Town during Breakouts, Networking and Poster Sessions!
2020-12-12T04:00:00-08:00 - 2020-12-12T04:05:00-08:00
Opening Remark by the ML4D Steering Committee Chair
Maria De-Arteaga
2020-12-12T04:05:00-08:00 - 2020-12-12T04:18:00-08:00
Introduction and Agenda Overview
Tejumade Afonja
2020-12-12T04:18:00-08:00 - 2020-12-12T04:20:00-08:00
Introduction of Invited Talk 1
Tejumade Afonja
2020-12-12T04:20:00-08:00 - 2020-12-12T04:35:00-08:00
Invited Talk 1: Resilient societies - A framework for AI systems
Anubha Sinha
2020-12-12T04:40:00-08:00 - 2020-12-12T04:50:00-08:00
Live QA with Anubha Sinha
Anubha Sinha
2020-12-12T04:50:00-08:00 - 2020-12-12T04:52:00-08:00
Introduction of Invited Talk 2
Konstantin Klemmer
2020-12-12T04:52:00-08:00 - 2020-12-12T05:15:00-08:00
Invited Talk 2: Artificial Intelligence in Earth Observation for the Developing World
Xiaoxiang Zhu
2020-12-12T05:20:00-08:00 - 2020-12-12T05:30:00-08:00
Live QA with Xiaoxiang Zhu
Xiaoxiang Zhu
2020-12-12T05:30:00-08:00 - 2020-12-12T06:00:00-08:00
Breakout Session
2020-12-12T06:00:00-08:00 - 2020-12-12T07:00:00-08:00
Poster Presentation
2020-12-12T07:00:00-08:00 - 2020-12-12T07:02:00-08:00
Introduction of Invited Talk 3
Aya Salama
2020-12-12T07:02:00-08:00 - 2020-12-12T07:27:00-08:00
Invited Talk 3: Using Search Data to Inform Public Health in Africa
Elaine Nsoesie
2020-12-12T07:32:00-08:00 - 2020-12-12T07:42:00-08:00
Live QA with Elaine Nsoesie
Elaine Nsoesie
2020-12-12T07:42:00-08:00 - 2020-12-12T07:44:00-08:00
Introduction of Invited Talk 4
Paula Rodriguez Diaz
2020-12-12T07:44:00-08:00 - 2020-12-12T08:07:00-08:00
Invited Talk 4: Colombian Mining Monitoring (CoMiMo) - detecting illegal mines using satellite data and Machine Learning
Santiago Saavedra
2020-12-12T08:12:00-08:00 - 2020-12-12T08:22:00-08:00
Live QA with Santiago Saavedra
Santiago Saavedra
2020-12-12T08:22:00-08:00 - 2020-12-12T09:22:00-08:00
Networking Session
2020-12-12T09:22:00-08:00 - 2020-12-12T09:32:00-08:00
Contributed Talk 1: Explainable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
Chiara Ledesma
2020-12-12T09:32:00-08:00 - 2020-12-12T09:42:00-08:00
Contributed Talk 2: Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
2020-12-12T09:42:00-08:00 - 2020-12-12T09:44:00-08:00
Introduction of Invited Talk 5
Niveditha Kalavakonda
2020-12-12T09:44:00-08:00 - 2020-12-12T10:07:00-08:00
Invited Talk 5: Earth Observations and Machine Learning for Agricultural Development
Catherine Nakalembe
2020-12-12T10:12:00-08:00 - 2020-12-12T10:22:00-08:00
Live QA with Catherine Nakalembe
Catherine Nakalembe
2020-12-12T10:22:00-08:00 - 2020-12-12T10:33:00-08:00
Contributed Talk 3: Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers
Thomas Vetterli
2020-12-12T10:33:00-08:00 - 2020-12-12T10:43:00-08:00
Contributed Talk 4: Incorporating Healthcare Motivated Constraints in Restless Bandit Based Resource Allocation
Aviva Prins
2020-12-12T10:43:00-08:00 - 2020-12-12T11:43:00-08:00
Poster Presentation
2020-12-12T11:43:00-08:00 - 2020-12-12T12:13:00-08:00
Breakout Session
2020-12-12T12:15:00-08:00 - 2020-12-12T13:15:00-08:00
Discussion Panel with Amanda Coston
Amanda Coston, Elaine Nsoesie, Catherine Nakalembe, Santiago Saavedra, Xiaoxiang Zhu, Ernest Mwebaze
2020-12-12T13:15:00-08:00 - 2020-12-12T13:35:00-08:00
ML4D Townhall
Artur Dubrawski
2020-12-12T13:35:00-08:00 - 2020-12-12T13:45:00-08:00
Closing Notes