27.01.2021 . 16:30—18:30

AI and Environmental Sustainability: Earth Observations

Theme: Sustainability

A Community Event from MKAI

Location: Virtual
Format: Talks

MKAI January Technical Forum | AI and Environmental Sustainability | Part 1: Earth Observations

Series Rationale: The race to protect the earth gets more critical every year. The world is set to see its warmest five years on record – in a trend which is likely to continue – and is not on track to meet agreed targets to keep global temperature increase well below 2 °C or at 1.5 °C above pre-industrial levels. Atmospheric CO2 concentrations showed no signs of peaking and have continued to increase to new records. The Emissions Gap Report 2019 showed that the cuts in global emissions required per year from 2020 to 2030 are close to 3% for a 2 °C target and more than 7% per year on average for the 1.5 °C goal of the Paris Agreement. Organizations and governments are waking up, taking action, but the pace is just not matching up. We need to piggyback on exponential technologies if we are to ride out this wave successfully.

Series Objectives: Through this series of three MKAI Technical Forums, we will learn more about the massive opportunities on the horizon to shape markets and consumer behaviours with environmental data and artificial intelligence. The three forums will cover the topics of how AI is being used to create use cases around 1.) Earth Observations Data 2.) Protecting Biodiversity with AI and 3.) Sustainable Smart Cities. In January we hear from leading technical speakers about the use cases for ‘AI’ in ‘EO’.

Event Agenda

Prof. Dr. Gilberto Camara
Ontology meets Machine Learning: Challenges in Big Earth Observation Data Analysis
Grega Milcinski
So much data, yet so little use (so far)
Catherine Nakalembe (Ph.D.)
Harnessing EO with Machine Learning for Food Security in Africa

Assistant Research Professor, University of Maryland