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How can African scientists contribute to the reduction of climate change consequences

2021-09-21

Africa is the most vulnerable continent to climate change impacts regardless of its low contribution to global greenhouse gas emissions. Since the industrial revolution (1751), the world has emitted over 1.5 trillion tonnes of Carbon-dioxide (CO2).  Historically, Africa contributed only 3% of the global historical contribution. According to Our World Data, today, China leads the list […]

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"Pregnant women have been identified as a high-risk group and have a higher mortality rate and more severe complications than women who are not pregnant," NEF Fellow @MrsMaswime—wondering if pregnant women can get vaccinated? 👉🏾 https://t.co/Mw8ognZb9y. https://t.co/yfPPf15sAL

#ICYMI, AIMS-Canada Research Chair in Climate Change Science, Dr @BambaClimate, participated in the 9th Conference on #Climate Change and #Dev in Africa. "More funding is needed to address these issues and fill the gaps for the next international assessment reports," he said. https://t.co/SSRgDM2kAc AIMS_Next photo

With the advancement of the internet, data is increasingly becoming one of the essential commodities. Now, companies use consumer data to provide tailored experiences. Through @QL_Africa, we are preparing Africa for the coming quantum revolution 👉🏾 https://t.co/E8i2KFAaNd. https://t.co/jN4f6nDcRf

AIMS wishes you a happy #InternationalDayofPeace. We recognize that peace in Africa is a critical factor determining our success and that of the young #Africans we are training; it shapes the environment in which we teach and learn.
#PeaceDay https://t.co/ygIEZwTwqV
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Africa contributes 2-3% of the global green gas emissions, yet, it is the most at risk continent to climate change impacts regardless of its low contribution. We think that fostering cutting-edge research in #climate change is one of the best solutions. 👉🏾 https://t.co/qT1wgD5Wdv. https://t.co/JjQIOHbRuW

Can #MachineLearning help creditors assess the creditworthiness of borrowers? Find out! Read "A Machine Learning Approach for Micro-Credit Scoring," a paper by our Alumnus, @NdeTitus, via https://t.co/G8eIbsRaqe. https://t.co/SjOwuy09Cr AIMS_Next photo
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