Top Tweets for #HKSTech
Some innovations may seem disruptive when novel. But radio still survives today after TV, & more horses in the US today than 1c ago #HKSTech
Dr. @Calestous giving final remarks on "Emerging Technologies & Global Development" conference at @Harvard #HKSTech
New species of tech. innovation require new forms of legislation. @calestous Eg. Existing aviation law =/=> drone law #HKSTech
#HKSTech At @BelferCenter, discussing cargo drone benefits in #Rwanda. #Innovation cc :@SciTechGlobal @zipline
...Range of different benefits/challenges to overcome, new infrastructure required, mixed public response, and still many unknowns #HKSTech
Drones are quickly becoming cheaper,more efficient + w better ground infrastructure.Discussing #drones for #development w @Kiran2Go #HKSTech
Interesting parallels between emerging drone technology and #culturedmeat science (although drones are much more advanced atm) #HKSTech
#HKSTech Prof. Resende: Should we rethink higher education systems & curricula to drive innovation in Africa? @SciTechGlobal @BelferCenter
#HKSTech Porf. Resende's book on African innovation hubs available at https://t.co/0x4oarh5JX
Kenya’s mobile phone tech revolution hailed as a good example of focus on low end solution to social challenges. #HKSTech
Prof. Resende: The hubs remain isolated and disconnected from the various actors eg. Research in Universities #HKSTech
#HKSTech Prof. João Resende-Santos: Fertile innovation environment necessary to grow small and large scale innovation hubs
Prof. Resende : We inadequately label high end innovation. Attention must also be given to low end solutions to social challenges #HKSTech
#HKSTech Prof. João Resende-Santos discussing innovation & emerging hubs of excellence in #Africa @BelferCenter
We are at #HKSTech discussing the pathways and potential of #data, #innovation and #technology to address global #development challenges
#HKSTech #Harvard Conference on Emerging Technologies&Development @calestous https://t.co/sC5bdZg3oV #CalestousJuma
#HKSTech Gro Intelligence's predictions of crop yields mimic USDA's, without using massive amount of manpower and resources
#HKSTech Gro Intelligence used machine learning to predict annual corn yields within 10% accuracy for 75% of corn-growing counties in the US
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