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Recent Sessions with some of Africa's brightest minds.
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HR Manager @ Pernod Ricard Western Africa
Doctoral Student @ MIT
Senior Writer @ TechCabal
Creative Director @ Thalia Bespoke Nigeria
Senior Digital Communications Analyst @ Oando Plc
Educator @ Covenant University
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
International Criminal and Human Rights Lawyer
Senior Lecturer @ The Technical University of Kenya
Personal Brand Therapist | Bus Consultant | Relationship Counsellor | Content Creator @ NEST Consolidated
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Top answers from some of our sessions.
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I think that success is subjective. While it may seem that I've had a straightforward, uncomplicated trajectory to where I am now and that I've already made it, the journey has not been that simple, and I honestly haven't accomplished the majority of my goals in life. Up to this point I've often gone with the flow in choosing my experiences and prioritized doing things that I feel will be beneficial to others, particularly those in my community. This remains one of my guiding principles today.In terms of the ups and downs, I've had low points in my academic career while having wonderful moments in my personal life, the reverse, and periods where everything felt like it was going great or horrible. University at every level is an emotional experience. As I've grown up and reflected on the past, some things that I would consider extremely low moments may just have been inflated by my perception of the situation, being so young, and not having any long-term experiences in a non-academic setting. As I've grown older and been placed in many more serious personal and professional situations, I've realized that it's not the difficult moment itself that is challenging, but the process of dealing with it, moving forward, and maintaining mental resilience through it all. Our life is the creation of our mind. If I could give any advice to my younger self, it would be to protect the thoughts and energy I let into my mind, and prioritize taking care of myself in the present, no matter how focused I am on the future.

Ifueko Igbinedion
Doctoral Student @ MIT
African youth start from a difficult position in belonging to culture that venerate age, i.e. patrimonialism. African women are also in a similar quandary because of patriarchy: the man is the head of the household. So, while both the youth and the women are majority population categories in relation to the respective groups standing against them, they cannot muster the numbers to exploit their respective potential. On peace building, the way to go about identifying the role of the youth is to ask what the causes are of the lack of peace. Who/what is creating unrest and war, and why? The AU had committed to silencing the guns by 2020; so the question to ask is: what was driving the guns? What had been strategised for their silencing? What was actually done to silence them? And what was achieved? That would be a suitable stating point for an assessment of the youth's potential... But unfortunately, the youth have likely lost an idealism for change, and are captive of standards set by the older generation. The East African Institute's 2016 Kenyan Youth Survey Report found that more than half the respondents saw nothing wrong with evading taxes or taking bribes, as long as one is not caught. Making money "by hook or crook" was acceptable to 47%, and 40% would vote for a politician who paid for their vote! While that is not the standard picture of the African youth, it screams that we should not treat the African youth like some undifferentiated whole: after all, even fueling conflict is a money-making enterprise the youth might just want a stake in!!!

Dr. Othieno Nyanjom
Senior Lecturer @ The Technical University of Kenya
I think this is a bit dangerous. Attempting to ascertain sentimental correlations and apply them to huge financial decisions may work in certain contexts and you could definitely train a model with 99% training accuracy on this task, but future situations that are dependent on complex human action can never be adequately represented by a numerical parameterization and a finite state machine. If the model is not large enough, we will not learn all the possible combinations of interactions. If it is too large, then we only learn the context of our training dataset. That being said, you could do both and get good results during training. Personally, I do not have extensive NLP experience or Bayesian experience in production, but their fundamentals suggest that they would learn this type of model well independently or in conjunction. Naïve Bayes is good for state estimation-based decision making, and NLP can be used to model language and extract sentiment. However, these models depend completely on the input dataset that one utilizes, and the chosen labels (if using a supervised method) that are often subjective. Using data from the internet is also dangerous because it is next to impossible to have humans annotate every piece of training data without spending a large amount of money, and learning from problematic input data can lead to problematic situations.To make this less vague, take the 2016 example where Tay, a chatbot made by Microsoft and trained on Twitter data, became extremely racist in less than a day of online training (https://twitter.com/geraldmellor/status/712880710328139776). Attempting to determine causation in a data driven sense is a slippery slope, and until AI solves the data-driven generalization problem (which I believe may be never) I wouldn't build a system like this in production until I could guarantee significant human supervision and have looked at the ethical implications on those who do not financially benefit from the proposed system.

Ifueko Igbinedion
Doctoral Student @ MIT
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Picking the minds of Africa's finest.
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