Projects Dashboard

Projects Dashboard

The MIIA Projects Dashboard has been organized into its three Project Type categories: Application, Research, and Technology.

Click on the following buttons to respectively go the the Projects Overview page, submit a new project on the Submit Project page, or view the Projects Showcase for completed projects. If you have any questions, ideas, suggestions, and/or comments that relates to projects, please email us at info@miiafrica.org.  See Project Collaboration with Trello for an introduction to Trello, what it is and how to use it.

Application Projects Dashboard

 ID   Title   Description   Expected  Benefit   Industry   Problem/
 Opportunity 
 Funding   Phase   Leader   Other  Members   Partners 
 MA001  Social Network Reconstruction & Social Interaction Recording of an African community The idea is to develop a technical solution (say a camera) that could record social interactions and (using image processing/facial recognition) reconstruct the social network of a community. This information could be very useful for developing higher impact social interventions. 

Computational Social Sciences funding call (see below) from the Volkswagen Foundation.

This proposal is due 15 June.

Better understanding of African community dynamics

Advancing Social Science in Africa

Supports community building, learning, or collaboration 

Advancing technology

It could be a useful partnership and it would result in collaboration with GESIS, one of the world’s leading institutes for computational social science. 

Telecoms, Media, Technology

Tourism, Retail, & Property

 Lack of sustainable governance systems & crime prevention; 

Lack of technology and manufacturing competitiveness

 

 Funded (TBD)  Funding Charles Copley   Eli Grant Volkswagen Foundation
 MA002  Africa Health data capturing & analysis via mobile app   Africa Health data capturing & analysis via mobile app  Addressing an African problem or opportunity  Healthcare Poor healthcare  Require funding  Approval  TBD TBD   Praekert Foundation
 MA003 Cognitive application for advancing African Education 

 Cognitive application for advancing African Education 

 
 Addressing an African problem or opportunity  Education  Poor education & skills development Require funding  Approval   TBD   TBD  TBD
 MA004  Traffic congestion in Africa major cities  Traffic congestion in Africa major cities Addressing an African problem or opportunity  Infrastructure (Smarter cities)  Poor infrastructure (transport) & energy shortages

Require funding

 Approval   TBD   TBD  TBD
 MA005 Geospatial data analysis for financial inclusion  Geospatial data analysis for financial inclusion  Addressing an African problem or opportunity  Finance  Lack of employment and access to financial resources Require funding  Approval    TBD   TBD  Cenfri.org & i2i (Insight2Impact)
 MA006 Social Network Analysis using Mobile data  Social Network Analysis using Mobile data  Addressing an African problem or opportunity  Finance  Lack of employment and access to financial resources Require funding  Approval   TBD   TBD Cenfri.org & i2i (Insight2Impact)
 MA007 Market intelligence, cross-border studies and policy analysis for financial inclusion  Market intelligence, cross-border studies and policy analysis for financial inclusion  Addressing an African problem or opportunity Finance   Lack of employment and access to financial resources Require funding  Approval   TBD   TBD  FSD Africa
 MA008  Electronic immunization registry & data analysis    Electronic immunization registry & data analysis   Addressing an African problem or opportunity  Healthcare  Poor healthcare Require funding  Approval   TBD   TBD  Bid Initiative
 MA009 A distributed health system which relies on mobile phones for access to the health record  A distributed health system which relies on mobile phones for access to the health record  Addressing an African problem or opportunity  Healthcare  Poor healthcare  Require funding  Approval   TBD   TBD  Bid Initiative
 MA010 Machine Intelligence approach to sustainable governance systems  Machine Intelligence approach to sustainable governance systems  Addressing an African problem or opportunity  Government

 Lack of sustainable governance systems & crime prevention

Weakening of representative democracy 

Require funding  Approval   TBD   TBD  TBD
 MA011  Data Science and Renewable Energy in Africa   Data Science and Renewable Energy in Africa  Addressing an African problem or opportunity  Energy  Poor infrastructure & energy shortages Require funding  Approval   TBD   TBD  TBD
 MA012 Using mobile data for inferring the source and spread of diseases  Using mobile data for inferring the source and spread of diseases  Addressing an African problem or opportunity Healthcare   Poor healthcare  Require funding  Approval   TBD   TBD  TBD
 MA013  Mobile app and analysis dealing with emerging crises or market opportunities   Mobile app and analysis dealing with emerging crises or market opportunities  Addressing an African problem or opportunity

 Tourism, Retail, & Property

Healthcare

Infrastructure, Transport, & Logistics

 Lack of sustainable governance systems & crime prevention

Poor healthcare

Increasing water stress (lack of clean drinking water)

Lack of technology and manufacturing competitiveness

Require funding  Approval   TBD   TBD  TBD
 MA014  Pollution analysis in Africa  Pollution analysis in Africa   Addressing an African problem or opportunity

 Infrastructure, Transport, & Logistics

Tourism, Retail, & Property

Agribusiness & Forestry

 Rising pollution in the developing world   Require funding  Approval   TBD   TBD  TBD
 MA015  Numberboost Geocoding a business’ customer database, plot those customers on a map, and do feature extraction from spatial datasets (e.g. census, house prices, voting data, etc) and then have an interactive dashboard to filter spatial correlations and do some other fun machine learning stuff e.g. use the features for better churn prediction, recommendation engines etc    Addressing an African problem or opportunity

 Finance

 Infrastructure, Transport, & Logistics

Tourism, Retail, & Property

Government

 

 Lack of employment and access to financial resources

Lack of technology competitiveness

 Lack of sustainable governance systems & crime prevention

Weakening of representative democracy 

 Funded (won 1st prize of R50k in LaunchLab competition)  Execution  Alex Conway  Qobo  TBD
 MA016  Constructing spatiotemporal poverty indices from big data  Big data offers the potential of calculating timely estimates of the socioeconomic development of a region. Mobile telephone activity provides an enormous wealth of information that can be utilized along with traditional household surveys. Estimates of poverty and wealth rely on the calculation of features from call detail records (CDRs). However, mobile network operators are reluctant to provide access to CDRs due to commercial sensitivity and privacy concerns. As a compromise, we show that a relatively sparse CDR dataset combined with other publicly available datasets based on satellite imagery can yield competitive results. In particular, we build a model using two features from the CDRs, mobile ownership per capita and call volume per phone, combined with normalized satellite nightlight data and population density, to estimate the multi-dimensional poverty index (MPI) at the sector level in Rwanda. Our model accurately predicts the MPI for sectors in Rwanda that contain mobile phone cell towers Addressing an African problem or opportunity

 Finance

 Infrastructure, Transport, & Logistics

Tourism, Retail, & Property

Government

Socio-economic development of a region

 

Lack of employment and access to financial resources

 Funded  Execution  Patrick McSharry   CMU in Rwanda
                     


 

Research Projects Dashboard

 ID   Title   Description   Expected  Benefit   Industry   Problem/
 Opportunity 
 Funding   Phase   Leader   Other  Members   Partners 
MR001 Machine Intelligence to enhance our World  Book on Machine Intelligence to enhance our World  Supports community building, learning, or collaboration  Research & Technology communictions to support applictions in other industries Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Preparation Jacques Ludik  TBD  TBD
MR002 Cognitive Computing Research and Applications in Healthcare  Cognitive Computing Research and Applications in Healthcare Advancing research & technology for applications Research & Technology to support applictions in other industries

 Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR003 Cognitive Computing Research and Applications in Education  Cognitive Computing Research and Applications in Education Advancing research & technology for applications  Research & Technology to support applictions in other industries Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR004 Cognitive Computing Research and Applications in Finance  Cognitive Computing Research and Applications in Finance  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR005 Cognitive Computing Research and Applications in Agriculture  Cognitive Computing Research and Applications in Agriculture  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR006 Deep Learning Research & Applications for Education  Deep Learning Research & Applications for Education  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR007 Deep Learning Research & Applications for Healthcare  Deep Learning Research & Applications for Healthcare  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR008  Deep Learning Research & Applications for Finance   Deep Learning Research & Applications for Finance  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR009  Deep Learning Research & Applications for Agriculture   Deep Learning Research & Applications for Agriculture  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
MR010  Machine Intelligence to transform Africa  Book on Machine Intelligence to transform Africa Supports community building, learning, or collaboration   Research & Technology communictions to support applictions in other industries in Africs  Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Approval  TBD  TBD  TBD
MR011 Advancing state-of-the-art in Recurrent Neural Networks and Sequence-to-Sequence Machine Learning  Advancing state-of-the-art in Recurrent Neural Networks and Sequence-to-Sequence Machine Learning  Advancing research & technology for applications

 Research & Technology to support applictions in other industries 

 Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR012 Use of Tensor methods and novel techniques in non-convex optimization to solve 

complex highly- dimensional problems

 Use of Tensor methods and novel techniques in non-convex optimization to solve 

complex highly- dimensional problems

 Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD Approval   TBD  TBD  TBD
 MR013 Advancing the state-of-the-art in Unsupervised Learning by incorporating learnings from both neuroscience and machine learning  Advancing the state-of-the-art in Unsupervised Learning by incorporating learnings from both neurosience and machine learning 

(e.g., build causal understanding of sensory space with temporal correlations of concurrent & sequential sensory signals)

 Advancing research & technology for applications  Research & Technology to support applictions in other industries Lack of technology competitiveness;

Poor education & skills development

 
 TBD  Approval  TBD  TBD  TBD
 MR014  Deep Learning research and applications in genomics   Deep Learning research and applications in genomics  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR015 Application of evolutionary computation in applications such as robotics, software agents, design and web commerce  Application of evolutionary computation in applications such as robotics, software aents, design and web commerce  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR016  Combining control principles with reinforcement learning for robust machine learning applications   Combining control principles with reinforcement learning for robust machine learning applications  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR017 Advancing the state-of-the-art in Topological based analysis of data sets to uncover the shape of data sets  A topological approach allows you to study datasets without assuming a shape beforehand and to combine various machine learning techniques while maintaining guarantees about the underlying shape of the data.  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR018 Advancing the state-of-the-art in Attention models for powerful learning algorithms that require ever less data to be successful on harder problems Attention models represent a promising direction for powerful learning algorithms that require ever less data to be successful on harder problems  Advancing research & technology for applications  Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD  Approval  TBD  TBD  TBD
 MR019

Advancing the state-of-the-art in Probabilistic Graphical Models (PGMs) research and applications

 Advancing the state-of-the-art Probabilistic Graphical Models (PGMs) research and applications  Advancing research & technology for applications    Research & Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 TBD Approval  Jaco du Toit Jacques Ludik; TBD  TBD
 MR020 Advancing the state-of-the-art in Knowledge represenation architectures research and applications  Advancing the state-of-the-art in Knowledge represenation architectures that are instantly melleable and shapeable by the environment (e.g., sensory learning using patterns and sequences of patterns in cause-effect versus probabilistic way)  Advancing research & technology for applications   Research & Technology to support applictions in other industries   Lack of technology competitiveness;

Poor education & skills development

 TBD Approval   Jacques Ludik  TBD TBD 
                     
                     

 



 

Technology Projects Dashboard

 ID   Title   Description   Expected  Benefit     Industry 

 Problem/  Opportunity 

 Funding   Phase   Leader   Other  Members   Partners 
 MT001 Spark for distributed machine learning MIIA team utilizing & sharing learnings with spark fro distributed Machine Learning Advancing research & technology for applications Technology to support applictions in other industries Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding Preparation  TBD  TBD  TBD
 MT002  TensorFlow MIIA team utilizing & sharing learnings with TensorFlow & Open source Deep Learning software platform Advancing research & technology for applications  Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding Preparation Jacques Ludik  TBD  TBD
MT003   IBM Watson on Bluemix  MIIA team utilizing and sharing learning with IBM Watson on Bluemix  Advancing research & technology for applications  Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding Preparation  TBD

 TBD 

 TBD
MT004  NuPIC NuPIC (Numenta Platform for Intelligent Computing)  Advancing research & technology for applications  Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding Preparation TBD   TBD  TBD
MT005 Microsoft Cortana  Microsoft Cortana  Advancing research & technology for applications  Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Preparation TBD   TBD  TBD
MT006  IBM Watson AI XPRIZE, a Cognitive Computing Competition

It is a $5 million competition (announced on the TED Stage on Feb 17, 2016) challenging teams from around the world to develop and demonstrate how humans can collaborate with powerful cognitive technologies to tackle some of the world’s grand challenges.

Every year leading up to TED2020, teams will go head-to-head at World of Watson, IBM’s annual conference, competing for interim prizes and the opportunity to advance to the next year’s competition.

The three finalist teams will take the TED stage in 2020 to deliver jaw-dropping, awe-inspiring TED Talks demonstrating what they have achieved. 

 

 Advancing technology & research

Supports entrepreneurial activity

Technology to support applictions in other industries

 Healthcare

Education

Agribusiness & Forestry

Finance

Infrastructure, Transport, & Logistics

Manufacturing & Services

Energy, Oil & Gas, Mining

Telecoms, Media, Technology

 Poor education & skills development

Poor healthcare

Lack of employment 

Lack of sustainable governance systems & crime prevention

Poor infrastructure (transport) & energy shortages

Food shortages and ineffective agriculture sector

Lack of technology and manufacturing competitiveness

 Don’t require funding  Preparation  Jacques Ludik TBD   TBD
MT007 DiDi Research – Algorithm Competition 

DiDI Research – Algorithm Competition

As less than 10% of China’s 1.4 billion citizens own automobiles, the frequency at which Chinese citizens commute on taxis, buses, trains, and planes is the highest in the world. Didi Chuxing, the dominant ride-hailing company in China, processes over 11 million trips, plans over 9 billion routes and collects over 50TB of data per day. To meet needs of riders, Didi must continually innovate to improve cloud computing and big data technologies and algorithms in order to process this massive amount of data and uphold service reliability.

 
 Supply-demand forecasting is critical to enabling Didi to maximise utilisation of drivers and ensure that riders can always get a car whenever and wherever they may need a ride. Supply-demand forecasting helps to predict the volume of drivers and riders at a certain time period in a specific geographic area. For instance, demand tends to surge in residential areas in the mornings and in business districts in the evenings. Supply-demand forecasting allows Didi to predict demand surges and guide drivers to those areas. The end result is higher earnings for drivers and no surge pricing for riders!  Technology to support applictions in other industries  Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Preparation

 TBD

 TBD  TBD
MT008 Google Cloud Platform & App engine

Google Cloud Platform & App engine

 Advancing research & technology for applications  Technology to support applictions in other industries   Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Preparation TBD   TBD  TBD
MT009 Open source Python ecosystem for Machine Learning  Open source Python ecosystem for Machine Learning  Advancing research & technology for applications  Technology to support applictions in other industries   Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Preparation  TBD  TBD  TBD
MT010 Plotly  Plotly Advancing research & technology for applications   Technology to support applictions in other industries   Lack of technology competitiveness;

Poor education & skills development

 Don’t require funding  Preparation TBD  TBD   TBD
                     
                     

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