The MTN Academic Research Development and Innovation Challenge (MTN ARDIC) 2019

The MTN Academic Research Development and Innovation Challenge (MTN ARDIC) is an end-to-end support system where selected students would translate their ideas into solutions through a seamless access to applicable tools, data, platform and hands-on mentoring.

MTN will be hosting an exclusive launch of the event to connect with other organizations supporting MTN's mission to inspire young Nigerian to become entrepreneurs and foster their journey. Students, entrepreneurs and relevant stakeholders are invited to attend the 3 regional pitching events to pitch for the chance to win.

At the end of the challenge, MTN would provide the top 6 well-motivated Masters/PhD researchers who want to translate their research ideas into high-impact innovations with enabling platforms, APIs, data, training, mentorship and 6 months acceleration with Seedstars to further develop the ideas towards commercialization.


  • 6 projects will win N1m and go through a 6 months virtual accelerator run by Seedstars.
  • 10-15 selected ideas will pitch at each regional event.

Qualifying Research Areas


  • Econometric modeling and Advanced Scenario Analysis for Telco industry using macro-economic data
  • Media Optimization and Attribution Modeling of media advertising spend
  • Market footprint optimization for retail
  • Geo-marketing and Community churn modeling
  • Digital Media Optimization and real-time planning model
  • Use of GIS/Satellite Data for market sizing, characterization and SME clustering/valuation


  • Innovative Biometrics for multi-sectoral customer identification
  • Rural Telephone coverage technology and strategies
  • High scalable impact research in Block Chain for Telco and FinTech
  • Use of GIS and customer migration data for Health/Epidemiological and Smart City planning
  • AgriTech with emphasis on use of technology for agricultural yield optimization, storage and preservation
  • MedTech with emphasis on malaria prevention tech-solutions, efficient drug distribution, maternal-infant & child mortality reduction
  • Customer Complaints modeling using new media data and NLP

Application Deadline: 14 October, 2019.

For more information: VISIT HERE TO APPLY

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