This event is endorsed
and organized by

8th EAI International Conference on e‐Infrastructure and e‐Services for Developing Countries

December 6–7, 2016 | Ouagadougou, Burkina Faso


2nd African Workshop on Open Data and Social Media Mining for Development


Mine4Dev develops a series of workshops where research and practice on open data and data mining are put together to support a balanced growth in African developing countries. This workshop will be held on a yearly basis. Experts from different fields in academia, industry and government will present their experiences and visions on open data, their applications and the results obtained by applying data mining to further development.

Mine4Dev is a focused workshop in the world of ICT4D events where newcomers in the field can get a fast introduction to Open Data and Data Mining by taking a tutorial that will run in connection with the workshop. We also plan for a problem/solution day where participants will have the opportunity to present their application and ask for support by others or for cooperation in solving the problem.


Open Data Track

It is now commonly accepted that ICT4D has the potential of drastically enhancing the daily life of millions of people in developing countries. A major challenge of ICT4D however is to build tools and yield results that are in line with the context of developing countries. This challenge can be addressed when relevant data is made available to everyone for mining.

In this context, the momentum of Open Data which is supported by NGOs, governments and international organisations, has created numerous opportunities for ICT4D. Mining those data to extract hidden information, uncover correlation and predict events based on machine-learning classification is thus the next step for bringing development forward thanks to ICT.

This track of the workshop then aims at becoming the premier forum where practitioners, policy makers and researchers meet and discuss about issues and trends, recent research, innovation advances and on-the-field experiences related to the combination of open-data and data-mining with a focus on developing countries.

The topics of interest to this track of the workshop include, but are not limited to:

- civic education regarding the increase of public awareness about the functioning of the administration and public services (e.g. network of public transportation),

- wellbeing regarding the anticipation/management of health crises (e.g. effective prevention of high-risk behaviors),

- sustainable development for the savings of resources that can be driven by data mining (e.g. rational use of energy and waste management),

- support mechanisms for helping economic operators to make decisions that lead to profitable outcomes relatively to their activities (e.g. farmers and crop management according to best practices),

- economic growth in terms of business opportunities/business models raised by the availability of open data (e.g. supply of analysis tools dedicated to the informal sector),

- development of smart spaces in which people can make use of digital services that facilitate and enhance their daily life.


Social Media Mining Track

The social media better known as Web 2.0 are Internet-based applications that provide many services allowing users to create social networks by different activities. Users can produce and share information with others. These activities generate a massive amount of data that is the backbone of research on social media. The Social media mining covers several disciplines of many fields of science: complex networks, data mining, social network analysis, ethnography, statistics, economy, biology.

This track of the workshop aims first at providing recent results on Social media mining in developing countries, and second at bringing together African researchers working on Social media mining and other areas related to complex networks.

During the last few years social media have become not only popular but also affordable in developing countries. Social media are profoundly changing the way that people communicate and interact on a daily basis. Social media is more and more used as favorite channel for events in Africa: election, opposition protests, trade union rallies, entertainment, etc. All these activities on the social media generate data that constitutes an important resource for many fields of research.

The social media data is a powerful for government and companies to understand and anticipate many problems in developed countries but it is not yet the case in developing countries where leaders are disconnected from the reality of the daily life of their population causing steadily protests against the government. Many problems related to the expectations of the population in African countries may be highlighted through the social media mining.

The topics of interest are, but not limited to, the mining of social media data:

·          Social media and security risks

·          Retrieving Social media Data,

·          Extraction of implicit social networks from activities on social media

·          Analysis of organizations of civil society activities through social media

·          The use of social networks and social networking concepts in Social media

·          New forms of collaborative computing and resource sharing

·          Social media applications

·          Novel models and methodologies for harnessing digital relationships.



The workshop accepts novel and previously unpublished papers. Manuscripts should be written in English. We suggest the authors to format their papers according to AFRICOMM 2016 instructions in the link below.

Papers, when properly formatted, must not exceed the size limits stated for the paper categories as follows:

1. Research papers: no more than 10 pages of original work with strong scientific content with research findings

2. Review papers: no more than 10 pages summarizing the current state of understanding on Open Data or Social Data mining

3. Practice papers: no more than 5 pages presenting experiences with Open Data or Social Data mining

4. Student papers: no more than 5 pages describing on-going work for a Master or PhD program

5. New Idea and Emerging Results papers: no more than 5 pages describing work-in-progress, ground-breaking work, and results in progress.


Organisation committee

BISSYANDE Tegawendé F. (Université du Luxembourg)

OUOBA Jonathan (VTT, Finland)

OUEDRAOGO T. Frederic (Université de Koudougou, Burkina Faso)

TIENDREBEOGO Telesphore Polytechnique de Bobo Dioulasso, Burkina Faso)


Submit your paper for Mine4Dev via Confy system here.