Bringing Big Data into Data Poor locations

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As indicated by Industry 4.0, we are in an era of Big Data, in which several emergent technologies (AI, IoT, 5G, 3D printing and Quantum Computing) will interact to accelerate data flows into developing countries. But so far, Industry 4.0 only focuses on bringing data to urban industrial sectors that are already data intensive – thereby widening digital divides. Digital Divide Institute is working with the Food and Agriculture Organization of the United Nation (FAO) to promote a local model called E-semeton for bringing Big Data to establish “e-agriculture,” for food security and elasticity of supply and demand.

In the picture above, Ketut Kartika Tanjana and Digital Divide Institute’s Craig Warren Smith, co-authors of the E-semeton model, participate in a launch event for E-semeton in a traditional market in Bali in January 2020. The aim of the project is to enable the right foods to arrive into markets at the right time at the right price. Beyond this, the aim is to build a new genre of microcredit businesses tied to traditional markets to process immunity-promoting foods delivered through ecommerce via cashless bank transactions.  Digital Divide Institute wishes to support a brilliant concept called “Data Cooperatives”  developed by a team from MIT,  led by Prof Alex (Sandy) Pentland in a new book, called Building The New Economy  which furthers a plan to give low-income citizens control over their own data and its monetization.

The approach to bottom-up data management  recognizes that data is the new driver of our era,  and it  could remake data economics altogether,  challenging Big Tech companies to pay for data that they now freely sell on an open market. Digital Divide Institute may conduct test marketing of the data cooperatives concept to the Indonesian Ministry of  Cooperatives, to be integrated into the E-sematon model.

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