Data Farming in Singapore: A brief history

This paper gives a summary of Singapore¿s involvement in data farming since 2002, tracing the country¿s progression from basically ¿zero¿ to a key partner in the international data farming community. It highlights how the data farming methodology, coupled with efficient experiment designs, visualization concepts, and evolutionary algorithms, has helped to extend the analytical capability of conducting studies and experiments. The paper also described some past and current research and development (R&D) projects inspired by the ideas shared among this highly interactive and dynamic international community. These include systematic data farming (SDF), automated red teaming (ART), automated co-evolution (ACE), and modeling the effects of human intangibles. Last but not least, the way forward for Singapore in data farming is discussed.