Lecture by Prof. T.Subba Rao (Professor, University of Manchester, UK)

28 Feb. 2008, CECTech, Hiroshima

The problem is to forecast the literacy, unemployment, family economic strengths, etc in an effort to provide better strategy for creating  policies to reduce the poverty.

Since there are many parameters involved in the problem, Intervention Time Series analysis can be the best approach to the solution.

Though not exact solution may come up as a result, but a possible forecast view can be recommended.

Dr. Rao explained the severity of the problem in India and the Indian government policies, that are being taken as input data for our study. The input data is taken for 1950 - 2000, the forecast results are expected for 2020.

Prof. Subba Rao, suggested that if the input data is available for more periods prior to 1950 also, the results can be more accurate in the proposed or discussed methods.

These sources include text books, which describe the mathematical formulae and research papers, which provide strategies adopted in the research so far published, and references of people who worked on such problems as of ours.

Prof. Ichikawa made some comments in respect of digital generation with fast development of mobile technology and its implications on society.

Prof. Subba Rao has made some suggestions on the problems they are currently working. He suggested future research on various topics that relate to society, science and technology.

Prof. Ichikawa and Dr. Rao shared the view point of Prof. Subba Rao and the research staff could learn the current scenarios and some directions of research.

The research staff are working on real-world problems that require mathematical or statistical  and software solutions.

Those problems specifically include, family relations in the changing world, software applications, technology for reducing seismic wave effect on buildings and bridges, etc.