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Considerable interest has been shown over recent decades in the application of quantitative methods in social sciences. The purpose of this paper is to discuss the ability to make predictions in social sciences with a focus on economics. Quantification of social and economic phenomena from the start of application had a lot of supporters but even more opponents, mathematics and methodological knowledge have passed the test of time and have lost none of their importance to the present day. The paper concludes that, forecasts may more desirable for many reasons. Namely, a better and more complete understanding of future trends and their effects will improve theories and models in economics and other social sciences. These improvements will greatly benefit those who explicitly seek to create a "ready society."

The present study provides a systematic estimate of male and female participation in agricultural production and usage of agricultural technology and examines their influence in the adoption of modern technology in three upazilas in Jamalpur district. The study was followed by the simple random sampling technique to select 190 sample of respondents for household survey through the semi-structured questionnaire. There has been a significant change with the livestock rearing activities which are 118.79% after adoption of new technology. It is evident that the decision regarding farming with adoption of new technology attains the highest rank. The second highest ranked decision is technical training on technology. Similarly, the third ranked decision is use of modern technology. The modern technology improves the quality of management and materials (seeds, land, tools). The experience on modern technology of respondents has a positive coefficient and it was 0.492. However, our research showed that about 65.2% of the respondents were women as users of traditional agricultural machinery. Given these facts, our research has explained what keeps women's rates of modern agricultural technology adoption low.