Electricity is a vital resource for country’s development. Efficient management of electricity production, distribution and supply is vital for not only the economy but also for the environment. Bangladesh as a developing country needs well managed electricity-energy eco system to ensure continuous economic development. The prerequisite of a well-managed electricity eco system, are policies driven by robust knowledge of the demand and supply needs. Better management of public utility requires fulfillment of prerequisites: a. understanding the consumers and their economic health, b. understanding how regulatory decisions impact their behavior and c. forecasting short, mid and long-term demand of the public utility. Bangladesh lacks data driven research that sheds light on various aspects of electricity eco system and may help the policy makers. [IoT devices – smart grid – consumer]
A well-structured inland waterways system should help Bangladesh fulfill SDG goals. In this study, we employ complex network analysis methods to analyze the river-port network of the country. We ascertain different types of ports based on their importance and placement in the connectivity network. Data regarding port location, vessel routes, and schedules were collected from governmental resources. Using the data, a connectivity network was built for further analysis. Different measures of network analysis are used to categorize the ports and the network model has been identified. These categories should help transportation planners and policymakers to better design the inland waterways network of Bangladesh.
Analysis of traffic pattern recognition and traffic congestion expansion in real time is one of the exciting and challenging tasks which help the government to build a robust and sustainable traffic management system especially in a densely populated city like Dhaka. Traffic congestion is one of the most alarming problems of Dhaka, the capital of Bangladesh. However, not much work had been done on modeling of traffic patterns for Dhaka city. Traffic analysis based on survey work, satellite data, GPS traces from vehicles, mobile CDR data can be incorporated with population and other demographic statistics to come up with reasonable traffic models. Moreover, the impact of different factors (such as types of land use, operating time and locations of educational institutions, offices and market places, road and railway intersections, and number of bus routes) on the traffic intensity and pattern can give valuable insights. New technologies also enable cost effective measurement and analysis of the impact of different policies (e.g., having restriction of vehicles on certain roads, authorization of new housing societies, industry or commercial organizations at certain locations).
Innovations in education has been happening all around the world starting from designing new tools for learning, distribution of educational material, to new tools for effective training and promoting collaboration among teachers. However, the effectiveness of these tools in the enhancement learning environments, retention of students in class has not been adequately measured or analyzed so far. The Government of Bangladesh has been pushing the use of ICT (Information and Communication Technology) as an educational tool in the classrooms of the country. Authorities have focused on infrastructure – network, computers, even online content repositories. However, even after consistent effort, digital inclusion in the classrooms has not been satisfactory. Research endeavors are required to find the reasons behind this phenomenon. Specifically, finding out whether or not the educators are willing to use the new technology, and if not the reason behind it can inform policy makers to make such efforts more much more effective.
Computational methods can help make health care policymaking more informative. The techniques of visualization, finding various clusters, forecasting etc. can help the policymakers to anticipate resources required for allocating resources. Big data opened up a potential for data-centric research in healthcare.