Bangladesh QoL Indicators

Bangladesh turns 50 on 26th of March 2021. To celebrate this auspicious moment, we would like to present to our policymakers, development researchers, educators, and enthusiasts a web portal that endeavors to visualize Bangladesh from traditional and nontraditional data. Along with presenting various time series, correlational, map-based visualizations of traditional data we also present ranks of districts based on their most recent standing on specific indicators. The portal gives researchers and enthusiasts a chance to build composite indicators to capture the progress of living standards by varying weights of individual indicators, create their own rankings and clusters, and finally visualize them. We also present our ongoing research on non-traditional data sources to create potential alternative indicators for electricity consumption, land use, connectivity, and pollution.

Data and Design Lab hopes that this platform will grow as we acquire newer data and learn novel visual methods with the help of the participation, comments, criticisms and suggestions of the platform users. We invite you to visit and send us your feedback.

See the site in action at https://bdqol.dndlab.org

Data & Design Lab

Welcome to Data and Design lab. Here we blend Data science, machine learning, statistical inference with human-centric design principals to aid policymakers what they do the best – policymaking. We believe evidence-based policymaking can help policy-making easier and efficient. However, we do not think everything can be solved from data-driven knowledge. We, therefore, focus only on certain fields- energy, education, ICT, health- where there is an access to data that can be harnessed. 
 
Data science- encompasses ideas and thoughts from computational social science, machine learning, statistical learning, social science, behavioral science and many other new disciplines of physical and social sciences. As the world is embracing digital technologies, machines and humans are producing more data that may directly or indirectly give insights about our environment. Policymakers be that from public offices or from private enterprises may use these insights to shape their policies or business goals. Harnessing data efficiently thus can open up new horizons. The developed world has embraced the idea and many countries have taken initiatives to find out the best way to harness data for public good. Developing world should not wait as this may be the cause of new digital divide as data begets information and information begets efficient business and policy. 
 
Design thinking helps to make understanding of our surroundings better. The researchers believing in Design centric thinking argue that better design can help get a better result, and design flaws may cause a worse result. We believe working with data needs a marriage with Design thinking as we need to think about the consequence of our works before we delve into data-centric research. We believe design thinking, therefore, can play a vital role in public policy. 
 
With the advent of efficient hardware to store and process a large amount of data, computational mechanisms to learn patterns from large datasets and people’s interest to harness data new possibilities of Data science for social good are engendering. We harness state-of-the-art knowledge from social science, arts, physical science and behavioral science and blend them with our visions of human-centric computing to harness insights from Data. 

Research Focus

Connectivity

Education & ICT

Energy

Society & Economy

Sustainable City

Recent News

Prof. Moinul Zaber will be joining as one of the speakers for roundtable session for “Data-driven governance in the social sector: opportunities and challenges in a changing world” track in ICEGOV 2021 that will be held in Athens, Greece from 6-8 October, 2021.

For more details, please visit here. 

(image from ICEGOV2021 website)

Prof. Moinul Zaber’s lecture on “The prospect of Non Traditional Data and Computational Social Science for Sustainable Development” is now available in the WFEO’s website. 

Asif Zaman’s paper “Seasonal, Temporal and Spatial Variation of Particulate Matter Concentration in Bangladesh: A Longitudinal Analysis” has been accepted in the 2021 IEEE Region 10 Symposium (TENSYMP 2021) conference.

Prof. Moinul Zaber talks about digital life and privacy in his latest article titled “Do we care about Digital Privacy” on Man and Machine. You can read it on The Daily Star using the link below.

https://www.thedailystar.net/views/opinion/news/do-we-care-about-digital-privacy-2131796

(image retrieved from link)

Prof. Moinul Zaber will be teaching an online open course Jump start with AI for public policy and Development”

Redwan Ahmed’s paper “How Newspapers Portrayed COVID-19: A Study Based on United Kingdom and Bangladesh” has been accepted in “Computer science protecting human society against epidemics” conference.

Recent Works

A. Zaman, S.B. Rabbani, R.R. Haque, M. Zaber. Seasonal, Temporal and Spatial Variation of Particulate Matter Concentration in Bangladesh: A Longitudinal Analysis. TenSYMP 2021.

Particulate matters having diameters of 2.5 micrometers or less (PM2.5) have been linked with life threatening health issues worldwide. Data centric approach to ascertain the patterns in the propagation of PM2.5 materials in the atmosphere of a region can help policy makers take informed decisions to take proper action. In this paper, we analyze and identify seasonal, hourly, and regional patterns of PM2.5 propagation in Bangladesh from 2017 to 2020 using the Berkeley Earth dataset. We observe that the concentration of PM2.5 particles has a nationwide median value of about 50 μgm -3 , which is unhealthy for sensitive individuals. The concentration varies seasonally and diurnally. We observe that the concentrations of PM2.5 in the air is around five times more in winter than in summer. The mean PM2.5 concentration inside Dhaka is significantly worse around 70 μgm -3 , which is 1.25 times than the average concentration throughout Bangladesh. We also observe average concentration dropped during the covid-19 pandemic due to lockdown. Using cross correlation analysis, we observed how spikes in PM2.5 concentration levels in one zone may correspond with peaked concentrations in a different zone a few hours later, indicating that air currents may cause the particles to move in certain directions. Our exploratory analysis serves as the first cross-country data centric study of the state and propagation patterns of PM2.5 particles within Bangladesh and our findings can serve as foundation for further research on the topic. 

Sayed, M. A., & Zaber, M. I. (2020). Just-in-Time Educational Aid to Deliver Instant Help for Students in Developing Countries. Recent Trends in Information Technology and its Application, 3(3).

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.

Cheng, Q., Rahman, A. K. M., Sarker, A., Nayem, A. B. S., Paul, O., Ali, A. A., … & Zaber, M. (2020). Deep-learning coupled with novel classification method to classify the urban environment of the developing world, SIGML, 2021.

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.

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