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Bangladesh to reintroduce captive elephants to the wild https://news.mongabay.com/short-article/2025/10/bangladesh-to-reintroduce-captive-elephants-to-the-wild/

Bangladesh to reintroduce captive elephants to the wild
Founder’s Briefs: An occasional series where Mongabay founder Rhett Ayers Butler shares analysis, perspectives and story summaries. Bangladesh has embarked on an ambitious plan to end the centuries-old practice of keeping elephants in captivity. The government has begun retrieving privately owned elephants and aims to rehabilitate them in the wild. The initiative follows a 2024 […]

"Bangladesh tenders 72.5 MW of rooftop solar under national program"
#Bangladesh #SolarPower #Energy #Renewables

Bangladesh tenders 72.5 MW of rooftop solar under national program
Bangladesh’s power regulator has started accepting bids for 17 rooftop solar systems totaling 72.5 MW, marking the first government-backed purchases under the National Rooftop Solar Programme 2025.

Beyond Physicians: Social and Familial Norms Driving Cesarean Section Decisions in Bangladesh
Jamal Uddin
https://arxiv.org/abs/2508.12240 https://arxiv.or…

Beyond Physicians: Social and Familial Norms Driving Cesarean Section Decisions in Bangladesh
Women's health in Bangladesh faces risks due to an alarming rise in cesarean section (CS) rates, exceeding 72% in hospital-based deliveries, far surpassing the WHO's recommended limit of 15%. This study, guided by the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB), explored socio-cultural factors influencing childbirth mode decisions. Among 503 survey participants, 91% of CS cases occurred against initial preferences, revealing a disconnect between health beliefs and behavio…

GiveDirectly plans to pilot a program using Google's AI-based Flood Hub, which provides forecast warnings, to send early aid to at-risk families in Bangladesh (Rest of World)
https://restofworld.org/2025/google-flood-hub-cash-aid/

AI flood forecasting allows aid to reach farmers before disaster strikes
Using Google’s Flood Hub, nonprofit trial program sends early warning and unconditional cash to workers.

ShikkhaChain: A Blockchain-Powered Academic Credential Verification System for Bangladesh
Ahsan Farabi, Israt Khandaker, Nusrat Jahan, Ibrahim Khalil Shanto
https://arxiv.org/abs/2508.05334

ShikkhaChain: A Blockchain-Powered Academic Credential Verification System for Bangladesh
Academic credential fraud threatens educational integrity, especially in developing countries like Bangladesh, where verification methods are primarily manual and inefficient. To address this challenge, we present ShikkhaChain, a blockchain-powered certificate management platform designed to securely issue, verify, and revoke academic credentials in a decentralized and tamper-proof manner. Built on Ethereum smart contracts and utilizing IPFS for off-chain storage, the platform offers a transpar…

In Bangladesh's flooded plains, solar-powered boat-schools keep learning afloat @Reuters
https://www.reuters.com/world/asia-pacific/bangladeshs-flooded-plains-schools-boats-keep-learning-afloat-2025-10-07/

The Gen Z protests are several protests in countries around the world said to be predominantly led by the eponymous Generation Z during the 2020s. 12 protests have been identified, with 4 toppling their government (Bangladesh, Nepal, Madagascar, Sri Lanka).
https://en.wikipedia.org/wiki/Gen_Z_pr

Gen Z protests - Wikipedia

What in the Bangladesh is going on here?

Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Mac...
Md. Saiful Bari Siddiqui, Anupam Debashis Roy

A Methodological Framework and Questionnaire for Investigating Perceived Algorithmic Fairness
Ahmed Abdal Shafi Rasel, Ahmed Mustafa Amlan, Tasmim Shajahan Mim, Tanvir Hasan
https://arxiv.org/abs/2508.05281

A Methodological Framework and Questionnaire for Investigating Perceived Algorithmic Fairness
This study explores perceptions of fairness in algorithmic decision-making among users in Bangladesh through a comprehensive mixed-methods approach. By integrating quantitative survey data with qualitative interview insights, we examine how cultural, social, and contextual factors influence users' understanding of fairness, transparency, and accountability in AI systems. Our findings reveal nuanced attitudes toward human oversight, explanation mechanisms, and contestability, highlighting the im…

Crosslisted article(s) found for stat.ME. https://arxiv.org/list/stat.ME/new
[1/1]:
- A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Mac...
Md. Saiful Bari Siddiqui, Anupam Debashis Roy

A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
Md. Saiful Bari Siddiqui, Anupam Debashis Roy
https://arxiv.org/abs/2510.06264

A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
The 2024 July Revolution in Bangladesh represents a landmark event in the study of civil resistance. This study investigates the central paradox of the success of this student-led civilian uprising: how state violence, intended to quell dissent, ultimately fueled the movement's victory. We employ a mixed-methods approach. First, we develop a qualitative narrative of the conflict's timeline to generate specific, testable hypotheses. Then, using a disaggregated, event-level dataset, we employ a m…

Documenting Patterns of Exoticism of Marginalized Populations within Text-to-Image Generators
Sourojit Ghosh, Sanjana Gautam, Pranav Venkit, Avijit Ghosh
https://arxiv.org/abs/2508.02937

Documenting Patterns of Exoticism of Marginalized Populations within Text-to-Image Generators
A significant majority of AI fairness research studying the harmful outcomes of GAI tools have overlooked non-Western communities and contexts, necessitating a stronger coverage in this vein. We extend our previous work on exoticism (Ghosh et al., 2024) of 'Global South' countries from across the world, as depicted by GAI tools. We analyze generated images of individuals from 13 countries -- India, Bangladesh, Papua New Guinea, Egypt, Ethiopia, Tunisia, Sudan, Libya, Venezuela, Colombia, Indone…

The economic, social & Environmental impact of Electric Vehicle (EV) adaptation on Bangladeshi Society
Abdullah Al Noman, Hasibul Hassan Siam
https://arxiv.org/abs/2508.08398

The economic, social & Environmental impact of Electric Vehicle (EV) adaptation on Bangladeshi Society
This study examines the economic social and environmental impacts of electric vehicle adoption in Bangladesh using survey data from 57 respondents and secondary research. Findings show strong public perception of electric vehicles as cost effective with ninety three percent agreement and environmentally beneficial with eighty two point five percent agreement. Electric vehicles have potential to reduce fuel imports lower operational costs and create over fifty thousand jobs by 2030. Socially ele…