Planning and Development Research

The Market Systems Resilience Index (MSRI) measures the market's ability to react, withstand, and change in response to shocks and stressors. Understanding the different needs and vulnerabilities that households and market actors are required to overcome, can help identify channels through which effective interventions can be adopted. iDE’s MSRI tool measures the resilience of market systems, providing an opportunity for adaptive management, and at the same time, enables iDE to develop metrics to monitor and assess improvement. The primary goal of using the MSRI tool in Suchana is to examine how market system factors affect resilience at both the market actor and household levels in the Northeast region of Bangladesh. The MSRI tool also provides useful insights and evidence for making policy and programmatic recommendations to strengthen market systems. MSRI results describe the market system of Sylhet and Moulvibazar, illustrating that households are more resilient than market act

Growth Rate Analysis of Goat As the popular saying goes, goat is the poor man’s cow. It is in fact farming meat goats can be more effective and profitable than either sheep or cattle. In general the birth weight is around 800g-900g without any supplementary feed. But in favorable condition with our multi grain feed the kid can gain 200-500g at birth. On the other hand, a kid should gain at least 15-20 grams per day from birth to 100 days of age. But if the kid continues to have the feed, it can easily gain more than 20 grams per day. Assuming that, it would be slaughtered from 6-12 month of age, here is a comparative analysis of growth rate of goat with and without taking the feed.   Age Average growth with  supplementary feed (g) Average growth without supplementary feed (g) At Birth 1100 800 3 month (3x30x20=1800) 1100+1800=2900 800+900=1700 6 month (6x30x20=3600)

  The northeast part of Bangladesh experienced a flash flood that started on the week of 15 May 2022. The intensity of the flood increased on 18 May 2022 as the major river ‘Surma’ and ‘Kusiara’ started to overflown 140 cm above the danger level. Alongside that, heavy rainfall in that areas and northeastern Indian states was the main cause of this flood. The Sylhet meteorically meteorological department stated that the continuous rain was an effect of Cyclone Asani. It has taken effect among 4 million people across five districts - Sylhet, Sunamganj, Habiganj, Netrokona, and Maulvibazar, while Sylhet and Sunamganj were affected severely. In this flood, around 418,546 people were exposed to inundation, as projected by the EU’s Copernicus Emergency Management Services (CEMS). It is also estimated that over 1.5 million (40%) children were at risk of waterborne diseases, drowning, and malnutrition due to extensive flood water. Their woes coupled with 150,000 families in Sylhet and Sunamgan

Executive Summary The Cost of the Diet assessment in Sylhet and Moulvibazar districts in 2018 was conducted to estimate the potential contribution of Suchana programme interventions on household food affordability. This analysis aimed at assessing the degree to which economic constraints might affect poor and very poor households in Sylhet division in North-East Bangladesh (i.e. Suchana beneficiary households in Sylhet and Moulvibazar districts) from accessing a nutritious diet. The Cost of the Diet (CotD) method and software was developed by Save the Children, and the analysis can estimate the hypothetical minimum amount of money a typical household would need to purchase their recommended intakes of energy, protein, fat and micronutrients, using locally available foods. Specifically, this assessment set out to answer the following questions: ▪ What is the minimum cost of a nutritionally adequate and culturally acceptable diet for typical households in Sylhet division? ▪ What locally

                                                                                                                                                          Guidelines for  Data Quality Assessment (DQA) What is Data Quality Assessment (DQA)? DQA stands for Data Quality Assessment or Data Quality Audit. It is a systematic process of evaluating the quality of data that is being collected, processed, stored, and used in a program or project. The objective of DQA is to identify and address any issues or challenges related to data quality that may affect the validity, reliability, and usefulness of the data. The DQA process typically involves a review of data collection methods, data entry processes, data management systems, data analysis procedures, and data reporting and dissemination processes. The DQA may also include a review of the quality of the data itself, including data completeness, accuracy, consistency, and timeliness. The results of the DQA are used to identify areas for impr