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Global Go To Think Tank Index (GGTTI) 2020 launched                    111,75 Think Tanks across the world ranked in different categories.                SDPI is ranked 90th among “Top Think Tanks Worldwide (non-US)”.           SDPI stands 11th among Top Think Tanks in South & South East Asia & the Pacific (excluding India).            SDPI notches 33rd position in “Best New Idea or Paradigm Developed by A Think Tank” category.                SDPI remains 42nd in “Best Quality Assurance and Integrity Policies and Procedure” category.              SDPI stands 49th in “Think Tank to Watch in 2020”.            SDPI gets 52nd position among “Best Independent Think Tanks”.                           SDPI becomes 63rd in “Best Advocacy Campaign” category.                   SDPI secures 60th position in “Best Institutional Collaboration Involving Two or More Think Tanks” category.                       SDPI obtains 64th position in “Best Use of Media (Print & Electronic)” category.               SDPI gains 66th position in “Top Environment Policy Tink Tanks” category.                SDPI achieves 76th position in “Think Tanks With Best External Relations/Public Engagement Program” category.                    SDPI notches 99th position in “Top Social Policy Think Tanks”.            SDPI wins 140th position among “Top Domestic Economic Policy Think Tanks”.               SDPI is placed among special non-ranked category of Think Tanks – “Best Policy and Institutional Response to COVID-19”.                                            Owing to COVID-19 outbreak, SDPI staff is working from home from 9am to 5pm five days a week. All our staff members are available on phone, email and/or any other digital/electronic modes of communication during our usual official hours. You can also find all our work related to COVID-19 in orange entries in our publications section below.    The Sustainable Development Policy Institute (SDPI) is pleased to announce its Twenty-third Sustainable Development Conference (SDC) from 14 – 17 December 2020 in Islamabad, Pakistan. The overarching theme of this year’s Conference is Sustainable Development in the Times of COVID-19. Read more…       FOOD SECIRITY DASHBOARD: On 4th Nov, SDPI has shared the first prototype of Food Security Dashboard with Dr Moeed Yousaf, the Special Assistant to Prime Minister on  National Security and Economic Outreach in the presence of stakeholders, including Ministry of National Food Security and Research. Provincial and district authorities attended the event in person or through zoom. The dashboard will help the government monitor and regulate the supply chain of essential food commodities.

Measuring Poverty in Small Areas:How Low Can You Go?

Oct 15

3:00 pm to 5:00 pm

SDPI, Islamabad

Chair:

Dr Abid Qaiyum Suleri, Executive Director,
SDPI

Speaker:

Professor Stephen Haslett , Institute of Fundamental Sciences –
Statistics, Massey University Palmerston North , New Zealand

Moderator:

Mr Shakeel Ahmad Ramay, Senior Research Associate, SDPI

 

Note: You may also watch live streaming of the event
at http://www.sdpi.tv/live.php 

(Concept Note)

Efficient targeting of aid relies on detailed
information. But the problem is that even the large scale national sample
surveys are usually not accurate enough to provide this detail. Small area
estimation is a statistical technique developed over the last twenty years or
so which can improve accuracy of surveys by using statistical modelling. A
particular type of small area estimation technique, called poverty mapping
which links survey with a census, is now often being used for estimating and
mapping poverty estimates at a fine level. This method has now been applied in
more than 70 countries. Where there is no recent census, alternative methods
exist. Small area estimation can also be extended, for example to estimating
malnutrition including stunting, underweight and wasting in children under five
years of age. The lecture would cover the context that what small area
estimation is, at what level it can work, and why it is useful. 

Biography: Dr Stephen Haslett is
Professor of Statistics in the Institute of Fundamental Sciences, Massey
University, New Zealand. His research interests are in sample survey design and
analysis, small area estimation especially of poverty, linear and generalized
linear mixed models, and statistical consulting. He has been involved in small
area estimation projects for the UN World Food Programme and the World Bank in
Bangladesh, Philippines, Nepal, Bhutan, Cambodia and Timor-Leste, and in more
wide ranging projects linked to government statistics offices in over 20
countries including Thailand, Uganda, Kiribati, Vanuatu, Samoa, Fiji, Tonga and
Azerbaijan.