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17 to 18 January 2024 | By invitation only

the Soaltee Kathmandu Hotel, Kathmandu, Nepal

1. Background

Leaving no one behind (LNOB) is the central, transformative promise of the 2030 Agenda for Sustainable Development and its Sustainable Development Goals. LNOB means moving beyond assessing average and aggregate progress, towards identifying progress for different population groups, including with intersecting vulnerabilities, to ultimately ensure all human beings can fulfil their potential in dignity and equality.  

To support governments and the United Nations system in the Asia-Pacific region, the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) has developed a user-friendly diagnostic tool called Leave No One Behind (LNOB) platform. The tool supports understanding of how various circumstances intersect and create inequalities in access to basic opportunities covered by the Sustainable Development Goals. Building on empirical methodologies such as Classification and Regress Trees (CART) and the Dissimilarity index (D-index), it uses data and statistics at national and sub-national levels to identify groups left furthest behind and the circumstances they share.

In this technical R training, ESCAP will take participants through the inner workings of its LNOB platform, using the statistical R code that prepares, analyzes and produces evidence on 16 SDG indicators based on the Nepal Demographic and Health Survey (DHS) from 2022 and Multiple Indicator Cluster Survey (MICS) from 2019. In addition to replicating the results hosted in LNOB platform, participants will also learn how to operationalize the LNOB methodology on indicators other than the SDG indicators currently available on the platform. Equipped with this knowledge, participants can then analyze inequality based on other nationally representative household surveys.

2. Training Objectives

The primary objective of this statistical training is to strengthen national capacities in building the evidence base in support of policies that reduce inequality and accelerate the implementation of the Sustainable Development Goals, by making sure that policies and programmes are inclusive and reach the furthest behind and support equal opportunity permitting the full realization of human potential and contributing to shared prosperity.

At the end of the training, technical officials and specialists will be able to map out inequalities in access to opportunities and prevalence of barriers for which they have data and identify furthest behind and furthest ahead and quantify the level of inequality at national and sub-national levels through the D-Index. The training also aims to raise awareness about the important role that NSO plays in enhancing the use of SDG indicators for decision making.

3. Target Audience

The statistical training will draw participation from statisticians and technical specialists in ministries, departments and agencies, academia, think-thanks, research institution and the United Nations system entities. Given the complexity of the code and the short duration of the training, a basic level of understanding of and experience with statistical software programmes such as R and Stata will be helpful to follow the instructions. Participants are recommended to follow ESCAP guidelines for installing and preparing the R Studio environment before the training begins. It may be beneficial, but is not required, for participants to review basic R skills which can be found by a simple search on the internet.

4. Organization and Participation

The statistical training will be organized physically at the Soaltee Kathmandu Hotel in Kathmandu, Nepal, on 17-18 January 2024. The meeting will be conducted in English. The tentative programme of the training is on the Programme tab. 

 
17 Jan 2024
09:00
09:15
Opening remarks
  • Mr. Toyam Raya, Chief Statistician, National Statistics Office
  • Ms. Stine Heiselberg, Head of United Nations Resident Coordinator’s Office in Nepal
  • Mr. Selahattin Selsah Pasali, Social Affairs Officer, ESCAP
09:15
09:30
Self- introduction of experts
09:30
11:15
Session 1: Theory behind LNOB Methodology

This Session reviews the theoretical background of LNOB methodology and provide a working understanding of the Classification and Regression Trees (CART) and D-index methodologies.

  • Theory I: CART: Presented by Selahattin Selsah Pasali, ESCAP
  • Theory II: D-index: Presented by Selahattin Selsah Pasali, ESCAP
  • Q&A
11:15
11:30
Coffee/tea break
11:30
12:30
Session 2: Setting up R Studio working environment

This session will focus on setting up R studio on each participant’s computer and become familiar with R and its different working environments. Participants will also be guided through basic R syntax which will prepare them for the LNOB code in the training.

12:30
13:00
Session 3: Getting Ready for the LNOB Analysis

This Session reviews the set-up for the LNOB code, organizes input files and gives background to using R for LNOB analysis.

13:00
14:00
Lunch
14:00
15:30
Session 4: Reproducing LNOB results at the national level

This session begins the LNOB R code where our independent (circumstances) and dependent (indicators) variables are defined. Using DHS data, participants will create a focused data frame which includes data for the defined variables, with the intention of learning how to sort through and manipulate large amounts of data in R. Participants will also be guided to explore different ways to use R to produce simple results including access rates of different population groups. For this first indicator we will focus on Internet usage in the past three months among individuals aged 15-49 (SDG 17.8.1).

Once data are prepared, participants will run the CART algorithm and D-index calculations at the national level for the Internet usage indicator and its defined circumstances. Results will be verified on the https://lnob.unescap.org/ platform

15:30
15:45
Coffee/tea break
15:45
16:45
Session 5: Reproducing LNOB results and the use of additional factors

In continuation of our national results, participants will learn how to add additional    factors to the CART algorithm for the defined indicator, Completion of secondary education among 20–35-year-olds (SDG 4.1.2). This includes sub-national level analysis and additional circumstances that may be considered, including but not limited to disability status as well as minority status proxied by religion, ethnicity or language spoken by respondents.  

16:45
17:00
Closing of Day 1 by ESCAP
18 Jan 2024
09:00
10:00
Session 6: Complex LNOB Indicators

In this session participants will experience running the full analysis, including at national and sub-national levels, and by using additional circumstances, for a more complex indicator, Basic sanitation at the household level (SDG 1.4.1/6.2.1). The composition of the circumstances will be discussed in more detail.

10:00
11:15
Session 7: LNOB Barrier Indicators

The LNOB platform treats Opportunities and Barriers differently. This session will focus on exploring two barriers from the LNOB platform, Intimate partner violence against women in the past 12 months (SDG 5.2.1) and Prevalence of stunting among children under five years of age (SDG 2.2.2).

11:15
11:30
Coffee/tea break
11:30
12:45
Session 8: New dataset and new indicator

The LNOB platform uses MICS and DHS as its primary data source, given its comparability across Asia and the Pacific. However, the LNOB methodology can be applied to any dataset. This session will focus on a new SDG indicator as requested by the trainees and may entail group work (TBD).

12:45
13:45
Lunch break
13:45
14:15
Session 9: Next steps, when to use the LNOB analysis

Voluntary National Reviews, Common Country Assessments, national studies are just a few examples of how the LNOB methodology can be integrated. This session will discuss ways the methodology has been used and can be used in the future.

14:15
14:30
Coffee/tea break
14:30
15:30
Session 10: SDG data and indicators in Nepal

This session will discuss the current status of SDG data availability in Nepal, challenges in monitoring the progress, opportunities for filling data gaps, and the role of NSO in coordinating and disseminating SDGs data.

15:30
16:30
Session 11: Q&A, Discussion and Feedback

Before closing the training, participants will have a chance to ask questions on the methodology, the code, or general questions about LNOB work. This session will also give a chance for participants to provide feedback or ask for any additional inputs from the ESCAP team.

16:30
17:00
Closing Remarks by ESCAP

for more information, please contact

Social Development Division +66 2288 1234 [email protected]
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