1

Data Innovations for

Measuring Progress on SDG 16 Technical Workshop

26 November 2018, Istanbul

Workshop Report

2

Overview Taking place the same week as the annual Istanbul Innovation Days which for 2018 featured #NextGenGov, the technical meeting on Data Innovations for Measuring Progress on SDG 16 served as an opportunity for participants from UNDP country offices and national government partners from 18 programmatic countries1, representing five regions to strengthen the technical capacity and knowledge on generating, collecting, interpreting and using new data for SDG 16. Through interactive sessions and expert-guided presentations, participants shared experiences and lessons learned for innovative solutions for achieving SDG 16 by 2030, and specifically:

• Strengthening technical knowledge on innovations in data for both implementation and measurement of SDG 16, including identifying innovative sources of data and methods for measuring, monitoring and reporting on SDG 16 including in the Voluntary National Review (VNRs), and exploring how data innovations for SDG 16 can advance the Leave No-One Behind principle of the 2030 Agenda;

• Showcasing examples of data innovations in SDG 16 implementation and measurement, including non-traditional partnerships, through practical exchange of experiences;

• Discussing and sharing tools and approaches for reporting on SDG 16 in preparation for the upcoming thematic review of SDG 16 at the High-level Political Forum (HLPF) 2019, and supporting countries that will be presenting their VNRs in 2019 by providing tools and guidance;

• Formulating inputs to the UN Expert Group Meeting on SDG 16 in early 2019 and the Thematic Review at the HLPF in July, specifically on data innovations for SDG 16.

UNDP recognized that difficulties and challenges for measuring, monitoring and reporting on the SDGs largely concern the lack of suitable data and methodologies for new data. The importance of data for evidence-based policies especially for identifying SDG accelerators was highlighted and the importance of addressing the politics around the use of data when approaching this issue was stressed.

While data innovation is often linked to technology, which is seen as a tool for enabling and progressing development solutions, data innovation solutions need also to ensure that the interests and the perspectives of marginalized and vulnerable groups are at the heart of these solutions to realize the Agenda 2030 imperative of leaving no-one behind. In terms of monitoring SDG 16, this means prioritizing data innovations that capture information on the experience and perceptions of peace, justice and inclusion of all people in society but especially marginalized groups.

Official statistics systems are not always fit for purpose. Most countries are only able to produce 40% (at best) of the official statistics needed to monitor the 12 targets and 23 indicators of SDG 16. Innovation,

1 Algeria, Azerbaijan, Botswana, Georgia, Iraq, Kazakhstan, Kyrgyz Republic, Mexico, Moldova, Mongolia, Palestine, Serbia, Somalia, Sudan, Syria, Tajikistan, Tunisia, and Turkmenistan

3

including in terms of non-official data and partnerships between official statistics producers and non-official data producers, is seen as a valuable complement to official SDG 16 data and monitoring systems.

The overarching aims of the workshop were to explore new capacities for measuring SDG 16 and to build a roadmap towards the High-Level Political Forum in New York in 2019 where SDG 16 among other goals2 will undergo specific review.

Session I – Setting the stage –Overview of SDG 16 targets and indicators: methodological and data challenges/gaps and opportunities

The first session of the technical meeting opened the discussion on SDG 16 by providing an overview of its global targets and indicators. It was stressed that the linkages and interconnectedness among the SDGs should be harnessed, and that SDG 16 on peaceful, just and inclusive societies, SDG 5 on gender equality and women’s empowerment and SDG 10 on reducing inequalities to a large extent are seen as the foundations and “docking stations” for achieving all other

SDGs.

Recognizing that countries have local, national, and regional realities which shape their nationalization processes, there was also recognition of some shared challenges:

• Decentralized official data systems, data dispersed widely, lack of coordination and exchange of data between different data producers

• Lack of data transparency • Existence of relevant data and data producers • Limited data availability, and limited capacity for, and investment in, national data production

including official and non-official data • Lack of disaggregated data which can be costly but is imperative • Limited capacities, or efforts, to combine quantitative with qualitative data

Some of the lessons to address these challenges coming from the UNDP SDG 16 monitoring initiative include:

• Engaging data producers through stakeholder workshops to map available data and gaps and identifying and agreeing on needed additional data sources (admin data, survey data, non-official data)

• Considering non-official data sources: engaging civil society, National Human Rights Institutions (NHRI), academia, private sector to review data; exploring how non-official data can be used;

2 SDG4; SDG8; SDG10; SDG13; SDG17

4

• Integrating qualitative and quantitative data from SDG 16-related international commitments (The United Nations Convention against Corruption (UNCAC), Open Government Partnership (OGP), The Universal Periodic Review (UPR).

• Establishing a framework to match data/data producers across indicators drawing from a more inclusive SDG 16 data eco-system.

Human Rights-Based Approaches to Data The United Nations Human Rights Office of the High Commissioner (OHCHR) presented Human Rights-Based Approaches to Data (HRBAD) stressing that human rights should be at the center of any initiative for achieving the 2030 Agenda. A human rights-based approach should always be applied to data, and new ways of collecting data can create opportunities for the protection of human rights in line with the notion of leaving no one behind. Data innovation is the future for human rights integration in order to increase the representation of marginalized groups in data. If applied in an inclusive manner, data could be used to eliminate discrimination, reduce inequalities based on race, ethnicity and

geographic location, strengthen gender equality, and fill income gaps.

The OHCHR guidance on a human rights-based approach to data provides a basis for the production, collection and use of data in line with the principles of participation; disaggregation; self-identification; transparency and privacy; and accountability:

Participation is particularly articulated in the human rights framework which stresses the need to work with different groups for indicator development. Integrating an inclusive approach, by including marginalized groups, is claimed to improve the quality of data and would provide an advantage for the national official statistics.

Disaggregation: by age, sex, geographic location etc. is less frequently included in traditional means for collecting data. Therefore, in order to ensure accurate data, it has to be inclusive and embrace a whole-of-society approach.

Self-identification: is important and the identification of groups should be based on self-determination and not on perceptions of data collectors.

Reconciling the transparency on the one side and privacy on the other is crucial. Privacy is stated in the international human rights treaty as an inherent right and data collection risks violating individuals’ rights to privacy with the emergence of new sources of data, big data and social media.

Accountability: should be secured in the way we produce and generate data. The state should be held accountable if it violates any human rights in data.

The civil society was highlighted as a crucial partner for producing data. Civil society should be involved to contribute to data measurement, yet their space in post-conflict and conflict countries is limited. It was

5

stressed that involving civil society could improve data and make it more accurate and should thus receive a given role in all partnerships.

Session II Understanding the Current Landscape In the first interactive session of the workshop, participants were asked to share three highlights of their national processes for SDG 16 and one question they would like to have answered from the workshop. See country

examples in Annex I and the infographics here.

The aim of the exercise was to contribute to a deeper understanding and baseline of the current landscape of SDG 16 national processes and developments. This baseline information will inform UNDP’s engagement and potential programming and support to countries implementing, monitoring and reporting on SDG 16.

Session III - Data innovation and Partnerships This session discussed the emerging trends of data innovation and potential new partnerships for SDG 16. The following points are shared by the order of presentations. Please click on the title of the session for

the presentation links.

UN Pulse Lab Kampala UN Pulse Lab Kampala has numerous projects that focus on data innovation for SDG 16. Traditional as well as non-traditional methods of data collection hold more potential and become more critical as digital disruptions occur, new technologies emerge, and new kinds of partnerships for data innovations for SDG 16 become possible. Co-creation of inter-linkages with other SDGs was highlighted to achieve leaving no one behind.

In particular, private sector and academia are considered as leading actors for generating big data with great potential for partnerships with UNDP. However, there are some challenges with regards to legal agreements, since the main issue for sharing data is grounded in the lack of trust and the ethical use of

6

data such as seen by ex. Cambridge Analytica and Facebook which mines people’s data in public forums which bring further potential risks to individuals’ right to privacy.

Here are some key recommendations in adopting big data approaches to SDGs.

• Building big data in order to extract useful knowledge and information • Developing technological solutions to access big data sources • Building capacities and sharing knowledge on how to utilize big data • Increasing the focus on the ethical use of data and the need for strengthened legal and policy

frameworks related to ethics • Building partnerships with the private sector • Developing new methods and capacities for analyzing data to prevent conflicts • Exploring data sources such as social media, radio etc. for data mining.

Oxford Internet Institute Measuring SDG 16 requires both conventional and non-conventional monitoring approaches, since some indicators do not have agreed global methods as well as sensitivity and contextual backgrounds may vary according to each specific circumstance. The internet, often referred to as the second digital revolution, is transforming societies as well as the foundations of governance by providing online data and e-governing services. Therefore, using non-conventional measures such as available online data that are not originally issued for that purpose, could be an applicable tool for measuring SDG 16.

UNDP Istanbul Regional Hub has partnered with Oxford Internet Institute to create a real-time dashboard on monitoring e-governance services from the ECIS region. The dashboard has three indexes: i) portal response, ii) online service, and iii) national cybersecurity. In particular, the portal response index measures how much citizens interact with the national e-governance portal, and the online service index measures the quality of e-services provided based on the functionality, design, and accessibility defined by the popularity of e-services.

Measuring progress with online data touches upon all levels of data, information, knowledge and wisdom pyramid, and it is important to build big data in order to extract useful knowledge and information. For example, Wikipedia has been used to collect data which reflects the regional stock of knowledge. Oxford Internet Institute has been working on the Wiki Wisdom Project, which analyzes Wikipedia editor data to see how the diffusion of knowledge and innovation fosters economic progress as well as gender disparities of the online knowledge economy by looking at

the participation of female editors. Understanding that despite the many opportunities for improving governance services through technology and the internet, there is a huge geographical divide between urban and rural areas in terms of access to the internet.

7

Qatar Computing Research Institute Qatar Computing Research Institute has previously worked with UNDP Sudan on UNDP’s cross-regional SDG Tier III indicator initiative by transforming spoken word (on radio) into text. QCRI presented its areas of work, including:

• Making sense of disorganized data

• Turning spoken word into text

• Detecting bias in online news in order to “factualize” news using platforms extracting information from newspapers over social media

Ministry of Data Project (UNDP) One of the key aspects of data is linked to its accessibility and the means of turning knowledge from data into wisdom. Yet, the structures for such processes are still being explored with six major trends currently identified;

1. There is a need to balance access to data with privacy as contextual and granular information is becoming more important.

2. New tech data analyses have resulted in new types of actors and partnerships emerging which should be further harnessed in the process of exploring innovative data.

3. Data should be simplified in order to make it more accessible. 4. Data should be viewed as a means to an end; there is a need to comprehend the root causes of

development issues rather than focusing on the tools to reach their solutions. There is also a need to visualize data to unlock its potential to provide insightful information compared to the data itself.

5. A customized approach to capacity development is needed with training targeting government workers, civil society organizations and journalists.

6. Contextualizing information and bridging existing capacity are two important aspects to consider.

A simplified approach for capacity building at the local level for internet use is needed, and projects that combine multiple sources of data will be more efficient and beneficial. Citizen-generated data and data quality for sustainability of data provide useful information when it is considered a reliable source. When mapping violent incidents, citizen generated data could create powerful precedents for change and provide an alternative source which otherwise might not be made publicly available by governments.

Session IV – Examples of SDG 16 monitoring approaches and experiences, including SDG Tier III presenters: Key findings and lessons learned were shared from the UNDP Tier III indicators data innovations initiative on exploring new ways of monitoring and measuring indicator 16.6.2 "Proportion of population satisfied

8

with their last experience of using public services". Four countries from the initiative -- Moldova, Sudan, Botswana and Kyrgyz Republic -- shared their successes and challenges from the project. Please click on

the country cases for the presentation slides.

Moldova - MiLAb-Reengineering Public Services As the government of Moldova committed itself to streamline the Public Administration Reform, MiLab was selected as an implementing partner to the National Chamber of Social Insurance (NCSI) to pilot a new monitoring mechanism of public service delivery. The overall project’s objectives were to integrate real-time user-generated data into NCSI assessment procedures of public services’ quality, and update key performance indicators (KPI) at both institutional and personnel level, to translate user-generated data into the policy actions of public institutions on the reform of public services – NCSI and PSA, and to promote real-time user-generated data evaluation mechanism of public services at other public institutions, based on the outcomes and lessons from pilot.

The main results of the project were the creation of a sustainable mechanism on data collection for measurement of citizens’ experience of corruption. In contrast with the traditional data based on survey results, the uniqueness of data produced was on measuring the experience of citizens on corruption, not just on perception. The data has the potential to eliminate potential paths for the corruption within public institutions providing public services. Thus, creating evidence for the elaboration data-informed policies to tackle corruption in public services provision and integration of the data collected in the policy-making mechanism at public institutions.

Sudan – Engaging citizens to improve public service delivery in East Sudan In a post-conflict context like Sudan which hosts many refugees, public service provision becomes crucial. As part of UNDP’s SDG Tier III initiative, UNDP and the Kassala State Ministry of Finance, Economy and Labor Force partnered in seeking cost-effective solutions to better understand and respond to citizens’ needs in accessing public services by introducing new methods to collect data: using community radio and SMS via mobile phone. These locally popular media serve as cost-effective options for gathering data compared to traditional approaches such as on-the-ground civic surveys that take more time and resources.

Feedback was requested from citizens via radio shows and responses were taken via toll free phone calls broadcasted live throughout the state. Three basic services were targeted: health; education; and water supply to obtain feedback on the situation of service delivery in four localities (or districts) in the state. Qatar Computing Research Institute (QCRI) processed the audio input by converting audio of four locally spoken languages into text.

Phase 1 of the initiative has been completed. One of the main conclusions arising from this initiative was the importance of engaging the government, private sector (telecom company) and local stakeholders like the radio stations and local communities in the design stage and throughout the whole project cycle.

This pilot is an effort to demonstrate the use of innovative community feedback system as a mechanism by the state government. Such an initiative is a major leap towards encouraging social

9

accountability over donor accountability that could act as a driver to at least ensure minimum quality basic service delivery for the state. For more info, please read the blog here. Botswana – Closing the gap on national data deficiencies SDGs service delivery- measurement, monitoring and innovation to shape decision making

The government of Botswana is the biggest supplier of essential services across all sectors in Botswana, including health, education, land management and housing, sanitation, agriculture, business and trade, technology and innovation, safety and security, justice and rule of law, environmental management, transport, communications, immigration etc. In that regard, there is a need to track the relationship between the level of investments made by the public sector and the corresponding quality of services offered. Timely and reliable data for informed decision making were required for tracking the monitoring progress related to the implementation of the Sustainable Development Goals (SDG). Furthermore, there was a need for regular feedback to line managers to improve services on the short term and to policy makers on the medium/long term.

In general, in Botswana reliable and timely measurement of the SDGs is at risk of being inhibited by structural constraints on institutions, low quality data, limited technical capacities and insufficient financial investments in the area of data. Hence, Facebook was chosen as the main source of collecting data due to its popularity and accessibility among the public. A tool was introduced with an algorithm which collects frequently used words on Facebook to appear on a larger picture of collected words depending on the frequency of its usage. The more a word was used, the larger the picture would get, and the approach enabled quick data collection on trending concerns of citizens. The main challenge of this data process was the compliance with Facebook’s legal requirements.

The major takeaways from this initiative:

• The public is more responsive to social media rather than traditional methods to provide feedback on their experience of public services.

• Partnerships are key and a much-needed currency for planning and implementation of successful initiatives.

• Managing expectations from both clients & service providers is a complicated process as instant changes and results are expected.

• In data collection, there is a risk of leaving out groups that may not have mobile devices with internet access, and the sample group risk therefore to be deemed less representative of the public as a whole.

• Cost-effective Open Source data collection tool with the advantage of using an open source data that is affordable with low operational costs, relatively easy to manipulate and transferable to other partners.

Kyrgyzstan - Monitoring and reporting system on citizen satisfaction An inventory of indicators was done, and an introduction of (global) SDG targets and indicators into national and sectoral strategic programs is planned for 2018-2019. The development and implementation

10

of a knowledge platform on indicators of SDGs and a National Reporting Platform is planned to be completed by the end of 2019.

The system of assessment of the activities of state executive bodies, which is carried out by the Ministry of Economy of the Kyrgyz Republic, consists of 4 components:

1. The degree of achievement of the results established in the Action Plan of the Government of the Kyrgyz Republic on the implementation of the Program of the Government of the Kyrgyz Republic, approved by the Jogorku Kenesh of the Kyrgyz Republic for the current year;

2. The degree of achievement of the results established in the personal plan of the manager; 3. The level of performance discipline; 4. The index of public confidence.

Reflections on SDG Tier III Initiatives: One of the main reflections from this session concerned the means of making experimentation with innovative data sources for measuring citizen satisfaction a continuous and sustainable practice. A combination of using new and traditional ways of data collection such as SMS and Radio has been proved a successful method. Government buy-in is furthermore deemed crucial for ensuring sustainability of innovative data collection methods such as as seen in Botswana, constituting one of three actors that invests in social media as a practice.

• Experimenting is important but there must be methods for scaling up these processes. • Understanding of innovative data collection processes remains a challenge • Setting incentives for people to respond to surveys is crucial especially in cases where people feel

restricted or uninterested to partake. • Complementarity of mixing different sources of data-indicators of citizen satisfaction should be

encouraged. • Global indicators are opportunities for all the countries to say the same thing and initiatives like

the SDG Tier III initiative are needed at national and subnational levels to nationalize and implement the global indicators.

• Human rights must be considered in data collection and there is a need to protect privacy of personal data.

• The gender digital divide remains a complex issue and must be addressed when discussing leaving no one behind in data.

• Projects must be informed by contextual realities, sensitivities and cultural stigmas which in some countries such as Iraq restrict the use of Facebook, which limits its use as a source of useful data.

Session V - Discussion in break-out groups – 4 Dimensions of data Innovation This break-out group session served as an opportunity for the workshop participants to discuss common issues as well as opportunities for innovative monitoring and nationalization of SDG 16 targets and

11

indicators. Four (4) dimensions were identified from the earlier interactive session of the workshop which encouraged the participants to share three highlights of their national processes for SDG 16 implementation and monitoring as well as a question/statement/ask they would like to have answered from the workshop in relation to data innovation for SDG 16. Based on this the dimensions of Credibility of Data; Availability and Quality of Data; Leave No One Behind & Data Disaggregation; and Partnerships were selected for discussion. The content/bullets in the following section serve as a transcription of these discussions.

Credibility of Data

• There is no legislation which regulates methodology for gathering data • Sources of data should be credible and proper data management is necessary • The purpose and objectives of data should be made clear from an initial stage • Participation and advocacy is crucial for collection of credible data where citizens, think-tanks and

academics are given access to data through enhanced participation and knowledge • Data should be qualitatively and quantitatively sourced • Data used should ensure timeliness and relevance where ICT and capacity should be considered • There should be some flexibility in the way data is being collected and formal/informal set-ups

should be created

Availability and Quality of Data • Open data mechanisms can be

used for availability of data • UN agencies can complement the

statistics produced by the state agencies

• International review is important for the achievement of the 2030 agenda and organizations should also take into consideration the quality of data that is being produced

• Vertical and horizontal cooperation should be taken into consideration in conflict-affected areas and any politically affected data should be checked

• Proxies and meta data should be taken into consideration

LNOB (leave no one behind) and Data Disaggregation: • The groups left behind should be identified as well as the reasons for them being left behind

should be questioned and addressed. • Simulating demand and identify disaggregated data is needed.

12

• Financial resources can be a potential problem for data but could be overcome with partnerships and adopting new approaches.

• Partnerships with the private sector and the media should be explored around data disaggregation.

• Civil society has potential to produce data based on projects which require further exploration of sustainability.

Partnerships Identifying the main need:

• Ensure awareness among citizens of the impact of big data. • Elaborate a common agenda and key objectives • Managing big data requires more cooperation and increased partnerships • Understand the political economy

Proposal for solutions:

• Create incentives for citizens involved in data monitoring and reporting • Develop innovations in legal frameworks to reduce the risk of misuse of data • Develop a clear strategy and action plan which is cross cutting, multi-sectoral, and reinforces

awareness among citizens of data use.

Challenges and Opportunities for Data: The following issues were raised for future attention:

• The way big data contributes to opportunities and challenges into achieving SDG 16 • The ethical issues of the SDGs which have potential to be resolved through partnerships to

minimize negative impact • Citizens’ interpretation of feeling secure should be taken into account • How companies like Google and Facebook shape the way we form opinion • Big data should not only be viewed as a tool but rather something that can affect and jeopardize

achieving SDG 16 • Misconduct of big data is not new, and the private sector is conscious of big data risks • The way data is used matters!

Closing Remarks Alexandra Wilde, UNDP Oslo Governance Center & Jennifer Colville, UNDP Amman Regional Hub

The first objective of the workshop was to focus on VNR countries that will present their progress reports in 2019 to help them prepare their reporting bringing in SDG 16 as a focus. Another objective was to bring innovation to the table of discussion to expand our thinking, what others are doing and showcasing our own case studies from country offices. The next objective is to transfer this knowledge that is built through

13

case studies and workshop and bring these to the attention of political actors and high political level conversations.

The workshop showed that there is still work to be done in achieving SDG 16. Documenting and sharing the lessons learnt with partners is important, however, one should also pay attention to any sensitivities in relation to contextual realities when applying previous knowledge. Bringing the conclusions from this workshop into regional and country levels is crucial.

UNDP (Istanbul, Amman and Oslo) immediate next steps:

• Take the experiences shared from this workshop into the Istanbul Innovation Days (which immediately followed the workshop) which also has a focus on SDG16 and #NextGenGov.

• Reflect the key messages and experiences shared in this workshop in the SDG 16+ report which is being prepared for the 2019 High-level Political Review (HLPF) where SDG 16 is one of the SDGs under thematic review. The SDG 16 report is being coordinated by the Global Alliance for

Reporting on Peaceful, Just and Inclusive Societies (UNESCO, UNDP, UNHCR, UNODC and UN Women) and coordinated by the Oslo Governance Centre.

• Explore how to best document and share the experiences (and lessons) shared on SDG 16 data innovation including those presented at the workshop but also other experiences across key priority themes including partnerships and LNOB.

14 Annex I: Country exam

ples of SDG 16 Achievements and Asks 3

Country Achievem

ents Q

uestions/statements/asks

Algeria •

An inter-ministerial com

mittee w

as established for all SDG actors represented to discuss all issues concerning m

ethodology of SDG 16 •

Frequent progress reports on SDGs written regarding 1) how

to establish a m

echanism to achieve the SDGs; 2) Indicators, data

collection and analyses. 2 technical groups are assigned to address: 1. econom

ic and sustainable development issues; 2. scientific and

technical institutions •

NGOs and broader civil society are w

orking to determine indicators

for achieving SDGs: 7 indicators yet an issue concerns use of unofficial sources w

ith lower levels of quality

• Data collection and quality of data

Azerbaijan •

New sources of data for SDG 16 has been explored from

i.e. NGOs

etc. A mobile application to report physical violence w

as introduced •

A law against corruption w

as passed which encourages the reporting

of corruption •

A comm

ission against corruption was established as w

ell as the Baku Forum

on SDG 16 •

New sources and m

ethods for measuring SDG 16 w

as developed, such as a m

obile application for reporting physical violence.

• W

hat is the mechanism

of evaluating alternative data?

• How

to engage with the private sector

in generating big data?

Botswana

• UNDP supported the governm

ent to review the CBM

system

including 10 ministries and 21 services. It also review

ed data collection tools, approaches, indicators, and the alignm

ent with

higher level government indicators

• UNDP supported hum

an rights inaugural conference and workshop

with an established national hum

an rights institution •

Human rights-based statistics is being collected

• Further em

phasis is put on collecting more hum

an rights-based data

• How

to learn more on innovation in

regard to data collection and analysis?

3 Inform

ation from M

oldova and Syria was not provided

15 Georgia

• A council for uniting the national w

ork on SDGs has been established and joint w

orkplans is being finalized •

A platform on SDGs is developed

• 45 indicators w

ere identified for the data baseline for which 80%

of the data is available

• To ensure availability of the indicators there is a need to fill data gaps and identify potential data sources

Iraq •

A matrix w

as developed by the thematic team

with an integrated

human rights-based approach

• In 2017, a SDG 16 coordination team

was established divided into

specific thematic team

s of the Human Rights Com

mission and

Ministry of Justice

• Localization of SDG 16 w

as done and integrated into the national developm

ent plan using the tool that was developed by UNDP

• A coordination group on SDG 16 consisting of the Hum

an Rights Com

mission and the M

inistry of Justice was established

• How

to make the civil society an active

partner for achieving SDG 16. •

Integrity and anti-corruption are sensitive issues and how

would it be

possible to provide good governance w

ithout addressing these issues?

Kazakhstan •

The government has established a SDG architecture

• Five w

orking groups were established on the 5 m

ain indicators •

How to learn about data innovations

on SDG 16 implem

entation and m

onitoring, as well as data collection?

(Especially related to Tier 3 indicators)

Kyrgyz Republic •

SDG indicators are being published on an official website

• The governm

ent will establish an open source data w

ebsite with 20

categories for more open transparent interaction w

ith citizens •

The government is planning an open data source w

ebsite for increased citizen-governm

ent participation. The SDG indicators are m

ade publicly available online.

16 M

exico •

The statistics office identified an official monitoring fram

ework for

SDG 16 •

UNDP participated

and supported

in a

national initiative

to contextualize the global fram

ework for each country w

hich developed a specific national program

for SDG 16 targets •

Specific problems associated to the SDG 16 targets

• 2 proxies for global indicators identified

• W

hat is the position of government

and statistics office about the proxy indicators w

hen the global indicators are not available?

Mongolia

• A policy achievem

ent framew

ork has determined the indicators to be

achieved and identified the responsible institutions •

Partnerships have been established for achieving the SDGs •

The Ministry of justice is inform

ing the public on SDG 16 through a hum

an rights-based legal education and curriculum

• A SDG Dashboard and platform

is being created

Palestine •

The justice sector drafted and prepared legal support for Palestinians specifically supporting the vulnerable population

• M

izan system (electronic system

) was established by the M

inistry of Justice and Interior m

erged with a w

ebsite that enabled people’s access to inform

ation, reports and statistics. •

The Ministry of Justice and Interior established an open digital

system containing reports and statistics on SDGs

• How

to localize SDG 16 indicators? •

How to use local indicators to achieve

the global SDG 16 targets and indicators?

Serbia •

Statistics office organized a workshop w

ith data holders including the civil society for a data m

apping. •

State budget has included the SDGs and UNDP has supported the am

endment of the draft budget in the parliam

ent •

Performance audit of SDGs for m

easuring the SDG was conducted

• Existence of longitudinal data from

external projects-based research (corruption, dissem

ination)

17 Som

alia •

There is currently no agency to collect data •

UNDP works on tw

o platforms for SDG tracking and collecting data

• A platform

for SDG 16 is planned to visualize ongoing initiatives and fill gaps through citizen engagem

ent

Sudan •

As a post-conflict and unstable context has caused delays in form

alizing SDGs •

UNDP has supported Sudan in formalizing its first SDG report

• SDG 16 is identified as one of the 3 m

ain goals for achieving all the SDGs in the country

• The governm

ent is open to reforms w

ithin SDG 16 and for applying data driven decision m

aking and design •

A pilot on SDG 16.6.2 indicator measurem

ent is successfully im

plemented but requires engagem

ent of more governm

ent stakeholders. The governm

ent is comm

itted to use the results of the pilot for 2020 planning

• Identify processes that w

ill allow

UNDP to support federal governments

in respect of their context?

Tajikistan •

The government developed its first country developm

ent report in 2018

• The governm

ent established a thematic w

orking group on SDG 16 to be led by the M

inistry of Justice •

The government has show

n comm

itment to w

ork on data collection

• How

to measure Tier III indicators for

SDG16?

Tunisia •

A recent report was published on governance

• The country is going through a data collection process

• A citizen satisfaction survey on their perception of the national security sectors w

as conducted

• How

to mitigate data in the

framew

ork of pilot initiatives?

18 Turkm

enistan •

Progress to achieve SDG-public defender’s office was established to

meet hum

an rights comm

itment

• National hum

an rights plan was adopted

• Statistics office produced data tem

ples and circulated around governm

ent to see what data is available

• National hum

an rights action plan was established,

• Statistics office has produced data tem

plates to map a national

baseline on data availability

• How

to ensure that data is reported and com

parable? •

How can w

e ensure accuracy of data? •

Who can help countries collect the

necessary data?

19 Annex II: Understanding the Current Landscape