Presentation on Improving Statistics for Effective REgional Policy: Experiences from OECD Countries, by Monica Brezzi, Head Regional Analysis and Statistics, at the Conference Portugal 2020: Public Policies and Statistics, 13 May 2015, Lisbon, Portugal.
BDVe Webinar Series - Big Data for Public Policy, the state of play - Roadmap...Big Data Value Association
Do you know how data-driven approaches can influence the policy cycle and the benefits derived from this? Have you ever participated in a policy-lab, collaborating with other stakeholders to develop and test a policy? In this session, Anne Fleur van Veenstra from TNO will delve into current practices, insights and lessons learnt from current policy-lab projects, followed by Francesco Mureddu, from the Lisbon Council, who will look ahead and identify the main challenges and opportunities by presenting and discussing a roadmap for Future Research Directions in data-driven Policy Making.
Presentation on Improving Statistics for Effective REgional Policy: Experiences from OECD Countries, by Monica Brezzi, Head Regional Analysis and Statistics, at the Conference Portugal 2020: Public Policies and Statistics, 13 May 2015, Lisbon, Portugal.
BDVe Webinar Series - Big Data for Public Policy, the state of play - Roadmap...Big Data Value Association
Do you know how data-driven approaches can influence the policy cycle and the benefits derived from this? Have you ever participated in a policy-lab, collaborating with other stakeholders to develop and test a policy? In this session, Anne Fleur van Veenstra from TNO will delve into current practices, insights and lessons learnt from current policy-lab projects, followed by Francesco Mureddu, from the Lisbon Council, who will look ahead and identify the main challenges and opportunities by presenting and discussing a roadmap for Future Research Directions in data-driven Policy Making.
What's new in journal metrics CiteScore and more 29 June 2017cjames328
A webinar by Ludo Waltman (CWTS) and Chris James (Elsevier) about how CiteScore metrics were created, the reactions so far, along with a critical look at the calculation and potential conflict of interest
DELSA/GOV 3rd Health meeting - Barbara UBALDIOECD Governance
This presentation by Barbara UBALDI was made at the 3rd Joint DELSA/GOV Health Meeting, Paris 24-25 April 2014. Find out more at www.oecd.org/gov/budgeting/3rdmeetingdelsagovnetworkfiscalsustainabilityofhealthsystems2014.htm
This presentation was made by Liliana Suchodolska , at the 3rd Experts Meeting on Gender Budgeting held at the OECD Conference Centre, Paris, on 19-20 September 2019
The GCRO BAROMETER 2014 , presentation given by Darlington Mushongera Researcher, GCRO at the 'Beyond-GDP in Africa: Innovative Ideas for a Regional Dashboard' workshop, Centre for the study of Governance innovation, University of Pretoria
This presentation was made by Wojciech ZIELINSKI, OECD, at the 15th Annual Meeting of OECD-CESEE Senior Budget Officials held in Minsk, Belarus, on 4-5 July 2019
Monitoring and Evaluation of NAP: Brazil’s experience | Nelcilandia Pereira d...NAP Global Network
Presentation by Nelcilandia Pereira de Oliveira, Brazil's Ministry of Environment, as part of the NAP Global Network's Targeted Topics Forum held in Nadi, Fiji, in February 2018.
Place-Based Decision Making Grounded in Community Processes and Data Visualiz...Practical Playbook
The Practical Playbook
National Meeting 2016
www.practicalplaybook.org
Bringing Public Health and Primary Care Together: The Practical Playbook National Meeting was at the Hyatt Regency in Bethesda, MD, May 22 - 24, 2016. The meeting was a milestone event towards advancing robust collaborations that improve population health. Key stakeholders from across sectors – representing professional associations, community organizations, government agencies and academic institutions – and across the country came together at the National Meeting to help catalyze a national movement, accelerate collaborations by fostering skill development, and connect with like-minded individuals and organizations to facilitate the exchange of ideas to drive population health improvement.
The National Meeting was also a significant source of tools and resources to advance collaboration. These tools and resources are available below and include:
Session presentations and materials
Poster session content
Photos from the National Meeting
The conversation started at the National Meeting is continuing in a LinkedIn Group "Working Together for Population Health" and Twitter. Use #PPBMeeting to provide feedback on the National Meeting.
The Practical Playbook was developed by the de Beaumont Foundation, the Duke University School of Medicine Department of Community and Family Medicine, the Centers for Disease Control and Prevention (CDC), and Health Resources & Services Administration (HRSA).
The scientific paper "Assessing Governmental Policies’ Impact through Prosperity Indicators and Open Data" (related to the Policy Compass project) was presented in the context of EGOSE 2014.
Game Changing Decisions: Using Wave Studies To Understand Changes To Your BrandEMI Research Solutions
When organizations face decisions that can vastly alter their operations or how they do business, these can be called “game-changing” decisions. As these decisions are made, organizations want to measure what impact these decisions have with brand perception in the marketplace.
How best can organization measure the impact of their decision?
Check out the deck from our webinar Game-Changing Decisions: Using Wave Studies To Understand Changes To Your Brand, to discover how.
Presentation by Mr. Paolo Veneri, Head of Territorial Statistics and Analysis, OECD
The 2nd OECD Roundtable on Cities and Regions for the SDGs was held at the World Conference Center in Bonn, Germany, on 9 December 2019, within the scope of the OECD programme on A Territorial Approach to the SDGs. The Roundtable brought together cities, regions, national governments, international organisations, private sector and other key stakeholders to identify trends and challenges in the localisation of the SDGs, including the experiences and key findings from the pilots of the programme.
What's new in journal metrics CiteScore and more 29 June 2017cjames328
A webinar by Ludo Waltman (CWTS) and Chris James (Elsevier) about how CiteScore metrics were created, the reactions so far, along with a critical look at the calculation and potential conflict of interest
DELSA/GOV 3rd Health meeting - Barbara UBALDIOECD Governance
This presentation by Barbara UBALDI was made at the 3rd Joint DELSA/GOV Health Meeting, Paris 24-25 April 2014. Find out more at www.oecd.org/gov/budgeting/3rdmeetingdelsagovnetworkfiscalsustainabilityofhealthsystems2014.htm
This presentation was made by Liliana Suchodolska , at the 3rd Experts Meeting on Gender Budgeting held at the OECD Conference Centre, Paris, on 19-20 September 2019
The GCRO BAROMETER 2014 , presentation given by Darlington Mushongera Researcher, GCRO at the 'Beyond-GDP in Africa: Innovative Ideas for a Regional Dashboard' workshop, Centre for the study of Governance innovation, University of Pretoria
This presentation was made by Wojciech ZIELINSKI, OECD, at the 15th Annual Meeting of OECD-CESEE Senior Budget Officials held in Minsk, Belarus, on 4-5 July 2019
Monitoring and Evaluation of NAP: Brazil’s experience | Nelcilandia Pereira d...NAP Global Network
Presentation by Nelcilandia Pereira de Oliveira, Brazil's Ministry of Environment, as part of the NAP Global Network's Targeted Topics Forum held in Nadi, Fiji, in February 2018.
Place-Based Decision Making Grounded in Community Processes and Data Visualiz...Practical Playbook
The Practical Playbook
National Meeting 2016
www.practicalplaybook.org
Bringing Public Health and Primary Care Together: The Practical Playbook National Meeting was at the Hyatt Regency in Bethesda, MD, May 22 - 24, 2016. The meeting was a milestone event towards advancing robust collaborations that improve population health. Key stakeholders from across sectors – representing professional associations, community organizations, government agencies and academic institutions – and across the country came together at the National Meeting to help catalyze a national movement, accelerate collaborations by fostering skill development, and connect with like-minded individuals and organizations to facilitate the exchange of ideas to drive population health improvement.
The National Meeting was also a significant source of tools and resources to advance collaboration. These tools and resources are available below and include:
Session presentations and materials
Poster session content
Photos from the National Meeting
The conversation started at the National Meeting is continuing in a LinkedIn Group "Working Together for Population Health" and Twitter. Use #PPBMeeting to provide feedback on the National Meeting.
The Practical Playbook was developed by the de Beaumont Foundation, the Duke University School of Medicine Department of Community and Family Medicine, the Centers for Disease Control and Prevention (CDC), and Health Resources & Services Administration (HRSA).
The scientific paper "Assessing Governmental Policies’ Impact through Prosperity Indicators and Open Data" (related to the Policy Compass project) was presented in the context of EGOSE 2014.
Game Changing Decisions: Using Wave Studies To Understand Changes To Your BrandEMI Research Solutions
When organizations face decisions that can vastly alter their operations or how they do business, these can be called “game-changing” decisions. As these decisions are made, organizations want to measure what impact these decisions have with brand perception in the marketplace.
How best can organization measure the impact of their decision?
Check out the deck from our webinar Game-Changing Decisions: Using Wave Studies To Understand Changes To Your Brand, to discover how.
Presentation by Mr. Paolo Veneri, Head of Territorial Statistics and Analysis, OECD
The 2nd OECD Roundtable on Cities and Regions for the SDGs was held at the World Conference Center in Bonn, Germany, on 9 December 2019, within the scope of the OECD programme on A Territorial Approach to the SDGs. The Roundtable brought together cities, regions, national governments, international organisations, private sector and other key stakeholders to identify trends and challenges in the localisation of the SDGs, including the experiences and key findings from the pilots of the programme.
Similar to IAOS 2018 - Proposing a use of statistics indicator in national development plans, R. Avendano (20)
Presentation from Tatsuyoshi Oba, Executive Manager of Group HR Division, Persol Holdings during the OECD WISE Centre & Persol Holdings Workshop on Advancing Employee Well-being in Business and Finance, 22 November 2023
Presentation from Amy Browne, Stewardship Lead, CCLA Investment Management, during the OECD WISE Centre & Persol Holdings Workshop on Advancing Employee Well-being in Business and Finance, 22 November 2023
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
IAOS 2018 - Proposing a use of statistics indicator in national development plans, R. Avendano
1. 2018 PARIS21 ANNUAL
MEETINGS
5 APRIL 2018
PROPOSING A USE OF STATISTICS INDICATOR
IN NATIONAL DEVELOPMENT PLANS
International Association for Official Statistics Conference 2018
Paris – September 20 2018
Parallel session on Statistical evidence on policy making
2. 2
History of the indicator
• Introduced in 2010 to assess impact of international statistical capacity
building activities in developing countries, following external evaluation of
P21 in 2009.
• Reports in 2010, 2012, 2014 and 2015. A similar indicator is used to inform
logframes and monitor Global Action Plans.
• In 2015 the manual coding was partially replaced with data mining.
3. 3
Why is it useful?
• Link between statistical development and policy making (impact of P21’s
activity).
• Replicable, low-cost methodology already implemented in other indicators (e.g.
statistical literacy, tweet global summits)
• Extensible to new areas of work for P21: gender, sectoral (e.g. agriculture)
• Popular indicator for partners and contribution to current debate on “quality” of
NDPs (e.g. well-being, SDGs)
4. 4
• Scoring system to measure use of statistics in public policy documents
• Automatised methods (data mining) to produce quantitative metrics on
countries’ official use of statistics
• Different dimensions considered:
• Upstream: how statistics contribute to decision-making
• Downstream: Monitoring and evaluation
• Target audience: policy makers, academics and users
What does it do?
5. 5
Example: Sierra Leone NDP
Food poverty incidence in rural areas fell from 71%
in 2003 to 51% in 2011; in urban areas it declined
even more significantly, from 63.5% to 40.8% in
2011, particularly in the poorest quantiles.
6. 6
Scoring
Component Total score Description
Up
stream
Basic use
Level 1: 10 pts Basic: Introduction of measurable concept
Level 2: 20 pts Diagnosis: depiction of state of measurable concept
Level 3: 30 pts
Analysis: use of statistical methods to describe state and
causes of variation
Disaggregation 20 pts
Frequency of disaggregation keywords across NDP
sectors/topics
Down
stream
Monitoring and evaluation
arrangements
10 pts Frequency of M&E keywords across NDP sectors
Assessment of previous plans 10 pts Analysis undertaken about previous plans
7. 7
Innovations
• Coverage: 102 countries (199 documents)
• Keyword list
• New sectoral classification
• International databases by topic
• Clustering for validation
• Three different levels on sophistication of use based on Stat. Literacy index
• Sentence level analysis in four dimensions
• New weights, related to depth of analysis for each section
8. 8
Example: Sierra Leone
Food poverty incidence in rural areas fell from 71%
in 2003 to 51% in 2011; in urban areas it declined
even more significantly, from 63.5% to 40.8% in
2011, particularly in the poorest quantiles.
Level 1: indicator
Level 2: indicator + figure
Level 3: indicator + statistical term
Disaggregation: dimensions of disaggregation
9. 9
Summary results
Max: 62Min: 8
Mean
SD: 11 Min Max Mean SD
2000-2008 8 62 38 11
2009-2017 11 62 42 11
PRSP 12 60 40 9
NDP 8 62 40 12
11. 11
Robustness checks: Sensitivity
Boxplot showing the median rank and the corresponding 25th and 95th percentile
Rank 85:
Weighted
aggregate of
standardized
scores
Rank 31:
Weighted
geometric
aggregate
13. 13
Research and policy in development
Framework
The political context – political
and economic structure, culture,
institutional pressures, incremental
vs radical change etc.
The evidence – credibility,
research approaches and
methodology, communication,
etc
External Influences
Socio-economic and
cultural influences,
donor policies etc
The links between policy
and research communities –
networks, relationships, power,,
trust, knowledge etc.
Source: ODI
14. 14
Proxy indicators
Political context
• CPIA
• WGI
Evidence
• SCI
• Statistical literacy
External Influences
• GDP per capita
• ODA
• HDI
• Adult literacy
Links
• Press freedom
UoS
15. 15
Concurrent validity checks
SCI
(Yr-1)
CPIA
(Yr-1)
WGI: Voice and
Accountability
(Yr-1)
Press Freedom
(Yr-1)
HDI
(Yr-1)
Literacy
(Yr-1)
GDP per capita
(Yr-1)
Official Development
Assistance
(10 prev Yrs)
Total 0.17* 0.15 -0.12 0.19* 0.08 0.09 -0.06 0.09
Africa 0.17 0.27* -0.02 0.08 -0.03 -0.08 -0.18 0.11
Asia 0.06 -0.12 -0.29* 0.33* -0.01 0.03 -0.13 0.10
Oceania,
Europe
and
America
0.23 0.50 0.22 0.05 0.44* 0.63* 0.13 -0.10
PRSP 0.33* 0.23 -0.01 0.13 0.18 0.18 0.10 -0.05
NDP 0.07 0.10 -0.19 0.23* 0.03 0.02 -0.09 0.13
2000-2008 0.20* 0.16 -0.14 0.26* 0.10 0.13 -0.16 0.05
2009-2017 0.09 0.16 -0.08 0.06 -0.05 0.03 -0.02 0.07
Pairwise Pearson correlation between selected indicators and use of statistics for the various sub-populations in the
sample
16. 16
• Complement with in-depth analysis of specific components in
NDPs/PRSPs/Sectoral policies
• Develop UoS indicator for specific sectors (e.g. gender, agriculture, labour)
• Feedback on statistical planning tools (e.g. ADAPT)
• Go beyond policy documents review: strengthen methodology
• Monitoring & Evaluation
• NDPs progress reports
• Feed statistical literacy work stream and PARIS21 Flagship report
Way forward
17. 17
• Is the indicator relevant for a policy maker? How it can be improved?
• What other dimensions to analyse in NDPs (e.g. disaggregation)?
• Limitations (e.g. bias in keywords, no sematic analysis). How to tackle?
Questions for the audience
19. 19
Towards better use of statistics
CD 4.0: a
demand-driven
approach
Channels: from
capacity to use
From Use to
Governance
20. 20
Rank 2: Non-weighted aggregate
Rank 3: Weighted aggregate of standardized scores (z scores)
Rank 4: Non-weighted aggregate of z scores
Rank 5: Weighted geometric aggregate (only for documents where all
components are different than zero)
Rank 6: Aggregate excluding level 3, rescaled weights for the rest of the
components
Rank 7: Aggregate of z scores, excluding level 3 and rescaling weights for the
rest of the components
Rank 8: Aggregate excluding level 2, rescaled weights for the rest of the
components
Rank 9: Aggregate of z scores, excluding level 2 and rescaling weights for the
rest of the components
Rank 10: Weighted aggregate of rescaled scores for individual components
Coverage: We are now able to collect more documents from different sources
Key words:
The clustering method help us identify more keywords in each sector using the primary list of words.
a list of indicators from international agencies (World Bank, WHO, UNESCO, UNIDO, ITU, UN Women, OCHR, UNWTO, ILO, OECD, EU, UNSD). A key improvement to the existent indicator was to include (in a simplified form) a list of statistical terms related to the SDG agenda, which was previously not considered.
The three level is built on the previous work in statistical literacy.
4 levels: frequency of use of statistics, sector involved, upstream associated to problem identification, programme design, policy choice and forecasting) and downstream ((monitoring and evaluation and policy impact evaluation), level of use.
Coverage: We are now able to collect more documents from different sources
Key words:
The clustering method help us identify more keywords in each sector using the primary list of words.
a list of indicators from international agencies (World Bank, WHO, UNESCO, UNIDO, ITU, UN Women, OCHR, UNWTO, ILO, OECD, EU, UNSD). A key improvement to the existent indicator was to include (in a simplified form) a list of statistical terms related to the SDG agenda, which was previously not considered.
The three level is built on the previous work in statistical literacy.
4 levels: frequency of use of statistics, sector involved, upstream associated to problem identification, programme design, policy choice and forecasting) and downstream ((monitoring and evaluation and policy impact evaluation), level of use.
https://www.odi.org/events/presentations/1020.ppt
the identification and analysis of specific components in NDPs/PRSPs: including Monitoring and Evaluation frameworks and the assessment of progress (period over period) between National Development Plans.
Developing a UoS indicator for specific sectors (e.g. agriculture, gender or labour): using sector-specific lists and document for the analysis.
the identification and analysis of specific components in NDPs/PRSPs: including Monitoring and Evaluation frameworks and the assessment of progress (period over period) between National Development Plans.
Developing a UoS indicator for specific sectors (e.g. agriculture, gender or labour): using sector-specific lists and document for the analysis.
