evento on line Roma, 30 settembre 2020
Innovazioni e problematiche di misura connesse alla sostenibilità e per il monitoraggio degli SDGs
A cinque anni dall’approvazione dell’Agenda 2030 e dei relativi Target, gli SDGs hanno assunto un peso sempre maggiore nelle politiche sovranazionali e nazionali, basti ricordare gli indirizzi della nuova Commissione UE. Per il nostro Paese è da sottolineare l’importanza della definizione della Strategia per lo Sviluppo Sostenibile a livello Nazionale e Regionale, che preveda anche il monitoraggio delle azioni attivate. Alla luce di questa evoluzione, si ritiene opportuno focalizzare l’attenzione sulla capacità di misurare l’evoluzione dei diversi aspetti connessi agli Obiettivi dell’Agenda 2030. A tal fine l'Istat produce annualmente due aggiornamenti del sistema di indicatori utili al monitoraggio degli SDGs per l'Italia. L’evento, organizzato da ASviS e Istat, è l’occasione per fare il punto sul monitoraggio degli indicatori e per presentare le innovazioni e le problematiche che si sono riscontrate nello sviluppare tali attività.
The Short and Winding Road to 2030 - Measuring Distance to the SDG Targets, R...StatsCommunications
Launch of the new OECD report
"The Short and Winding Road to 2030: Measuring Distance to the SDG Targets" on 27 April 2022. More information at: www.oecd.org/publications/the-short-and-winding-road-to-2030-af4b630d-en.htm
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.
Presented by Khassoum Diallo, Programme Manager, Health Monitoring and Analysis, Division of Information, Evidence, Research and Innovation, at the 66th Session of the WHO Regional Committee for Europe.
evento on line Roma, 30 settembre 2020
Innovazioni e problematiche di misura connesse alla sostenibilità e per il monitoraggio degli SDGs
A cinque anni dall’approvazione dell’Agenda 2030 e dei relativi Target, gli SDGs hanno assunto un peso sempre maggiore nelle politiche sovranazionali e nazionali, basti ricordare gli indirizzi della nuova Commissione UE. Per il nostro Paese è da sottolineare l’importanza della definizione della Strategia per lo Sviluppo Sostenibile a livello Nazionale e Regionale, che preveda anche il monitoraggio delle azioni attivate. Alla luce di questa evoluzione, si ritiene opportuno focalizzare l’attenzione sulla capacità di misurare l’evoluzione dei diversi aspetti connessi agli Obiettivi dell’Agenda 2030. A tal fine l'Istat produce annualmente due aggiornamenti del sistema di indicatori utili al monitoraggio degli SDGs per l'Italia. L’evento, organizzato da ASviS e Istat, è l’occasione per fare il punto sul monitoraggio degli indicatori e per presentare le innovazioni e le problematiche che si sono riscontrate nello sviluppare tali attività.
The Short and Winding Road to 2030 - Measuring Distance to the SDG Targets, R...StatsCommunications
Launch of the new OECD report
"The Short and Winding Road to 2030: Measuring Distance to the SDG Targets" on 27 April 2022. More information at: www.oecd.org/publications/the-short-and-winding-road-to-2030-af4b630d-en.htm
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.
Presented by Khassoum Diallo, Programme Manager, Health Monitoring and Analysis, Division of Information, Evidence, Research and Innovation, at the 66th Session of the WHO Regional Committee for Europe.
C. Mayer, 30 Novembre - 1 Dicembre 2021 -
Webinar: La sostenibilità ambientale e territoriale: misure statistiche per l’Agenda 2030
Titolo: Eurostat monitoring of sustainable development in the EU context
Find out how far OECD countries are from achieving the SDG targets. Based on the UN Global Indicator List, and using UN SDG and OECD data, the OECD has developed a unique methodology allowing comparison of progress across SDG goals and targets. Measuring Distance to the SDG Targets 2019 - An Assessment of Where OECD Countries Stand also includes innovative analyses on trends and on measuring the transboundary aspects of the 2030 Agenda as well as country notes showing performance at the target level and data gaps for individual OECD countries.
Webinar: En route to achieving the SDGs in Cities and Regions - An OECD data ...OECDregions
The presentation introduces some highlights from the OECD’s work on A Territorial Approach to the SDGs, which is contributing to the OECD Action Plan on the SDGs launched in 2016.
It focuses specifically on the data and visualisation tool the OECD has produced to measure the distance of cities and regions stand vis à vis the SDGs, how they perform compared to national and OECD averages and their peers within and across countries.
Visit our website: www.oecd.org/cfe
Learn more about our programme: http://oe.cd/sdgs-local
Follow us on Twitter: @OECD_local
This presentation comprises highlights from the publication OECD Competition Trends 2023 released virtually 23 February 2023 during the OECD Competition Open Day. The full publication can be found at oe.cd/comp-trends.
On 28 April 2021, Shardul Agrawala, Head, Environment and Economy Integration Division, OECD Environment Directorate, presented the OECD report "The Economic Benefits of Air Quality Improvements in Arctic Council Countries".
Presentation by Joaquim Oliveira Martins at the 1st Forum of the EU Strategy for the Adriatic and Ionian Region which took place in Dubrovnik, Croatia on 12-13 May 2016.
www.oecd.org/gov/regional-policy/
Presentation on Regional OECD Well-being made at the conference "How to recover from the crisis. Cities, communities and smart specialisations" held in Padua, Italy 11-13 September 2014, by Paolo Veneri, Economist (Rural-Urban Linkages) Regional Development Policy Division.
For more information please see www.oecd.org/regional/how-is-life-in-your-region.htm
Global State of National Urban Policy 2021 - Presentation by Lamia Kamal-ChaouiOECDregions
The Global State of National Urban Policy 2021 report reviews the NUPs of 162 countries across the world. Building on the first edition launched in 2018, the report takes stock and rovides analysis of form, scope, and stage of development of NUP for policymakers and urban professionals. As such, this global monitoring aims to unpack how and in what forms NUPs have been developed, implemented and assessed globally.
The report assists national governments in advancing NUP processes, especially in improving links with Agenda 2030 for Sustainable Development and the New Urban Agenda, and mainstreaming climate action into NUP. The report is a collaborative project of the OECD, UN-Habitat and Cities Alliance, and an outcome of the National Urban Policy Programme, a global partnership launched in 2016 at the Habitat III Conference.
Presentation at the 5th Global Science Conference on Climate-Smart Agriculture.
Title: Climate-smart agriculture and the Sustainable Development Goals and M&E for CSA
Speaker: Federica Matteoli & Heather Jacobs
C. Mayer, 30 Novembre - 1 Dicembre 2021 -
Webinar: La sostenibilità ambientale e territoriale: misure statistiche per l’Agenda 2030
Titolo: Eurostat monitoring of sustainable development in the EU context
Find out how far OECD countries are from achieving the SDG targets. Based on the UN Global Indicator List, and using UN SDG and OECD data, the OECD has developed a unique methodology allowing comparison of progress across SDG goals and targets. Measuring Distance to the SDG Targets 2019 - An Assessment of Where OECD Countries Stand also includes innovative analyses on trends and on measuring the transboundary aspects of the 2030 Agenda as well as country notes showing performance at the target level and data gaps for individual OECD countries.
Webinar: En route to achieving the SDGs in Cities and Regions - An OECD data ...OECDregions
The presentation introduces some highlights from the OECD’s work on A Territorial Approach to the SDGs, which is contributing to the OECD Action Plan on the SDGs launched in 2016.
It focuses specifically on the data and visualisation tool the OECD has produced to measure the distance of cities and regions stand vis à vis the SDGs, how they perform compared to national and OECD averages and their peers within and across countries.
Visit our website: www.oecd.org/cfe
Learn more about our programme: http://oe.cd/sdgs-local
Follow us on Twitter: @OECD_local
This presentation comprises highlights from the publication OECD Competition Trends 2023 released virtually 23 February 2023 during the OECD Competition Open Day. The full publication can be found at oe.cd/comp-trends.
On 28 April 2021, Shardul Agrawala, Head, Environment and Economy Integration Division, OECD Environment Directorate, presented the OECD report "The Economic Benefits of Air Quality Improvements in Arctic Council Countries".
Presentation by Joaquim Oliveira Martins at the 1st Forum of the EU Strategy for the Adriatic and Ionian Region which took place in Dubrovnik, Croatia on 12-13 May 2016.
www.oecd.org/gov/regional-policy/
Presentation on Regional OECD Well-being made at the conference "How to recover from the crisis. Cities, communities and smart specialisations" held in Padua, Italy 11-13 September 2014, by Paolo Veneri, Economist (Rural-Urban Linkages) Regional Development Policy Division.
For more information please see www.oecd.org/regional/how-is-life-in-your-region.htm
Global State of National Urban Policy 2021 - Presentation by Lamia Kamal-ChaouiOECDregions
The Global State of National Urban Policy 2021 report reviews the NUPs of 162 countries across the world. Building on the first edition launched in 2018, the report takes stock and rovides analysis of form, scope, and stage of development of NUP for policymakers and urban professionals. As such, this global monitoring aims to unpack how and in what forms NUPs have been developed, implemented and assessed globally.
The report assists national governments in advancing NUP processes, especially in improving links with Agenda 2030 for Sustainable Development and the New Urban Agenda, and mainstreaming climate action into NUP. The report is a collaborative project of the OECD, UN-Habitat and Cities Alliance, and an outcome of the National Urban Policy Programme, a global partnership launched in 2016 at the Habitat III Conference.
Presentation at the 5th Global Science Conference on Climate-Smart Agriculture.
Title: Climate-smart agriculture and the Sustainable Development Goals and M&E for CSA
Speaker: Federica Matteoli & Heather Jacobs
Similar to IAOS 2018 - OECD study on measuring distance to SDG targest, M. Shinwell (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
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.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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).
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
IAOS 2018 - OECD study on measuring distance to SDG targest, M. Shinwell
1. OECD Study on Measuring
Distance to SDG Targets
IAOS Conference, Better Statistics for Better Lives
Paris, 20 September 2018
Michal Shinwell
2. OECD Study: Measuring Distance to SDG targets
Designed in response to demand by OECD
countries
Tool to help identify priorities for action and
communicate on the challenge of SDG
First presented to OECD Council in July 2016,
then in margins of High Level Policy Forum
in New York
2017 Update published in June, with 13
countries covered: Belgium, Czech Republic,
Denmark, Finland, Italy, Korea, Luxembourg,
Latvia, the Netherlands, Norway, Slovenia,
Slovak Republic and Sweden
Next update to be published in Q1/2019,
including expanded data and country
coverage.
4. The methodology of the Study
In order to measure distance from SDGs, we need to:
1. Select indicators (and collate data)
2. Set levels for targets
3. Normalise values to use one unifying metric
5. Selecting indicators
Indicators selected based on UN IAEG list and complemented by
OECD data:
OECD data for indicators comparable to UN global framework (65)
OECD proxies for UN indicators where UN does not yet have data (14)
UN data where no OECD sources exist (37)
Additional relevant OECD indicators (15)
Total of 128 unique indicators covering 98 targets
6. Available data on SDGs describe a statistical agenda
ahead for OECD countries
0
25
50
75
100
0
25
50
75
100
Percentage of targets covered by Goal (left) and the 5Ps (right), all OECD countries
7. Setting target levels
Three sources of 2030 target levels (absolute/relative):
Directly from 2030 Agenda, e.g. ODA/GNI target of 0.7% (40%)
Agreed in international agreements or norms, e.g. PM 2.5
pollution less than 10 micrograms/m3 (33%)
Best OECD performance now (10th percentile), e.g. ~ 56% waste
recycling rate (27%)
8. Modified Z-score
D 𝐴 = max
𝑇 − 𝑥
ߪ
, 0
ߪ
5 ߪ
Normalising distances to targets
• Normalisation method: modified “z-score”
• Standard deviation of available data for all OECD countries
Current performance,
country x
Target to achieve
by 2030
9. Study Results
OECD average results by Goal and 5 Ps
0.00
0.50
1.00
1.50
2.00
2.50
3.00
Poverty
Food
Health
Education
GenderEquality
Water
SustainableProduction
Climate
Oceans
Biodiversity
Energy
Economy
Infrastructure
Inequality
Cities
Institutions
Implementation
.
People Planet Prosperity Peace Partnership
Note: This figure shows OECD’s distance to travel towards each of the 17 Goals of the 2030 Agenda. Bars show OECD’s performance.
The y-axis indicates the distance from reaching the target in standardised units. 0 indicates that the level for 2030 has already been
attained, and the axis starts at 3 as most OECD countries have already attained this level. Distances to target are aggregated at the goal
level (all targets weighted equally).
10. Countries’ distances vary by goal
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
Note: The distribution of OECD countries’ distances on the 17 Goals in standard deviation units. Central black bars: OECD
median country score. Box boundaries: first and third quartiles of the country distribution. Whiskers: 10th and 90th
percentiles of this distribution.
How OECD countries vary in their distance to targets, by SDG Goal
11. Results visualised at target, goal and 5P level
Note: The chart shows how far the OECD (on average) is from achieving each target for which data is available. The longer
the bars the shorter the distance is to be travelled by 2030. Targets are clustered by goal, and goals are clustered by the
12. Next steps for the OECD Study
• Assist member countries in using the Study to inform
national debates, design implementation strategies
and for HLPF presentations
• Updated Study to be published in March 2018,
including expanded coverage of targets, indicators and
countries
• Further exploration of SDGs: SDGs for children and
youth, Transboundary effects within the SDGs
(working papers, forthcoming)