High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
The Academy of Science of South Africa (ASSAf) takes proud in the implementation of this new initiative. We are looking forward working with all African continents in populating this platform with information.
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
The Academy of Science of South Africa (ASSAf) takes proud in the implementation of this new initiative. We are looking forward working with all African continents in populating this platform with information.
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Archaeological Training in an Open Access World: Lessons from the REWARD Proj...ariadnenetwork
Presentation by Anastasia Sakellariadi and Brian Hole (UCL Institute of Archaeology & Ubiquity Press)
EAA 2014 session: Open Access and Open Data in Archaeology
Istanbul, Turkey
13 September 2013
What is an archaeological research infrastructure and why do we need it? Aims...ariadnenetwork
Presentation by:
Edeltraud Aspöck, OREA (Institute for Rriental and European Archaeology)
and
Guntram Geser, Salzburg Research
Full-day session on archaeological infrastructures and services at the 18th Cultural Heritage and New Technologies (CHNT) conference
Vienna, Austria
11th -13th November 2013
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Archaeological Training in an Open Access World: Lessons from the REWARD Proj...ariadnenetwork
Presentation by Anastasia Sakellariadi and Brian Hole (UCL Institute of Archaeology & Ubiquity Press)
EAA 2014 session: Open Access and Open Data in Archaeology
Istanbul, Turkey
13 September 2013
What is an archaeological research infrastructure and why do we need it? Aims...ariadnenetwork
Presentation by:
Edeltraud Aspöck, OREA (Institute for Rriental and European Archaeology)
and
Guntram Geser, Salzburg Research
Full-day session on archaeological infrastructures and services at the 18th Cultural Heritage and New Technologies (CHNT) conference
Vienna, Austria
11th -13th November 2013
The African Story of Open Research - Nozuko Zukie HlwatikaRight to Research
This presentation by Nozuko Zukie Hlwatika was part of OpenCon 2017's Regional Models for Open Research and Open Education panel.
In her talk, Zukie covered Open Science, particularly Open Data in Africa. This was done from the perspective of the African Open Science Platform initiative. The status of Open Data in Africa was discussed through the lenses of policy, infrastructure, capacity building and incentives as per the initiatives focus areas. A list of countries actively involved in the advancement of Open Data was highlighted as well as those that need greater intervention. Possible Marginalised models for promoting open science in Africa were shared with the audience.
Presented at a NeDICC (Network of Data and Information Curation Communities) meeting, 14 March 2019, CSIR, and at the University of Pretoria and the Carnegie Corporation of New York Capstone Conference, 24-29 March 2019, Kieviets Kroon.
Federation and Interoperability in the Nectar Research CloudOpenStack
Audience Level
Beginner
Synopsis
The Nectar Research Cloud provides an OpenStack cloud for Australia’s academic researchers. Since its inception in 2012 it has grown steadily to over 30,000 CPUs, with over 10,000 registered users from more than 50 research institutions. It is different to many clouds in being a federation across eight organisations, each of which runs cloud infrastructure in one or more data centres and contributes to a distributed help desk and user support. A Nectar core services team runs centralised cloud services. This presentation will give an overview of the experiences, challenges and benefits of running a federated OpenStack cloud and a short demonstration on using the Nectar cloud. We will also describe some current approaches that are looking to extend this federation to encompass other institutions including some in New Zealand, to extend the infrastructure using commercial cloud providers, and to move towards interoperability with the growing number of international science and research clouds through the new Open Research Cloud initiative.
Speaker Bio
Dr Paul Coddington is a Deputy Director of Nectar, responsible for the Nectar national Research Cloud, and also Deputy Director of eResearch SA. He has over 30 years experience in eResearch including computational science, high performance and distributed computing, cloud computing, software development, and research data management.
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High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
More from Academy of Science of South Africa (ASSAf) (20)
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.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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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
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.
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Sum with different modes (reduce)
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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.
2. Agenda
• What is Open Science?
• Rationale for an African Open Science Platform
• About the Platform
• Focus Areas
• Next steps
3.
4. Open Science Defined
“Open Science is the practice of science in such a
way that others can collaborate and contribute,
where research data, lab notes and other
research processes are freely available, under
terms that enable reuse, redistribution and
reproduction of the research and its
underlying data and methods.” - FOSTER Project,
funded by the European Commission
5. “Open Science moves beyond open access
research articles, towards encompassing other
research objects such as data, software codes,
protocols and workflows. The intention is for
people to use, re-use and distribute content
without legal, technological or social
restrictions. In some cases, Open Science also
entails the opening up of the entire research
process from agenda-setting to the
dissemination of findings.” - Open and Collaborative
Science in Development Network project, funded by IDRC
7. “Several open science activities are underway
across Africa, but a great deal will be gained if, in
the context of developing inter-regional links,
these activities were to be coordinated and
developed through such a coordinating
initiative.” - CODATA
9. Intellectual Property
“In many African countries, intellectual property
protection is undeveloped, ineffective,
expensive and unenforced and in some African
countries there exists uncertainty on protection
of IP and the threat of innovation being stolen
away from inventors.”
https://ipstrategy.com/2016/12/05/a-new-look-at-intellectual-property-and-
innovation-in-africa/
10. Accord on Open Data in a
Big Data World
• Open Science is fundamental
to 21st Century discovery and
needs to be supported
• Values of open data in
emerging scientific culture of
big data
• Need for an international
framework
• Proposes comprehensive set
of principles
• Provides framework & plan for
African data science capacity
mobilization initiative
• Proposes African Platform
Call to Endorse
11. Value of an African Platform
• Collective view of Open Science activities
• Create awareness & showcase African research
• Contribute to global knowledgebase
• Increase return on investment (re-use)
• Identify lack of data/opportunities/gaps
12. • Identify needs e.g. skills development,
infrastructure, policy formulation, etc.
• Act as conduit for links with international open
data and open science programmes and
standards
• Cross-use data across disciplines/studies
• Establish relationships between data
• Manage Intellectual Property (IP)
13. • Make data more discoverable/visible
(metadata)
• Encourage collaboration between scientific &
private sectors, citizens
• Participate in collective problem-solving
• Allow verification of existing data, predict
trends
• Accelerate discovery – speed is everything (e.g.
outbreaks)
• Attract funders
14. About AOSP
• Funded by the National Research Foundation
(NRF) (SA Dept. of Science and Technology)
• Directed by CODATA (ICSU)
• Managed by Academy of Science of South
Africa (ASSAf)
• Through ASSAf hosting ICSU Regional Office for
Africa (ICSU ROA)
15. About ICSU & CODATA
• ICSU: International Council for Science –
consists of 17 interdisciplinary bodies e.g.
CODATA
http://www.icsu.org/
• CODATA: Committee on Data for Science and
Technology
http://www.codata.org/
• Mission: Strengthen international science for
the benefit of society by promoting improved
scientific and technical data management and
use
16. About ASSAf
• Recognise scholarly achievement & excellence
• Mobilise members in the service of society
• Conduct systematic & evidence-based studies
on issues of national importance (ASSAf OA
Repository)
• Promote the development of an indigenous
system of South African research
• Publish science-focused journals (SciELO SA)
• Training in Open Journal Systems (OJS)
• Criteria for high quality OA journals
• Ambassador for Directory of Open Access Journals
(DOAJ)
17. • Develop productive partnerships with national,
regional and international organisations to
building capacity within the National System of
Innovation (NSI)
• Create diversified sources of funding for
sustainable functioning and growth of a national
academy
• Communicate with relevant stakeholders
• Association of African Universities (AAU) DATAD-R
harvester of OA repositories
• Evaluation instrument – harvesting IRs adhering to
criteria for best practice (ISO 16363, Data Seal of
Approval etc.)
18. AOSP Governance
• Advisory Council (Chair: Prof Khotso Mokhele)
• Terms of Reference
• Technical Advisory Board
• Terms of Reference
• Platform Office (ASSAf) & ICSU/CODATA Office
• CODATA Executive Director (Dr Simon Hodson)
• 2x Senior Project Managers (Ina Smith & Susan
Veldsman)
• Project plan
• Capacitate on network
• Reports to funder
• Workshops, meetings, presentations
• 1x Junior Project Officer (ASSAf)
19. Key Stakeholders
• Global Network of Science Academies (IAP)
• International Council for Science (ICSU)
• Regional Office for Africa (ROA)
• Committee on Data for Science and Technology
(CODATA)
• World Data System (WDS)
• The World Academy of Sciences (TWAS)
• Research Data Alliance (RDA)
• Association of African Universities (AAU)
20. • Network of African Science Academies (NASAC)
• African Research Councils (incl. DIRISA, funders)
• African Universities
• African Governments
• NRENs (Internet Service Providers for
Education)
• Other
21. 4 Focus Areas
Establish African Open Data Forum / Platform
Funded Research Data Infrastructure
Initiatives
Funded, co-designed transdisciplinary
research projects
Co-design African Open Data
Policies
Develop Incentives Frameworks
Develop Research Data Science Training
African Research Data Infrastructure
Roadmap
Activities require
low funding for
coordination,
secondment,
contributions in
kind and
evaluation.
Activities require higher
investment for
coordination, co-design
implemenatation and
evaluation.
22. Policy Framework
• Uganda Draft Open Data Policy
• White Paper on Open Research in South Africa
• National Research Foundation (NRF)
• White Paper on Open Research Data Strategy
in Botswana
• Kenya Open Science Policy
• OECD Principles & Guidelines for Access to
Research Data from Public Funding
23. Infrastructure Framework
• RDM, Repositories (cloud), Internet
Connectivity
• NRENs
• Centres for High Performance Computing
• SKA telescope: Explore five untold secrets of
the cosmos. These include how the very first
stars and galaxies formed just after the Big
Bang.
24. “Construction of the SKA is due to begin in 2018 and finish
sometime in the middle of the next decade. Data acquisition
will begin in 2020, requiring a level of processing power
data management know-how that outstretches current
capabilities.
Astronomers estimate that the project will generate 35,000-
DVDs-worth of data every second. This is equivalent to “the
whole world wide web every day,” said Fanaroff.
The project is investing in machine learning and artificial
intelligence software tools to enable the data analysis. In
advance of construction of the vast telescope - which will
consist of some 250,000 radio antennas split between sites in
Australia and South Africa - SKA already employs more than
400 engineers and technicians in infrastructure, fibre optics
and data collection.”
http://sciencebusiness.net/news/79927/Square-Kilometre-Array-
prepares-for-the-ultimate-big-data-challenge
31. Actions & Deliverables Year 1
• AOSP Side Event to the SFSA 2016 - Launch
• AOSP Workshop AAU 2017 - Policy
• Madagascar Meeting & Workshop 2017 –
Policy & Capacity Building
• Botswana National Open Data Open Science
Forum 2017 - Policy
• UbuntunetConnect Ethiopian Workshops 2017
– Policy & Infrastructure
• Database & Networks – Surveys etc
32. Closing Remarks
• Collaborate & learn – strength in diversity
• Data the new “gold” – predict trends (Prof
Joseph Wafula)
• Trusted data managed in trusted way
• Exploit data for the benefit of society (Min
Naledi Pandor)
• Tell the African story, in an African way
33. Stay in Touch!
• ina@assaf.org.za
• Web: http://africanopenscience.org.za/
• Mailing list
• Facebook
• Twitter: #aosp_official
Editor's Notes
William Edwards Deming (October 14, 1900 – December 20, 1993) was an American engineer, statistician, professor, author, lecturer, and management consultant. Educated initially as an electrical engineer and later specializing in mathematical physics, he helped develop the sampling techniques still used by the U.S. Department of the Census and the Bureau of Labor Statistics. In his book The New Economics for Industry, Government, and Education,[1] Deming championed the work of Walter Shewhart, including statistical process control, operational definitions, and what Deming called the "Shewhart Cycle"[2] which had evolved into PDSA (Plan-Do-Study-Act). This was in response to the growing popularity of PDSA, which Deming viewed as tampering with the meaning of Shewhart's original work.[3] Deming is best known for his work in Japan after WWII, particularly his work with the leaders of Japanese industry. That work began in August 1950 at the Hakone Convention Center in Tokyo when Deming delivered a speech on what he called "Statistical Product Quality Administration". Many in Japan credit Deming as one of the inspirations for what has become known as the Japanese post-war economic miracle of 1950 to 1960, when Japan rose from the ashes of war on the road to becoming the second largest economy in the world through processes partially influenced by the ideas Deming taught:[4]
Better design of products to improve service
Higher level of uniform product quality
Improvement of product testing in the workplace and in research centers
Greater sales through side [global] markets
Deming is best known in the United States for his 14 Points (Out of the Crisis, by W. Edwards Deming, preface) and his system of thought he called the "System of Profound Knowledge". The system includes four components or "lenses" through which to view the world simultaneously:
Appreciating a system
Understanding variation
Psychology
Epistemology, the theory of knowledge[5]
Deming made a significant contribution to Japan's reputation for innovative, high-quality products, and for its economic power. He is regarded as having had more impact on Japanese manufacturing and business than any other individual not of Japanese heritage. Despite being honored in Japan in 1951 with the establishment of the Deming Prize, he was only just beginning to win widespread recognition in the U.S. at the time of his death in 1993.[6] President Ronald Reagan awarded him the National Medal of Technology in 1987. The following year, the National Academy of Sciences gave Deming the Distinguished Career in Science award.
Promote development & adoption of data policies, principles, practices, standards
Determine infrastructure available
Address issues of incentives, best practice, benefits
Foster training & capacity building activities
Create an awareness, stimulate dialogue (frontiers)
The NSRC cultivates collaboration among a community of peers to build and improve a global Internet that benefits all parties. We facilitate the growth of sustainable Internet infrastructure via technical training and engineering assistance to enrich the network of networks. Our goal is to connect people.
SFSA Side Event & Panel Discussion (December 2016)
Visit http://africanopenscience.org.za/
Advisory Council & Technical Advisory Board
Planning Phase
Next (Year 1):
Expanding network, contacts, information on initiatives
Identify/train representatives on national level (each country actively producing data, with research interest)
Awareness - coordinate national workshops to introduce AOSP, open approaches – existing initiatives (conferences, w/s)
Desktop research to identify initiatives on national level & populate database
Engage with African stakeholders