The Technical Analytical Network (TAN) in Mozambique was established in 2017 to provide technical and analytical support for Mozambique's agriculture sector plans and goals. From 2017-2019, the TAN conducted several studies on topics like the impacts of climate change, seed systems, mechanization programs, and fertilizer value chains. The TAN also helped strengthen capacities for Mozambique's agriculture sector monitoring and evaluation. Moving forward, the TAN aims to establish regional branches, conduct more studies aligned with sector goals, and improve coordination to avoid duplication of efforts. Key challenges include building partnerships, resource mobilization, and setting up analytical networks in each development corridor.
CountrySTAT REGIONAL BASIC ADMINISTRATOR TRAINING for GCC MEMBER STATESFAO
"http://www.countrystat.org
FAO will work together, in partnership with Gulf Cooperation Council (GCC), in order to strengthen the capacity of GCC and its member states to collect, harmonize and disseminate official statistics that can support evidenced based policy related to agriculture and food security initiatives at national and regional levels."
Action Plan of the Global Strategy for Improving Agricultural and Rural Stati...FAO
http://www.fao.org/economic/ess/ess-events/afcas/afcas25/en/
Action Plan of the Global Strategy for Improving Agricultural and Rural Statistics in Africa (2011-2018)
CountrySTAT REGIONAL BASIC ADMINISTRATOR TRAINING for GCC MEMBER STATESFAO
"http://www.countrystat.org
FAO will work together, in partnership with Gulf Cooperation Council (GCC), in order to strengthen the capacity of GCC and its member states to collect, harmonize and disseminate official statistics that can support evidenced based policy related to agriculture and food security initiatives at national and regional levels."
Action Plan of the Global Strategy for Improving Agricultural and Rural Stati...FAO
http://www.fao.org/economic/ess/ess-events/afcas/afcas25/en/
Action Plan of the Global Strategy for Improving Agricultural and Rural Statistics in Africa (2011-2018)
"Spatial targeting and dynamic modeling framework for supporting strategic investment decisions to scale-up agricultural technologies in Mozambique", Cindy Cox, Naomie Sakana, Jawoo Koo, and Emmy Simmons, Workshop on Transformation of Agri-food Systems and Commercialization of Smallholder Agriculture in Mozambique: Evidence, Challenges and Implications Maputo, Mozambique, December 9, 2013
Science and Technical Partnership in Africa: Technologies, Platforms and Partnerships in support of the African agricultural science agenda, Abidjan, Cote d'Ivoire, April 4&5, 2017
Improving the performance of pro-poor value chains of sheep and goats for enh...ILRI
Presented by Barbara Rischkowsky (ICARDA) at the Ethiopia Small Ruminants Value Chain Strategy and Implementation Planning Workshop, Addis Ababa, 8-9 June 2015
Follow-up actions on the recommendations and overview of FAO activities in fo...FAO
http://www.fao.org/economic/ess/ess-events/afcas/afcas25/en/
Follow-up actions on the recommendations and overview of FAO activities in food and agriculture statistics relevant to African countries since the 24th AFCAS session
A presentation by Dr. Benjamin Davis, Director, Inclusive Rural Transformation and Gender Equality Division, Food and Agriculture
Organization of the United Nations (FAO)
A presentation by Dr. John Ulimwengu, ReSAKSS Africawide Coordinator, Senior Research Fellow, Africa Region, International
Food Policy Research Institute (IFPRI)
#2021ReSAKSS - Plenary Session I – presentation by Dr. Eliane Ubalijoro, Executive Director, Sustainability in The Digital Age, Global Hub Director, Canada, Future
Earth, and Co-editor of the 2021 Annual Trends and Outlook Report (ATOR)
African countries have diversified both their exports and trade partners over the last decade, African agricultural trade still suffers from structural problems as well as exogenous shocks. Against this backdrop, the 2021 Africa Agriculture Trade Monitor (AATM) analyzes continental and regional trends in African agricultural trade flows and policies. The report finds that many African countries continue to enjoy the most success in global markets with cash crops and niche products. At the intra-African level, countries are becoming more interconnected in trade of key commodities, but there remain many potential but unexploited trade relationships. The report examines the livestock sector in detail, finding that despite its important role in Africa, the sector is concentrated in low value- added products that are informally traded. The report also examines trade integration in the Arab Maghreb Union (AMU), which remains limited due to factors including tariffs, nontariff measures, poor transport infrastructure, and weak institutions. Finally, the report discusses the implications of two major events affecting African trade in 2020 and 2021: the COVID-19 pandemic and the implementation of the African Continental Free Trade Area (AfCFTA).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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.
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.
3. I. BACKGROUND (1/2)
Technical Analytical Network is a network of technical agencies or organizations:
(Universities, Research Institutions, Financial Institutions, Government Ministries, Private Sector, Civil
Society Organizations, Group of farmers and Development Partners)
that are providing technical analytical support and capacity development to the MozSAKSS Node and
Country CAADP implementation
TAN in Mozambique was established in early 2017 with technical assistance of Regional Strategic Analysis and
Knowledge Support System (ReSAKSS: Southern Africa).
The TAN aids in identifying, analysing and responding to technical and capacity needs and gaps identified in the
process of developing, revising and implementing National Agricultural Investment Plan (NAIP).
Works hand in hand with the Ministry of Agriculture and Food Security (MASA) and the agriculture sector
at large (MIC, MITADER, MIMAIP, MOPHRI and MEF).
4. The TAN has assisted in
developing mechanisms and also provided tools to support the implementation of specific NAIP/PNISA and
PEDSA areas and the Malabo Declaration content areas.
It has provided capacity development and technical advice to the MozSAKSS Node and the Ministry of
Agriculture and Food Security (MASA) on
policies, programs and practices that can accelerate achievement of national, regional and continental
agriculture production, productivity and food security goals related to National, Malabo and CAADP.
I. BACKGROUND (2/2)
5. II. PURPOSE
To harness the required technical and strategic institutions that will provide evidence, capacity needs and
recommendations to MozSAKSS and MASA (DPCI).
The TAN also liaises with regional bodies (RECS, ReSAKSS and the regional entities) and continental bodies
(AUC and NEPAD NPCA) in order to allow the country to meet the national goals, Malabo Declaration
targets and CAADP Process targets.
Acts as an Agricultural Policy Research Platform and creates
an environment for dialogue and sharing of agricultural research findings that can serve as a basis for
evidence-based decision making, policy formulation and implementation of agricultural programs.
7. III. KEY ACHIEVEMENTS (1/3)
In 2018, with support from IFPRI/ReSAKSS and the World Bank, the TAN carried out 7 technical Studies and
disseminated these technical studies.
Table 1: Technical studies conducted by TAN in Mozambique in 2018
Technical Study Title Objective of the Study National TAN
Collaborator
Economic impacts of climate change in the agriculture
sector in Mozambique: A case study of Maize Value
Chain
Assess the economic impact of climate change on the agriculture sector in
Mozambique: A case study of Maize Value Chain
ArlindoMeque
Policy brief on the Assessment and Analysis of the Seed
Value Chain in Mozambique
Build up awareness among the police makers in Mozambique of the key
challenges underpinning the seed value chain.
Benedito Cunguara
Policy brief on the Analysis Mechanization Programme
in the Agrarian Centres in Mozambique
Build up awareness among the police makers of the key challenges
underpinning the mechanization program/ agrarian service centres in the
country.
Victorino Xavier
Policy brief on Analysis of the Challenges of the
Fertilizer Value Chain in Mozambique
Analyse current dynamic of the fertilizer value chain in Mozambique. Helder Zavale
Integrating smallholder farmers in the big agricultural
projects: A case of sugar cane value chain in the
Xinavane Company
Analyse the socio-economic impact of the out-growers scheme model in the
Xinavane sugarcane company.
DolitoLoganamio
Expenditure Analysis on the NAIP (PNISA)
implementation
Update the national agriculture expenditure in the country under the NAIP
framework
Helder Zavale
8. III. KEY ACHIEVEMENTS (2/3)
• .
In 2019 there are also six (6) studies that have been undertaken under the BR, JSR and ATOR. Four of the studies (three BR
studies and One ATOR) have been reviewed and are ready for publication
Title of technical study Objectives of studies National TAN
Collaborators
Analysis of youth empowerment through
agriculture sector in Mozambique
Analysis of youth empowerment through agriculture sector in light of
BR (Performance Category 4.1.iv of the BR and Malabo Declaration).
Ventura
Mufume
Analysis of maize production and productivity in
Mozambique (2009-2018): trends, challenges and
opportunities for improvement
Carry out a study on “Analysis of Maize production and productivity in
Mozambique (2009-2018) in light of (Performance Category 3.2iii. of the BR
and Malabo Declaration)
Custodio Amaral
The Challenges of Access to Financial Services in the
Agricultural Sector in Mozambique
To analyse the challenges engulfing agriculture sector with regards access to
finance
Joao Mutondo
BR Strengthening human and institutional capacities on
BR indicators and data compilation, analysis,
management, and M&E
To strengthen human and institutional capacities in the BR process related to
data compilation, analysis, management and reporting.
To improve the accuracy, consistency, traceability, and validation of data used
in the 2020 BR process.
Helder Zavale,
Assessment of the 2018 Biennial Review process and
report to identify areas for improving the 2020 BR
processes and data system
To identify gaps and challenges in the 2018 BR processes and report related to
data, methodologies, capacities and systems.
To improve the accuracy, consistency, traceability, and validation of data used
in the 2020 BR process.
Helder Zavale
Improving BR data quality (data compilation, validation,
revision and analysis)
To improve the accuracy, consistency, traceability, and validation of data used
in the 2020 BR process.
To support Mozambique to deliver a high quality 2020 BR Report.
Benedito Cunguara
Table 2: Technical studies conducted by TAN in Mozambique in 2019
9. In 2019, IFPRI/ReSAKSS has continued to fund MozSAKSS to conduct technical studies, and three
workshops (a dissemination workshop, a technical training and a validation workshop) of the TAN
activities
Capitalizing on the TAN, AGRA has also been instrumental in funding two (2) key methodical studies,
necessary for PNISA and PEDSA
Development partners and MASA have funded some of the key meetings required for the dissemination
of knowledge and information of the Malabo Declaration (PNISA and PEDSA).
III. KEY ACHIEVEMENTS (3/3)
10. III. CHALLENGES
1. Build partnerships with other research institutions in the country;
2. Resource mobilisation in order to conduct studies and undertake meetings at all levels;
3. Set up Analytical Network in each development corridor;
4. Conduct relevant studies/policies brief in line with BR indicators and Results areas of NAIP; and
5. Improve coordination mechanism in order to avoid unnecessarily duplications of efforts.
11. IV. THE WAY FORWARD (1/2)
1.Present research findings at Agricultural Sector Coordination Committee (CCSA) for decision-
making /JSR. The CCSA meetings are led by His Excellency the Minister of Agriculture and
Food Security (MASA) and co-chaired by the Minister of Finance.
2. Set up TAN in light of each Agricultural development corridoras defined by Strategic Plan for
Agricultural Development 2011 – 2020: Pemba –Lichinga, Nacala, Zambeze Valley, Beira,
Limpopo and Maputo).
12. 1.Audience at Analytical
Network Meeting, 15th
November 2018
2.Champions for analytical
network dinner meeting,
Maputo 18 August 2018
3. e-Atlas Team of MoSAKSS, Salvador Lampeao (in the middle) responding to questions related to e-Atlas, at the
Analytical Network Meeting on 15th November 2018
3 Meetings
Conducted
so far.
ANNEXES (1/3)
13. Audience at Agricultural Policy Research
Platform meeting, on 18th October 2018.
Mr Delfim Vilissa, MoSAKSS coordinator presenting BR
Resultat thethird Analytical Network Meeting on 15th
November 2018.
It was possible through support from the ResakSS:SA, MASA; World
Bank
ANNEXES (2/3)
14. Audience at Agricultural Policy Research
Platform meeting, on 18th October 2018.
Mr Delfim Vilissa, MoSAKSS coordinator
presenting BR Resultat thethird Analytical Network
Meeting on 15th November 2018.
It was possible through support from the ResakSS:SA, MASA; World
Bank 14
ANNEXES (3/3)