Operational Issues : Technical Session 19bUse of technology for field data ca...FAO
This document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of Computer Assisted Personal Interview (CAPI) software, describing its advantages like easier survey management and higher quality data, as well as disadvantages such as high upfront costs. Examples of CAPI products like Survey Solutions and country experiences using CAPI in Indonesia and Tanzania are presented. A table shows many countries are increasingly using technologies like CAPI, GPS, and online/phone surveys in agricultural censuses.
Belen Franch
WEBINAR
Using Satellite Imagery for Early Warning of Productivity Constraints
Organized by the Food Security Portal (FSP)
OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
Jake Campolo
WEBINAR
Using Satellite Imagery for Early Warning of Productivity Constraints
Organized by the Food Security Portal (FSP)
OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
Summer Allen
WEBINAR
Using Satellite Imagery for Early Warning of Productivity Constraints
Organized by the Food Security Portal (FSP)
OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
Data Collection Methods for Statistics on Structural Aspects of Agriculture i...ExternalEvents
This document describes data collection methods for agricultural statistics in Zambia. It discusses several surveys conducted in Zambia to collect structural data on agriculture, with a focus on the Post-Harvest Survey (PHS). The PHS uses a two-stage cluster sample to survey 13,600 agricultural households. Enumerators first list and categorize households in selected areas, then systematically sample 20 households per area for surveys. The methodology also includes preparatory activities like questionnaire revision, training, and pretesting before data collection and cleaning. The final reports are generated based on analytical tables and disseminated.
Operational Issues : Technical Session 19bUse of technology for field data ca...FAO
This document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of Computer Assisted Personal Interview (CAPI) software, describing its advantages like easier survey management and higher quality data, as well as disadvantages such as high upfront costs. Examples of CAPI products like Survey Solutions and country experiences using CAPI in Indonesia and Tanzania are presented. A table shows many countries are increasingly using technologies like CAPI, GPS, and online/phone surveys in agricultural censuses.
Belen Franch
WEBINAR
Using Satellite Imagery for Early Warning of Productivity Constraints
Organized by the Food Security Portal (FSP)
OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
Jake Campolo
WEBINAR
Using Satellite Imagery for Early Warning of Productivity Constraints
Organized by the Food Security Portal (FSP)
OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
Summer Allen
WEBINAR
Using Satellite Imagery for Early Warning of Productivity Constraints
Organized by the Food Security Portal (FSP)
OCT 31, 2019 - 11:00 AM TO 12:30 PM EDT
Data Collection Methods for Statistics on Structural Aspects of Agriculture i...ExternalEvents
This document describes data collection methods for agricultural statistics in Zambia. It discusses several surveys conducted in Zambia to collect structural data on agriculture, with a focus on the Post-Harvest Survey (PHS). The PHS uses a two-stage cluster sample to survey 13,600 agricultural households. Enumerators first list and categorize households in selected areas, then systematically sample 20 households per area for surveys. The methodology also includes preparatory activities like questionnaire revision, training, and pretesting before data collection and cleaning. The final reports are generated based on analytical tables and disseminated.
Africa RISING phase 2 monitoring and evaluation frameworkafrica-rising
Presented by Beliyou Haile, Carlo Azzarri and Apurba Shee at the Africa RISING East and Southern Africa Phase II Planning Meeting, Lilongwe, Malawi, 5-8 October 2016
The document discusses the need for a systemic view of food security that integrates data from local to global scales for early warning analysis. It outlines various factors that influence food security at local, national, regional and global levels. It then describes the FEWS NET Data Warehouse's compilation of sub-national agricultural statistics from over 165 countries, totaling over 3 million data points on area, yield and production for thousands of crops. The document explains that linking these statistical data to shapefiles that track the evolution of reporting units over time will allow for more accurate agricultural production estimates and analyses using remote sensing data.
Summary of monitoring and evaluation data requirements for Africa RISING phas...africa-rising
Presented by Beliyou Haile, Carlo Azzarri and Apurba Shee at the Africa RISING East and Southern Africa Phase II Planning Meeting, Lilongwe, Malawi, 5-8 October 2016
Cost-benefit analysis of crop trials under the Africa RISING project in Maliafrica-rising
Poster prepared by Felix Badolo, Bekele Kotu and Birhanu Zemadim for the AfrIca RISING West Africa Review and Planning Meeting, Accra, 30 March-1 April 2016
The document discusses using new technologies like satellites, drones, mobile devices, and machine learning to improve the accuracy of crop yield estimates and validation of crop cutting experiments. It outlines how various remote sensing platforms and sensors could be used to collect high-resolution plant characteristic data on factors like plant height, density, and health. Computer vision techniques on cell phone imagery could also count grains and flag disease. The data collected could help address sources of bias in traditional crop cuts and potentially generate more accurate yield estimates and loss assessments through machine learning models trained on the diverse data sources.
Presentation by Eskender Beza, João Vasco Silva, Pytrik Reidsma, Martin Herold, Lammert Kooistra, Laboratory of Geo-Information Science and Remote Sensing and Plant Production System (PPS)
Session: ICTs/Mobile Apps for Management and Use of Agricultural Data
on 7 Nov 2013
ICT4Ag, Kiali, Rwanda
Unpacking the ‘Black Box’ of Public Expenditure Statistics in Agriculture - Tewodaj Mogues, IFPRI
Presentation at MSU/IFPRI conference on “Agricultural Public Investments, Policies, and Markets for Mozambique’s Food Security and Economic Transformation”, Maputo, Mozambique, 20 November 2014
Portuguese version: http://www.slideshare.net/IFPRIDSG/tewodaj-port
Two major impact assessments were carried out during 2018.Chickpea research and development in Ethiopia, and Early maturing chickpea improved cultivars in Myanmar. The data collection template was revised to make the web forms more detailed and objective, which eventually resulted in better engagement and ownership. Currently the data for PMIs are captured on an annual basis. This could be made near real-time/more frequent to have better access and to ease the burden of year-end reporting for researchers.
This document discusses using smartphone pictures for crop insurance in India. Farmers would take regular pictures of their fields using a simple app and submit them online. Experts would use machine learning to analyze the pictures and assess damage, providing lower basis risk than satellite data alone. The approach could complement index insurance and provide agro-advisory services. An initial pilot with 750 farmers in Punjab and Haryana is testing picture quality, farmer engagement, and predicting damage from pictures. While this has potential advantages like lower costs, the main risk is moral hazard from farmers manipulating damage assessments from their photos. Further testing is needed to limit this risk.
ICRISAT Governing Board 2019 PC meeting: District Level Database for India an...ICRISAT
ICRISAT has started collating meso level database (country, state and district level) since 1980’s, covering 7 states initially, later expanded to 10 states in 1990’s. Currently under a project jointly supported by Tata Cornell Institute on Nutrition and Agriculture (TCI) and ICRISAT (Since May 2018).
This document summarizes an integrated assessment of agricultural systems conducted by the SEAMLESS project. The 3-sentence summary is:
The SEAMLESS project developed an integrated assessment methodology to analyze multi-scale agricultural systems using multiple component models. This allowed them to consistently assess economic, environmental, and social impacts of policies across global, national, regional, farm, and field scales. They applied this integrated assessment approach to analyze the impacts of trade liberalization policies under the WTO on the EU agricultural sector.
AKADEMIYA2063-CORAF Learning Event, July 6, 2021 : Overview of farming system...AKADEMIYA2063
- Farming systems in West and Central Africa face many challenges including poor soils, drought, pests and diseases, low mechanization, and climate change.
- However, there is also great potential to boost agriculture through exploiting only 10% of irrigable land, empowering the large youth population, and disseminating appropriate technologies.
- CORAF is working to advance the use of modern data collection tools and digital platforms to support agricultural research, recommendations, market access, and decision making across the region.
kibrom abay ag foresight closing workshop 2022.03.14Ahmed Ali
This Closing Workshop presents the output produced under the project. Modelling, analysis, and training activities’ results will be discussed and presentations will provide a walk-through of the spatial database, including both the modeling work that took place in the background as well as the online platform built to host the data in a user-friendly manner.
Scaling models and approaches: Experience from the Africa RISING-NAFAKA Proje...africa-rising
This document summarizes the objectives and approaches of the Africa RISING-NAFAKA Project in Tanzania. The project aims to: 1) identify and promote improved, resilient varieties of staple crops; 2) disseminate best agronomic practices; 3) protect land and water resources; 4) introduce post-harvest technologies; and 5) build community capacities. It utilizes demonstration models, lead farmers, rural agro-dealers, field days and training to disseminate technologies for rice, maize, vegetables and post-harvest handling. The project partners with government institutions, NGOs, private sector and donors to leverage resources and deepen engagement with beneficiaries and local governments.
An introduction to Africa RISING phase 2 Program-wide approachesafrica-rising
This document discusses approaches for the second phase of the Africa RISING program to maximize synergies and impact across projects. It outlines plans to establish common indicator frameworks, typologies for tailoring research, program-wide analyses, communities of practice for experts, coordinated capacity development strategies, and improved communication to enhance scaling and knowledge sharing. The goal is to better harmonize approaches while allowing for regional differences through increased collaboration.
Africa RISING phase 2 monitoring and evaluation frameworkafrica-rising
Presented by Beliyou Haile, Carlo Azzarri and Apurba Shee at the Africa RISING East and Southern Africa Phase II Planning Meeting, Lilongwe, Malawi, 5-8 October 2016
The document discusses the need for a systemic view of food security that integrates data from local to global scales for early warning analysis. It outlines various factors that influence food security at local, national, regional and global levels. It then describes the FEWS NET Data Warehouse's compilation of sub-national agricultural statistics from over 165 countries, totaling over 3 million data points on area, yield and production for thousands of crops. The document explains that linking these statistical data to shapefiles that track the evolution of reporting units over time will allow for more accurate agricultural production estimates and analyses using remote sensing data.
Summary of monitoring and evaluation data requirements for Africa RISING phas...africa-rising
Presented by Beliyou Haile, Carlo Azzarri and Apurba Shee at the Africa RISING East and Southern Africa Phase II Planning Meeting, Lilongwe, Malawi, 5-8 October 2016
Cost-benefit analysis of crop trials under the Africa RISING project in Maliafrica-rising
Poster prepared by Felix Badolo, Bekele Kotu and Birhanu Zemadim for the AfrIca RISING West Africa Review and Planning Meeting, Accra, 30 March-1 April 2016
The document discusses using new technologies like satellites, drones, mobile devices, and machine learning to improve the accuracy of crop yield estimates and validation of crop cutting experiments. It outlines how various remote sensing platforms and sensors could be used to collect high-resolution plant characteristic data on factors like plant height, density, and health. Computer vision techniques on cell phone imagery could also count grains and flag disease. The data collected could help address sources of bias in traditional crop cuts and potentially generate more accurate yield estimates and loss assessments through machine learning models trained on the diverse data sources.
Presentation by Eskender Beza, João Vasco Silva, Pytrik Reidsma, Martin Herold, Lammert Kooistra, Laboratory of Geo-Information Science and Remote Sensing and Plant Production System (PPS)
Session: ICTs/Mobile Apps for Management and Use of Agricultural Data
on 7 Nov 2013
ICT4Ag, Kiali, Rwanda
Unpacking the ‘Black Box’ of Public Expenditure Statistics in Agriculture - Tewodaj Mogues, IFPRI
Presentation at MSU/IFPRI conference on “Agricultural Public Investments, Policies, and Markets for Mozambique’s Food Security and Economic Transformation”, Maputo, Mozambique, 20 November 2014
Portuguese version: http://www.slideshare.net/IFPRIDSG/tewodaj-port
Two major impact assessments were carried out during 2018.Chickpea research and development in Ethiopia, and Early maturing chickpea improved cultivars in Myanmar. The data collection template was revised to make the web forms more detailed and objective, which eventually resulted in better engagement and ownership. Currently the data for PMIs are captured on an annual basis. This could be made near real-time/more frequent to have better access and to ease the burden of year-end reporting for researchers.
This document discusses using smartphone pictures for crop insurance in India. Farmers would take regular pictures of their fields using a simple app and submit them online. Experts would use machine learning to analyze the pictures and assess damage, providing lower basis risk than satellite data alone. The approach could complement index insurance and provide agro-advisory services. An initial pilot with 750 farmers in Punjab and Haryana is testing picture quality, farmer engagement, and predicting damage from pictures. While this has potential advantages like lower costs, the main risk is moral hazard from farmers manipulating damage assessments from their photos. Further testing is needed to limit this risk.
ICRISAT Governing Board 2019 PC meeting: District Level Database for India an...ICRISAT
ICRISAT has started collating meso level database (country, state and district level) since 1980’s, covering 7 states initially, later expanded to 10 states in 1990’s. Currently under a project jointly supported by Tata Cornell Institute on Nutrition and Agriculture (TCI) and ICRISAT (Since May 2018).
This document summarizes an integrated assessment of agricultural systems conducted by the SEAMLESS project. The 3-sentence summary is:
The SEAMLESS project developed an integrated assessment methodology to analyze multi-scale agricultural systems using multiple component models. This allowed them to consistently assess economic, environmental, and social impacts of policies across global, national, regional, farm, and field scales. They applied this integrated assessment approach to analyze the impacts of trade liberalization policies under the WTO on the EU agricultural sector.
AKADEMIYA2063-CORAF Learning Event, July 6, 2021 : Overview of farming system...AKADEMIYA2063
- Farming systems in West and Central Africa face many challenges including poor soils, drought, pests and diseases, low mechanization, and climate change.
- However, there is also great potential to boost agriculture through exploiting only 10% of irrigable land, empowering the large youth population, and disseminating appropriate technologies.
- CORAF is working to advance the use of modern data collection tools and digital platforms to support agricultural research, recommendations, market access, and decision making across the region.
kibrom abay ag foresight closing workshop 2022.03.14Ahmed Ali
This Closing Workshop presents the output produced under the project. Modelling, analysis, and training activities’ results will be discussed and presentations will provide a walk-through of the spatial database, including both the modeling work that took place in the background as well as the online platform built to host the data in a user-friendly manner.
Scaling models and approaches: Experience from the Africa RISING-NAFAKA Proje...africa-rising
This document summarizes the objectives and approaches of the Africa RISING-NAFAKA Project in Tanzania. The project aims to: 1) identify and promote improved, resilient varieties of staple crops; 2) disseminate best agronomic practices; 3) protect land and water resources; 4) introduce post-harvest technologies; and 5) build community capacities. It utilizes demonstration models, lead farmers, rural agro-dealers, field days and training to disseminate technologies for rice, maize, vegetables and post-harvest handling. The project partners with government institutions, NGOs, private sector and donors to leverage resources and deepen engagement with beneficiaries and local governments.
An introduction to Africa RISING phase 2 Program-wide approachesafrica-rising
This document discusses approaches for the second phase of the Africa RISING program to maximize synergies and impact across projects. It outlines plans to establish common indicator frameworks, typologies for tailoring research, program-wide analyses, communities of practice for experts, coordinated capacity development strategies, and improved communication to enhance scaling and knowledge sharing. The goal is to better harmonize approaches while allowing for regional differences through increased collaboration.
Public-Private Partnerships (PPP) to promote legume value chains and to benef...africa-rising
Presented by Endalkachew Wolde-meskel, Tamiru Amanu, Birhan Abdulkadir and Edward Baars at the Africa RISING Science for Impact Workshop, Dar es Salaam, 17-19 January 2017
Africa RISING in the Ethiopian highlands: Some phase I achievementsafrica-rising
This document summarizes achievements from Phase I of the Africa RISING project in the Ethiopian highlands. It reports that the project achieved: (1) wheat yields up to 9.4 tons/hectare and faba bean yields up to 6 tons/hectare, (2) improved potato varieties with higher yields, earlier maturity, and blight tolerance, and (3) increased forage crop yields filling feed gaps for livestock. It also discusses improved water management, reduced soil loss, fine-tuned fertilizer recommendations, income diversification through fruit trees, capacity building activities, scaling of validated technologies, and partnerships involved in the project.
Reaching farmers with weed management technologies: Scaling approaches that workafrica-rising
The document discusses the Cassava Weed Management Project which aims to scale weed management technologies to farmers through various approaches. It seeks to reach 125,000 farmers through on-farm demonstrations conducted by extension agents and spray service providers. The project trains spray service providers who can each reach 50 farmers per season, allowing the project to potentially impact 50,000 farmers. It works with various partners and utilizes strategies such as social media, farmer field days, and partnerships with local governments to disseminate best practices for managing weeds, a major constraint to cassava productivity.
Crop varieties research and implications on closing yield gaps and diversifyi...africa-rising
Presented by Kalpana Sharma, Frédéric Baudron, Yetsedaw Aynewa, Seid Ahmed Kemal, Asheber Kifle, Meresiet Hailu and Shawkat Begum at the Workshop and Exhibition on Promoting Productivity and Market Access Technologies and Approaches to Improve Farm Income and Livelihoods in Ethiopia: Lessons from Action Research Projects, ILRI, Addis Ababa, 8-9 December 2016
Integrated landscape management: Africa RISING R4D experiences in the Ethiopi...africa-rising
Presented by Lulseged Tamene, Tesfaye Yaekob, James Ellison, Kindu Mekonnen, Kifle Woldearegay, Zenebe Adimassu, Temesgen Alene, Workneh Dubale, Mohammed Ibrahim, Biyensa Gurmessa, Girma Kassie and Peter Thorne at the Workshop and Exhibition on Promoting Productivity and Market Access Technologies and Approaches to Improve Farm Income and Livelihoods in Ethiopia: Lessons from Action Research Projects, ILRI, Addis Ababa, 8-9 December 2016
Mean water balance dynamics and smallholder management options for improved a...africa-rising
Poster prepared by F. Kizito, E. Salifu, W. Agyare and Cofie, O for the Africa RISING West Africa Review and Planning Meeting, Accra, 1-2 February 2017
Presented by A. Larbi, M. Bekunda, I. Hoeschle-Zeledon, K. Bekele, G. Fischer, P. Thorne, K. Mekonnen, C. Azzarri and J. Groot at the Africa RISING Humidtropics Systems Research Marketplace, Ibadan, Nigeria, 15-17 November 2016
Sustainable intensification tradeoff and synergiesafrica-rising
This document discusses sustainable intensification in African agriculture. It notes that increasing production sustainably involves complex tradeoffs across social, economic, environmental, and other domains. The document proposes a framework for assessing these tradeoffs using indicators at different scales. Key tradeoffs mentioned include balancing short-term production against long-term sustainability, and reconciling competing needs around issues like land and resource use between different groups. The framework is intended to help identify tradeoffs, evaluate technologies, and monitor community impacts over time to support more sustainable agricultural intensification in Africa.
The Standing Panel on Impact Assessment (SPIA) oversees impact assessment activities in the CGIAR. It has a small staff and budget, conducting most work through competitive calls and engaging external experts. Current activities include collecting adoption data for new crop varieties, testing innovative methods like drones and phone surveys, validating claims of policy impact, and funding studies of impacts from widely-adopted technologies. Several activities aim to fill data gaps or strengthen methods. Interim reports in 2016 will inform the CRP proposals, with a full synthesis in late 2017.
Monitoring, Evaluation, and Data Managementafrica-rising
Presented by Beliyou Haile and Carlo Azzarri, IFPRI, at the Africa RISING Ethiopian Highlands Project Review and Planning Meeting, Addis Ababa, 21–22 May 2019. Nairobi, Kenya: ILRI.
Dissemination of new agricultural technologies in africa making extension workWorld Agroforestry (ICRAF)
This document summarizes a research project that aims to evaluate the impacts of a farmer trainer program providing agricultural extension services to dairy farmers in Uganda. The project will use a randomized controlled trial to compare outcomes for farmers receiving the extension services to a control group. It will also test variations of the original program, such as providing incentives to farmer trainers or customizing the content, to understand what improves effectiveness. The results are intended to provide evidence on the impacts of different extension approaches and inform extension policies more broadly.
This document provides an update on the Standing Panel on Impact Assessment (SPIA) and its plans going forward. It summarizes the results of the first phase of the Strengthening Impact Assessment in the CGIAR program, which included 40 projects across various institutions. It outlines SPIA's conference in July 2017 and priorities for the second phase, which will focus on filling data gaps, conducting impact evaluations, and strengthening capacity for impact assessment within the CGIAR.
This document discusses developing and strengthening monitoring and evaluation (M&E) systems for national tuberculosis (TB) programs. It identifies key elements of an effective M&E system and outlines five steps to strengthen implementation: 1) assessing current M&E practices, 2) developing an M&E plan, 3) establishing an M&E unit, 4) implementing the M&E plan, and 5) managing quality control. The document provides guidance on conducting a situation analysis, developing indicators and data collection methods, building M&E capacity, and ensuring quality monitoring and use of data.
The document summarizes the vision, work, and themes of the Decision and Policy Analysis Program. The program uses spatial, economic, and institutional analysis to convert data into policy insights. It has teams working on impact assessment, ecosystem services, climate change impacts on agriculture, and ensuring equitable supply chains. Key work includes assessing impacts of research, identifying adaptation pathways to climate change, and providing guidelines for managing ecosystem services and markets.
The Africa RISING project in Ethiopia's highlands had the goals of improving food security, gender equality, nutrition, income, and capacity building through sustainable intensification research from 2012-2022. It worked in four regions, implementing tested interventions like improved crops, fertilizers, and mechanization. Over 360,000 households directly benefited from validated technologies in phase two, while over 30,000 people participated in training. The project supported graduate students, published research, and faced challenges like COVID-19 and funding issues before planning its exit strategies.
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
Introducing the sustainable intensification assessment frameworkafrica-rising
Presented by Mark Musumba, Philip Grabowski, Cheryl Palm and Sieglinde Snapp at the Africa RISING West Africa Review and Planning Meeting, Accra, 1-2 February 2017
IBTCI conducts remote third-party monitoring and evaluation of development and humanitarian assistance projects in fragile and conflict-affected states in Africa and the Middle East. They monitor output, activities, infrastructure, financial risks, and food distribution. IBTCI uses cutting-edge technology and data collection methods like surveys, interviews, and observations to collect and cross-check data from multiple sources. They analyze the data and assign "flags" to issues of concern to identify for USAID. IBTCI aims to standardize their methodology while building trust with partners and ensuring high-quality, reliable data collection even in challenging environments.
Healthdisisyon: Development and Assessment of Barangay Health Unit Decision S...CatleenMadayag
Barangay officials are responsible for the barangay-related decision-making process. The secretary
handles the data to be used by the officials. The Secretary is the person who assists the civil registrar in
recording in his jurisdiction the births, deaths, diseases, and marriages that occur. For this purpose, in
terms of births, deaths, and illnesses, the barangay secretary in the Philippines is an individual assigned
to compile and manage the barangay records. It is laborious to consolidate, manage, evaluate, and retrieve
information, especially in producing efficient information and decision processing, using the current
method of encoding data to excel. For this purpose, the researchers design and develop a Networked
Decision Support System Application to help barangay monitor the Natality, Mortality, and Morbidity rates
in the Barangay for efficient information and decision processing and to define the system's acceptability
to the end-user in terms of functionality, usability, and performance. The data will be automatically
analyzed via tabular, graphical, and geographical formats using the device. Natality, mortality, and
morbidity rates are easily consolidated by the system and computed. The information is now organized and
the records of the different rates are stored in the system's database. The developed DSS for the Barangay
Health Unit correctly fulfills functional requirements for features such as the management of the Barangay
residents' profile, the mapping of geographical information, the statistical report using tabular and
graphical data, and report presentation. The system was evaluated jointly with the residents by the
barangay officials/staff like the secretary. The overall result of the system evaluation using ISO 25010
Software Quality Standard the criteria Functionality, Usability, and Performance statistically implies that
the system was completely functional, efficient and usable, and fulfilled the requirements of the users.
The document provides a summary of progress for the Strengthening Impact Assessment in the CGIAR (SIAC) program. Key points:
- SIAC is a 4-year $12 million program led by SPIA to broaden impact assessment of CGIAR research through developing new methods and data collection.
- The program's objectives are to develop innovative methods for data collection, institutionalize diffusion data collection, assess full impacts of CGIAR research, and support communities of practice for impact assessment.
- Activities under Objective 1 include pilot testing methods for tracking adoption of improved varieties and technologies in crops like cassava, maize, and beans in countries like Ghana, Uganda, and Zambia. Results show
Presentation by Philippe Ellul, Senior Science Officer, Consortium/System Office on the monitoring, evaluation, and impact assessment framework in CGIAR and the role of monitoring and reporting
This document outlines the monitoring and evaluation framework for the Dryland Systems CRP's implementation of its gender strategy. It includes timelines for establishing monitoring systems and targets in 2014, reporting requirements and indicators to track outputs, outcomes and impacts related to gender. Key activities are mapped to the CRP's Integrated Development Outcome on gender equity to monitor budget allocations and progress.
This document summarizes the results of the priority assessment conducted by the Root and Tuber Crops Program (RTB) in 2014. Key outputs included an expert survey identifying constraints, selection of 31 research options across 5 crops, and economic analysis finding all options had positive net present values. Lessons included the need for cross-calibration and expanding impact modeling. Next steps include finalizing reports, communication, and integrated ex post impact assessment studies linking to priority assessment data. Discussion focused on stakeholder engagement, using outputs like crop maps, and linking priority assessment to RTB's impact pathways and business cases.
The document discusses integrating climate change adaptation and mitigation strategies for agriculture and food security. It proposes three objectives: 1) Linking knowledge with action, 2) Using data and tools for analysis and planning, and 3) Refining frameworks for policy analysis. Specific strategies include developing regional scenarios, conducting vulnerability assessments, creating integrated assessment tools, and analyzing impacts on producers, consumers, and resources under different policy options. The ultimate goals are to effectively engage stakeholders, communicate policy effects, and build capacity for decision-making informed by science.
Similar to Monitoring and evaluation of Africa RISING: Results and achievements from Phase I (20)
Africa RISING project implementation and contribution in Ethiopia. Presented at Africa RISING close-out event.
24-25 January 2023
ILRI campus- Addis Ababa, Ethiopia
The document summarizes a field visit by Africa RISING CGIAR partners to sites in Ethiopia where they are implementing their new SI-MFS initiative. It describes some innovative farmers in the Lemo and Doyogena districts who have adopted integrated crop-livestock-NRM practices promoted by Africa RISING, including using protein-rich legume fodder trees, energy-rich grasses, and soil and water conservation practices. It also highlights the challenges of water shortage and disease, and the potential for the new SI-MFS initiative to build on the success stories and learning from Africa RISING farmers.
This document summarizes planned and ongoing agricultural research activities and studies in the Ethiopian highlands for 2022. It discusses field activities related to livestock feed and forage development as well as crop varietal selection. It also outlines planned, ongoing, and completed studies on topics like gender and scaling assessments. The document notes legacy products to be developed and capacity building efforts. It describes plans to broadcast livestock innovations through local radio and concludes with noting the planned closure of the Africa Research project in Ethiopia in early 2023.
Haimanot Seifu provided a communications update on the Africa RISING program in the Ethiopian Highlands. Key activities before the program ends this year include producing extension manuals, policy briefs, a special journal issue, and a photo book. Surveys are also ongoing regarding gender, monitoring impacts, spillover effects, and scaling. Africa RISING is partnering with AICCRA on workshops, surveys, training modules, and broadcasting feed and forage technologies on local radio stations. A new initiative called SI-MFS involving mixed farming systems in 6 countries was also launched in May to run initially for 3 years from 2022-2024. Support is needed from CKM for legacy products, facilitating
Technique de compostage des tiges de cotonnier au Mali-Sudafrica-rising
Poster prepared by Moumini Guindo, Bouba Traoré, Birhanu Zemadim Birhanu, and Alou Coulibaly for the 13th Symposium of the Malian Society of Applied Sciences (MSAS), 01 July – 05 August 2022.
Flux des nutriments (N, P, K) des resources organiques dans les exploitations...africa-rising
Poster prepared by Moumini Guindo, Bouba Traoré, Birhanu Zemadim Birhanu, and Alou Coulibaly for the 13th Symposium of the Malian Society of Applied Sciences (MSAS), 01 July 1 – 05 August 2022.
Eliciting willingness to pay for quality maize and beans: Evidence from exper...africa-rising
Poster prepared by Julius Manda, Adane Tufa, Christopher Mutungi, Arega Alene, Victor Manyong and Tahirou Abdoulaye for the IITA Social Science Group Virtual Meeting, 7 December 2021.
The woman has no right to sell livestock: The role of gender norms in Norther...africa-rising
Presented by Kipo Jimah and Gundula Fischer (IITA) at the virtual conference on Cultivating Equality: Advancing Gender Research in Agriculture and Food Systems, 12-15 October 2021
This document summarizes two assessments conducted by Africa RISING on sustainable intensification and return on investment from 2011-2020. It finds that:
1) The total value of direct benefits to farmers was $74.6 million, while the total project cost was $15.9 million, resulting in a return on investment of 469%.
2) An assessment of progress towards sustainable intensification analyzed households by total production per hectare and compared indicators across five domains. It found that more intensified households showed improved scores in agricultural production, economics, environment, human welfare, and social indicators.
3) A focus on assessments at the woreda (district) level provided insights into differences between communities and guidance for
The document summarizes the results of a nutrition assessment study and lessons learned from it. The study aimed to identify how Africa RISING interventions contributed to household nutrition. It used a qualitative research approach with key informant interviews and focus group discussions in Ethiopia. The results showed that the interventions helped to produce and consume a more diverse and nutritious diet, generate income, and improve knowledge of food production and preparation. However, diet diversity remained low and certain nutrient-rich foods were still limited. Key lessons were that technical nutrition support needs frequent follow-ups, and engaging community leaders and husbands is important for influencing mothers' nutrition practices.
The document discusses plans for scaling assessment of Africa RISING interventions. It notes that Africa RISING's second phase focused on scaling approaches through recruiting scaling partners, training of trainers, multi-stakeholder meetings, and research backstopping. The assessment aims to document scaling practices, identify areas for increased support, and develop an exit strategy as the program period concludes. It will use ILRI's scaling framework over six months to provide a technical report and scientific paper.
This document summarizes a presentation on conducting on-farm trials at scale using crowdsourcing. It discusses the benefits and challenges of traditional on-farm trials, and proposes a solution using digital platforms and farmer participation. Farmers would receive random combinations of varieties to test on their own farms and provide rankings. Data would be collected and analyzed to provide feedback to farmers. The approach aims to increase representation while reducing costs compared to traditional on-farm trials. It outlines 10 steps for implementation, including defining varieties, designing projects, recruiting farmers, preparing packages, data collection, analysis and discussion.
Contribution of Africa RISING validated technologies, nutrition-education interventions to household nutrition and participatory nutrition-education need assessment with seasonal food availability in Amhara, Oromia and SNNP regions of Ethiopia
The Africa RISING Project in Ethiopia introduced climate-smart agricultural technologies to smallholder farmers vulnerable to climate change. Over 0.33 million households adopted improved crop varieties, livestock feed, land restoration, water management, and mechanization. Crop yields increased significantly, reaching up to 9.4 tons/hectare for wheat. Postharvest practices reduced feed waste by over 30%. The project built the capacity of over 23,000 farmers and empowered cooperatives to disseminate seeds and technologies. An economic impact assessment projected benefits from technology adoption from 2013 to 2025.
Africa RISING in Ethiopia organized a farmer’s field day event on 24 December 2020, in Bale, Oromia Region. The field day aimed to create awareness, measure the progress and get feedback on the ongoing food and forage crops technologies. Animal feed seed multiplication on farmers training centers as well as wheat clustered seed multiplication on seed producer's cooperative were included on the visit.
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
PPT on Alternate Wetting and Drying presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDSSérgio Sacani
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...Travis Hills MN
By harnessing the power of High Flux Vacuum Membrane Distillation, Travis Hills from MN envisions a future where clean and safe drinking water is accessible to all, regardless of geographical location or economic status.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
Monitoring and evaluation of Africa RISING: Results and achievements from Phase I
1. Monitoring and evaluation of Africa
RISING: Results and achievements from
Phase I
Carlo Azzarri, IFPRI
Africa RISING Science for Impact Workshop
17-19 January 2017, Dar es Salaam, Tanzania
2. Main Phase I achievements/1
Site characterization and stratification
Project Mapping and Monitoring Tool (PMMT)
Mapping and data entry application
Several rounds of updates, based on feedback received
during two rounds of in-country trainings (70+ researchers)
Three rounds of FtF data reporting using the PMMT
Demo later
Data management
Program-level data management plan
Data management using ILRI’s Comprehensive Knowledge
Archive Network (CKAN), demo later
3. Main Phase I achievements/2
Africa RISING Baseline Evaluation Surveys (ARBES)
Quasi-experimental design
Five countries; 4,510 hhs; 81 program and 76 control
villages
ARBES survey reports (comparable snapshots of farming
systems/livelihoods)
ARBES-based household typologies
Policy briefs
Data shared widely (inside and outside AR)
4. ARBES-based ongoing research studies
MWI: Targeting, bias, and expected impact
MWI and GHA: Link between production diversity and
dietary diversity
MWI: Economic, risk, and labor effects of different
legume and fertilizer practices
TZA: Correlates of technology adoption, willingness to pay
for improved technologies
Phase II targeting exercise
Main Phase I achievements/3
5. Lack of clarity on IFPRI’s role and data responsibility
→IFPRI’s SoW and monitoring data requirement guide
Staffing challenge → 3 locally hired M&E
coordinators/data managers (one per project)
Timing and scale of evaluation surveys
Reduced scope, better planning (with local M&E
coordinators and researchers)
Cataloguing of beneficiaries and innovations, plus
interoperability
Direct beneficiaries→ BTTT with unique IDs
Templates for monitoring beneficiaries at scale
Lessons from Phase I/1
6. Inform impact → Higher emphasis on evaluation
analysis (both ex-ante and ex-post)
Lack of SI metrics → Initiating the efforts on SI
indicators framework in AR (now with SIIL)
Compliance with program-level data management
→ binding contracts
Communication → improve the coordination with
comms. to keep abreast AR colleagues about
monitoring activities and research findings
Lessons from Phase I/2
8. M&E data guide and tools: guide for monitoring data
needs (type, frequency, responsibilities, etc.)
Data on inputs, outputs
SI indicators: to be guided by MSU/U of Florida’s
sustainable intensification indicators framework
(SIIF)
Updates to the PMMT: new villages and indicators;
FtF indicators data aggregation, SI indicators?
AR data management: Ongoing discussions about
ILRI’s CKAN versus Harvard’s Dataverse
Main activities for Phase II: Monitoring
9. Cataloguing of AR beneficiary households and
innovations:
Beneficiary and Technology Tracking Tool (BTTT):
Offline spreadsheet-based tool with unique ID
for direct beneficiary households (demo later)
To be provided in Open Data Kit (ODK) format
Additional monitoring tools
Scaling and exposed farmers (spreadsheet and
ODK)
(Refresher) trainings: PMMT, CKAN, BTTT,...
Main activities for Phase II: Monitoring (Cont.)
10. Characterization: AR households, farming systems,
typologies, livelihoods
Comparative analysis: returns and risks of AR
technologies
Assessing (farm-level) trade-offs
Organic versus inorganic fertilizers
Along the SI dimensions
Follow-up household and community evaluation
surveys
Main activities for Phase II: Evaluation
11. Ex-ante evaluation
Integrated crop and bio-economic modelling: APSIM
(with ICRISAT), DAHBSIM (with IAMM)
DSSAT crop simulation modelling (ppt later)
Ex-post evaluations:
Quasi-experimental evaluation design; cross-
sectional and panel data analysis
Agro-economic impact of specific SI innovations
Technology adoption
Livelihoods analysis
Main activities for Phase II: Evaluation (Cont.)
12. Technology diffusion and scale-up
Based on primary micro data from AR, nationally-
representative micro data, and biophysical data
Targeted case studies and impact evaluations:
Willingness to pay for improved technologies
Role of risk rationing and access to credit in
technology adoption
Linkage b/n agriculture, nutrition, and gender
Main activities for Phase II: Evaluation (Cont.)
13. Decentralized monitoring
Stronger presence in the field with 3 data managers
BTTT set-up and monitoring
Continued supervision of PMMT, CKAN, other tools
M&E data guide and tools
(Refresher) training for PMMT, CKAN, BTTT, other tools
Follow-up surveys
Ex-ante and ex-post evaluations
Targeted case studies and collaboration on impact
evaluations ongoing
Conclusions
16. Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.
Thank You