A Gender Transformative Approach: Why what and how?CGIAR
This presentation was given by Cynthia McDougall (WorldFish Center), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
The session presents gender analysis tools that can be used during project design, implementation and evaluation. The gender analysis tools will help to make the development intervention gender sensitive, so that the benefits of project reach both women and men.
A Gender Transformative Approach: Why what and how?CGIAR
This presentation was given by Cynthia McDougall (WorldFish Center), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
The session presents gender analysis tools that can be used during project design, implementation and evaluation. The gender analysis tools will help to make the development intervention gender sensitive, so that the benefits of project reach both women and men.
Reach, Benefit, Empower: Indicators for measuring impacts of programs and pol...IFPRI-PIM
This presentation was given by Agnes Quinsumbing (IFPRI), as part of the Annual Scientific Conference hosted by the CGIAR Collaborative Platform for Gender Research. The event took place on 5-6 December 2017 in Amsterdam, the Netherlands, where the Platform is hosted (by KIT Royal Tropical Institute).
Read more: http://gender.cgiar.org/gender_events/annual-scientific-conference-capacity-development-workshop-cgiar-collaborative-platform-gender-research/
This project has been created for EDRD*6000 Qualitative Methods- a graduate level course at the School of Environmental Design and Rural Development at the University of Guelph. Please reference the author or appropriate sources when using any of the information presented here.
Two Examples of Program Planning, Monitoring and EvaluationMEASURE Evaluation
Presented by Laili Irani, Senior Policy Analyst for the Population Reference Bureau, as part of the Measuring Success Toolkit webinar in September 2012.
This slide contains basic understanding on the concept of program evaluation. The key learning objectives include -
- Evaluation fundamentals
- Developing a logic model
- Understanding evaluation design
- Data analysis approach
Data is the key for development and gender dis-aggregated data is crucial for all gender budgeting activities. Understanding with regard to gender sensitive quantitative and qualitative indicators is a must for mainstreaming gender across sectors and for all stakeholders- private or public
Reach, Benefit, Empower: Indicators for measuring impacts of programs and pol...IFPRI-PIM
This presentation was given by Agnes Quinsumbing (IFPRI), as part of the Annual Scientific Conference hosted by the CGIAR Collaborative Platform for Gender Research. The event took place on 5-6 December 2017 in Amsterdam, the Netherlands, where the Platform is hosted (by KIT Royal Tropical Institute).
Read more: http://gender.cgiar.org/gender_events/annual-scientific-conference-capacity-development-workshop-cgiar-collaborative-platform-gender-research/
This project has been created for EDRD*6000 Qualitative Methods- a graduate level course at the School of Environmental Design and Rural Development at the University of Guelph. Please reference the author or appropriate sources when using any of the information presented here.
Two Examples of Program Planning, Monitoring and EvaluationMEASURE Evaluation
Presented by Laili Irani, Senior Policy Analyst for the Population Reference Bureau, as part of the Measuring Success Toolkit webinar in September 2012.
This slide contains basic understanding on the concept of program evaluation. The key learning objectives include -
- Evaluation fundamentals
- Developing a logic model
- Understanding evaluation design
- Data analysis approach
Data is the key for development and gender dis-aggregated data is crucial for all gender budgeting activities. Understanding with regard to gender sensitive quantitative and qualitative indicators is a must for mainstreaming gender across sectors and for all stakeholders- private or public
Seven Steps to EnGendering Evaluations of Public Health ProgramsMEASURE Evaluation
Because international development increasingly focuses on gender, evaluators need a better understanding of how to measure and incorporate gender—including its economic, social, and health dimensions—in their evaluations. This interactive training, consisting of this presentation and a tool, will help participants learn to better evaluate programs with gender components. Access the tool at https://www.measureevaluation.org/resources/publications/tl-19-40
This short-but-thorough presentation from IWMI’s Valentine J Gandhi provides a valuable introduction to the gender analysis in agricultural research. Covering the many reasons for undertaking gender-sensitive research and the tools available for the job, it also looks at the skills required in an effective gender researcher, and ways to analyze and interpret results.
Measuring capacity for gender integration in small-scale fisheries governanceCGIAR
This presentation was given by Danila Kleiber (WorldFish Center), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
Metrics is a hot topic within all fundraising fields. Measurement models have been established for monitoring the work of frontline fundraisers in order to assess the variety of activities performed as well as the schedule, pace, and outcomes of those activities. With this information in hand, choices can be made about which fundraising activities are most effective in achieving the desired donor behavior, most obviously giving.
Approaches to strengthen the capacity to integrate gender in agricultural res...ILRI
Presented by Annet A. Mulema at the EthioRice Gender Seminar: Gender and Rice Research, EIAR, Addis Ababa, 12 December 2017
Ethiopia Institute of Agricultural Research,
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Presentation by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 28–30 November 2023.
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Poster by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione presented at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 29 November 2023.
A training, certification and marketing scheme for informal dairy vendors in ...ILRI
Presentation by Silvia Alonso, Jef L. Leroy, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas and Delia Grace at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Milk safety and child nutrition impacts of the MoreMilk training, certificati...ILRI
Poster by Silvia Alonso, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas, Delia Grace and Jef L. Leroy presented at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Food safety research in low- and middle-income countriesILRI
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
Reservoirs of pathogenic Leptospira species in UgandaILRI
Presentation by Lordrick Alinaitwe, Martin Wainaina, Salome Dürr, Clovice Kankya, Velma Kivali, James Bugeza, Martin Richter, Kristina Roesel, Annie Cook and Anne Mayer-Scholl at the University of Bern Graduate School for Cellular and Biomedical Sciences Symposium, Bern, Switzerland, 29 June 2023.
Assessing meat microbiological safety and associated handling practices in bu...ILRI
Presentation by Patricia Koech, Winnie Ogutu, Linnet Ochieng, Delia Grace, George Gitao, Lily Bebora, Max Korir, Florence Mutua and Arshnee Moodley at the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Ecological factors associated with abundance and distribution of mosquito vec...ILRI
Poster by Max Korir, Joel Lutomiah and Bernard Bett presented the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsILRI
Poster by Lydiah Kisoo, Dishon M. Muloi, Walter Oguta, Daisy Ronoh, Lynn Kirwa, James Akoko, Eric Fèvre, Arshnee Moodley and Lillian Wambua presented at Tropentag 2023, Berlin, Germany, 20–22 September 2023.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
Module 4: Monitoring and documentation
1. Module 4: Monitoring and documentation
ILRI, ICARDA and Transition International
Gender Capacity Development Training, ILRI Addis, 23-27 October 2017
2. 1. Objective module 4: Monitoring and
documentation
To increase partners’ knowledge of gender responsive
monitoring and documenting in such a way that they are
able to:
– design and use gender responsive monitoring
systems and,
– produce quality knowledge documents and
publications on gender
3. Focus
focus on gender responsive monitoring and documenting and putting
gender central to monitoring systems – not at increasing general
monitoring and documentation capacities.
Development organizations: monitoring and documenting the
gendered outcomes of their development interventions;
Research organizations: monitoring and documenting the gendered
outcomes of research interventions, production of knowledge
documents and provision of gender inputs to other organizations’
publications
4. Learning questions
• What is a gender responsive monitoring system and what
does it consist of?
• How to design and use gender responsive monitoring
systems?
• How to use sex-disaggregated data in monitoring and gender
analysis?
• What are gender responsive indicators?
• How to monitor and document gender responsive
approaches?
• How to produce knowledge documents and publications on
gender?
5. Levels
Core Gender
Capacities
Environmental Organizational Individual
Gender analysis
and strategic
planning
A.I A.II A.III
Gender responsive
programming,
budgeting and
implementation
B.I B.II B.III
Knowledge
management and
gender responsive
M&E
C.I C.II C.III
Partnerships and
advocacy
D.I D.II D.III
Leadership and
transformation
E.I E.II E.III
Gender at the
workplace
F.I F.II F.III
Module 4
Focus module 4
6. Capacity Assessment outcomes for
development partners (assessment 2015)
Knowledge management and gender responsive M&E Averages Doyogena Horro Yabello
Org. Ind. Org. Ind. Org. Ind. Org. Ind.
The capacity to collect, interpret and report on sex-
disaggregated data 2.4 2.0 3.0 2.3
Existence and quality of a gender responsive M&E system
and ability to use it
1.8
2.3 2.0 1.0
Capacity to train other actors on gender responsive M&E 1.0 1.0 1.0 1.0
Access to and production of knowledge documents and
publications on gender 1.3 1.0 1.0 2.0
Capacity to provide gender inputs, perspectives, insights to
other organizations’ reports and publications
1.7 1.0 3.0 1.0
Staff’s ability to collect, interpret and report on sex-
disaggregated data 2.6 2.4 2.4 2.9
Staff’s ability to develop/work with gender sensitive
systems and tools for monitoring, evaluation and learning
and measuring changes from gender interventions
2.2 2.2 2.3 2.0
Staff’s access to and ability to produce quality documents
and publications on gender 1.9 1.9 1.9 1.8
Access to gender-sensitive M&E training of female and
male staff 2.1 2.2 2.1 1.9
Average
1.6 2.2
1.5 2.2 2.0 2.2 1.5 2.1
Note: maximum score = 5
7. Capacity Assessment outcomes for research
partners (assessment 2015)
Knowledge management and gender responsive M&E
Averages Areka Bako Yabello
Org. Ind. Org. Ind. Org. Ind. Org.
Ind
.
The capacity to collect, interpret and report on sex-
disaggregated data in all research 2.1 1.3 3.0 2.0
Existence and quality of a gender responsive M&E system
and ability to use it 1.7 2.0 2.0 1.0
The capacity to provide inputs for national policies and
legislation on gender responsive knowledge management
within VCs 1.0 1.0 1.0 1.0
The capacity to collect, develop and make accessible
quality knowledge documents and publications on gender 1.3 1.0 2.0 1.0
Capacity to provide gender inputs, perspectives, insights
to other organizations’ reports and publications 1.0 1.0 1.0 1.0
Scientists’ ability and commitment to collect, interpret
and report on sex- disaggregated data 2.2 1.4 2.5 2.6
Scientists’ ability to develop/work with gender sensitive
systems and tools for monitoring, evaluation and learning
and measuring changes from gender interventions
2.0 1.8 2.4 1.9
Scientists’ access to and ability to produce quality
documents and publications on gender 1.7 1.4 1.8 1.9
Average 1.7 2.0 1.3 1.6 1.8 2.2 1.2 2.1
Note: maximum score = 5
8. Agenda for today
1. Feedback from earlier modules;
2. Definition and scope of gender responsive monitoring;
3. Developing gender responsive indicators;
4. Practicum gender responsive monitoring;
5. The collection and use of sex-disaggregated data in
monitoring and gender analysis;
6. Develop learning questions and actions;
7. Workshop evaluation.
12. • helps to improve project performance: has the project
achieved improvements in the lives and well-being of
women and men?
• Proven impacts can be used to improve decision-making
and policies
• Know and address unintended negative consequences
and gender based constraints
• Gender responsive M&E identifies opportunities to
empower women
Why gender responsive monitoring?
13. • gender issues have to be measured on purpose and
from the start, otherwise they will not be given any
attention during the implementation of the project /
program
• Much M&E focuses on numbers and outputs and not on
quality of participation and benefits
• Data aggregated by household (and not by sex)
obscures gender differences within households
Why gender responsive monitoring?
14. Concepts: monitoring vs evaluation
Monitoring Evaluation
Continuous Periodical (mid/end term)
Analysis and checking of
progress
Assessment of impact,
effectiveness, sustainability
Often internal Often external
To improve
implementation
Assess achievement of
results
15. Concepts: gender responsive monitoring
• Assesses the project’s effects and impacts (intended or
unintended) on gender relations and women’s
empowerment.
• Tracks changes in:
– the conditions and positions of women and men participating
in the value chain,
– women's and men's shares in employment and income across
value chain nodes
– gender relations such as in the gender division of labor and
workload, differences in access and control over resources and
information, decision making, and others,
– women’s and men’s attitudes and perceptions.
• Gender responsive M&E should collect gender data and
analyze the reasons for gender differences and develop
interventions
17. Gender responsive indicators: definition
an indicator that captures gender-related changes in society, in a value
chain, etc. over time
• Does the program/project have different benefits and results for
men and women? How and why?
• Does the program/project affect changes in gender relations? How
and why?
• Requires sex-disaggregated data collection
• Measures changes in positions and not (just) numbers, Compare:
– “the number of women who joined the producer association”
and
– “percentage change in proportion of women’s membership”
• involve both women and men in developing, collecting and
analyzing indicators
18. Gender responsive indicators: examples
From LAF program’s Gender Strategy – impact level
• Change in women’s share of income from livestock and fish
enterprises
• Participation of women and other vulnerable groups in the
livestock and fish markets
• Change in assets ownership by men and women
• Change in control of livelihood assets by men and women
• Change in consumption of Animal Source Foods (ASF) by men,
women, and children
• Change in women’s control of livestock and fish resources (e.g.
decision making power)
19. Gender responsive indicators: examples
From FAO-ILRI workshop on integrating gender in livestock projects
• Access to and control over assets
• Access to and use of technologies
• Production and productivity
• Labor use in livestock production
• Contribution of livestock to cash/no cash income
• Food security
20. Group exercise
• Develop 3-4 gender responsive indicators
– for your own gender strategy
– Drawing from the Poultry example
• Present indicators using a mindmap or similar diagram
21. Relevant indicators (objectively verifiable
indicators)
Quality What What do I want to achieve and
measure
Quantity How
much
How
How much do I want to achieve?
And how to measure this?
(numbers, %, grades, levels, etc)
Target group Who Who do I want to benefit
Taking into account variables like
sex, age, and ethnicity
Time/period When When do I want to have achieved
this and for how long
Place Where Where do I want to see the result
(place, space)
22. SMART indicators
Specific They specify who, what, where, when and
how much/often
Measurable They give an indication of quantity and quality
Achievable They are achievable at an acceptable cost (cost
effectiveness relationship)
Relevant They are relevant with respect to the objective
and ToC of the intervention
Time They are achievable in the time of the
intervention
24. Sex-disaggregated data: definition
Data related to individuals that are collected, analyzed and
presented separately for men and women.
disaggregate further by:
– age
– ethnicity
– marital status
– sexual identity
– ability
– etc.
Not the same as comparing male and female-headed
households!
25. Sex-disaggregated data: collection
Sex-disaggregated data can be collected from men and
women randomly selected from different households:
Household x: 1 man
Household y: 1 woman
Or from one man and one woman within one household
Household x: 1 man and 1 woman (primary members)
Not necessarily twice as many people!
26. Sex-disaggregated data: difficulties
• men may not be willing to allow their spouses to be
interviewed
• Women may not be available at certain times of day,
and men may be less likely to be present at other times
• inconsistencies in data between men and women
(especially when the same questions are asked to men
and women)
• “joint management” could be a disguised male
dominance
• Much of women’s work is under-valued or ‘invisible’ to
men and outsiders, and thus not reported
27. Sex-disaggregated data: possible solutions
• Use both male and female enumerators;
• men and women to be interviewed separately,
simultaneously and privately;
• multiple visits to households for gaining confidence,
follow-up discussions and comparison of data;
• Choose a time and place which is convenient for
women and men (may be different)
• Starting interviews with questions on less sensitive
domains
• Compare men and women’s responses to similar
questions, and gather feedback on differences (FGDs)
• Recognize diversities (class, ethnic, religious and other)
as well as individual preferences and abilities
28. 6. Monitoring and Evaluation tools
• Women empowerment index
• Women empowerment framework
• Gender value chain analysis
37. CGIAR Research Program on Livestock
livestock.cgiar.org
The CGIAR Research Program on Livestock aims to increase the productivity and profitability of livestock agri-food
systems in sustainable ways, making meat, milk and eggs more available and affordable across the developing world.
This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
The program thanks all donors and organizations which globally support its work through their contributions to the
CGIAR system
Editor's Notes
Adapt the PPT to the context and needs. Red parts need to be filled in.
The capacity development is not aimed at increasing general monitoring and documentation capacities. It is focused on gender responsive monitoring and documenting and putting gender central to monitoring systems. Participants need to increase their knowledge of gendered M&E tools and methodologies, be exposed to publications on gender, and understand how to collect and use sex-disaggregated data.
For development organizations, the focus will be more on monitoring and documenting the gendered outcomes of their development interventions; for research organizations, on the production of knowledge documents and publications as well as the provision of gender inputs, perspectives, and insights to other organizations’ reports and publications.
Each organization or team will present the gender responsive (development or research) interventions that they have developed and tested in module 2 and/or 3. The ‘gender strategies continuum’ model can be drawn on a flip chart and used to discuss where each of the presented strategies or interventions fit into this model, to discuss again how to recognize gender accommodating versus gender transformative strategies. If organizations did not develop any intervention, they can link up with other teams, or observe and provide feedback.
Picture from IFAD 2012 ‘Gender-Sensitive Monitoring and Evaluation’ in Measuring Change: Experiences from IFAD-funded Projects in Asia, http://asia.ifad.org/web/toolkit.