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Gender Analysis And Integration In Agriculture . 25/01/2021 To 29/01/2021 / GIS And Remote Sensing For Climate Change Impact Analysis And Adaptation Course / GIS And Remote Sensing For Climate Change Impact Analysis And Adaptation Course (2) (3) (4)
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Gender Analysis And Integration In Agriculture by FINERESULTS(m): 3:17pm On Jun 07, 2021 |
FineResults Research Services would like to invite you to take part in our upcoming workshops on Agricultural courses at our FineResults Research Services training facilities in Nairobi, Kenya or online. 23rd to 27th August 2021 Gender Analysis and Integration in Agriculture 13th to 17th September 2021 Gender Analysis and Integration in Agriculture 18th to 22nd October 2021 Gender Analysis and Integration in Agriculture Introduction In Africa, close to 70% of the population rely on agriculture as a source of their livelihoods. The sector contributes up to 23% to the GDP in most of the African countries and hence remains critical to local and regional economies. It is the basis for food security and an important source of employment, particularly for women who provide much of labor. Despite the women contribution to the sector, their participation is limited by factors including inequitable access to agricultural inputs, including family labour, high-yield crops, pesticides, and fertilizer, legal and cultural status, exclusion from alternative employment options and inheritance laws. In the spirit of achieving the aspiration of vision 2030 of leaving no one behind and particularly women, there is need to understand through gender analysis the extent to which women are included in the agricultural sector. Gender analysis provides information to integrate a gender perspective into policies, programmes and projects. To add on, conducting a gender analysis allows for the development of interventions that address gender inequalities and meet the different needs of women and men. This 5 days course will equip participants with knowledge about specific set of frameworks and methods for participants to use in order to integrate gender components into their agricultural projects and programs. Participants will also gain gender analysis skills through effective and systematic analysis of contexts and also be able to plan development from a gender equality perspective. Duration 5 days Who should attend? · Gender advisers in NGOs and UN agencies, · Development practitioners with an interest in gender mainstreaming Course objectives By the end of the training, participants will: • Understand gender mainstreaming concepts, sex-disaggregated agriculture data and indicators; • Plan and conduct gender surveys on agriculture • Record and analyse sex-disaggregated raw data; • Be capable of integrating a gender component and conducting gender analysis in agricultural projects, programmes and policies; • Be able to use evidence in the policy-making process; • Appreciate the interlinkages among SDG 5 (gender equality) and SDG 1 and 2 (ending poverty and ending hunger) and other related SDGs; • Have explored the intrinsic relationship between gender and development • Be able to integrate gender into contextual analysis, and to use gender analysis frameworks effectively • Be better equipped to integrate gender into strategic and operational planning • Have acquired methods of creating gender awareness within development practice. Course content Module 1: Mainstreaming gender in agricultural sector • Basic gender concepts • Gender roles and relations • Intersectionality • Principles and rules of gender analysis • Basics of gender analysis • Principles of gender analysis in survey research • Matrix scoring and the Sustainable Intensification Assessment Framework • Gender transformative approach • Features of gender transformative research • Participation and collaboration • Critical reflection • Intersectionality • Mixed methods Module 2: Mainstreaming gender into agriculture to achieve the 2030 Agenda (concepts of gender, gender analysis, gender mainstreaming and 2030 agenda). • Conceptual exploration of gender and development terms • Gender analysis: Tools and frameworks • Analysing gender and: (according to participant interest) • Strategic planning and gender • Operational planning and gender Module 3: Sex-disaggregated agricultural data: why are they crucial? • Gender-responsive agricultural projects assessment, monitoring and reporting. • Gender-responsive agriculture Indicators • From theory to practice: Planning and conducting agender survey). • Linking data to information: statistical foundations. • From sex-disaggregated agriculture data to evidence-based policies Module 4: Steps in carrying out gender analysis • Collecting available data. • Identifying gender differences and the underlying causes of gender inequalities. • Informing policies, programmes and projects. Gender analysis frameworks • Harvard Analytical Framework/ Gender Roles Framework, • Moser conceptual framework for gender analysis and planning • Levy conceptual framework/ web of institutionalisation, • Capacities and vulnerabilities approach (CVA) • Social relations approach • Gender analysis matrix framework • The 4R method Module 5: Analysing qualitative gender data using NVIVO Introduction to NVivo • NVivo Key terms • NVivo interface • NVivo workspace • Use of NVivo ribbons • Module 2: Project Management • NVivo Projects • Creating new projects • Merging, importing and exporting projects • Managing projects • Working with different data sources • Nodes in NVivo • Theme codes • Case nodes • Relationships nodes • Node matrices Classifications • Source classifications • Case classifications • Node classifications Coding and Analysis • Coding • Data-driven vs theory-driven coding • Analytic coding • Descriptive coding • Thematic coding • Tree coding • Thematic Analysis using NVivo • Organize, store and retrieve data • Cluster sources based on the words they contain • Text searches and word counts through word frequency queries. • Examine themes and structure in your content Memos Annotations and Links • Linked memos • Adding annotation to selected content • See also link Queries using NVivo • Queries for textual analysis • Queries for exploring coding Visualizing NVivo project • Display data in charts • Creating models and graphs to visualize connections • Tree maps and cluster analysis diagrams TRAINING CUSTOMIZATION This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org REQUIREMENTS Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops. TRAINING FEE Cost: In-person USD 800 Online USD 720 Registration August in-person/online September in-person/online October in-person/online Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to training@fineresultsresearch.org For any registration of 3 or more participants; we offer a discount of up to 10%. This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training. ACCOMMODATION Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org PAYMENT Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org CANCELLATION POLICY • All requests for cancellations must be received in writing. • Changes will become effective on the date of written confirmation being received. Visit our website for more details View Other Agricultural courses Visit our face book page Visit our linkedin page Visit our twitter account |
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