|Course date: 23/11/2020 to 27/11/2020||Duration: 5 Days||Course fee: USD 800, KES 65,000|
Enroll for online offer of this course and enjoy a 10% discount!
FineResults Research Services can offer this course as a scheduled virtual class through its seasoned industry experts.
This will not only provides you with an opportunity to train from any location worldwide (including the comfort of your home) but also flexibility in course scheduling.
Course fee: USD 790 or KES 58,500 (online training); USD 800 or KES 65,000 (off-line training)
For more information, talk to us:
Phone: +254 732 776 700 / +254 759 285 295
Scientific research may not be completely objective if it is not gender sensitive. This is because gender norms affect who does the research, how research is prioritized, how the research is designed and conducted, and how data is interpreted and shared as well as the impact of the research at the community level and globally. Also, many countries have adopted Sustainable Development Goals (SDGs) that besides having a gender equality goal every other goal has a gender dimension in it. To establish the implementation of these goals, development research is led by science. Therefore, if science is gender biased then the research will not produce the right results. For research to ensure equal benefits between men and women, it is imperative to integrate gender dimensions into your research right from the proposal planning stage and throughout the entire cycle of research. This means being gender sensitive beginning from proposal development, implementation all the way to realizing the impact of research. Similarly, gender norms and gender inequality within the cultural context where scaling is taking place influence uptake of technologies. Therefore, failing to take into account gender differences in needs, preferences, roles and responsibilities, decision-making, access to and control of resources that includes (land, labor, inputs, credits and revenue), and power imbalances can limit the adoption of technologies and also lead to research providing recommendations that are not gender inclusive. Consequently, the research can result in the development of policies, legal frameworks and laws that are gender biased thereby perpetuate gender inequality. Integrating gender into scientific research will improve the quality and relevance of research, and lead to new ideas and ways of thinking about issues, and new interpretations of data. This will contribute to innovation, and will improve the outcomes of the research for both women and men, and for entire society at large.
WHO SHOULD ATTEND?
The course target researchers, students and statistics producers and users who aim to influence the process of gender statistics collection, analysis and use. This includes policymakers and staff from government agencies.
By the end of the course, learners will learn:
TOPICS TO BE COVERED
Module 1: Relationship between gender and scientific research
Module 2: Integrating gender dimensions in scientific research
Module 3: Setting your research agenda
Module 4: Study trip
Module 5: Effective research communication for influencing change
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: +254 732 776 700 or +254 759 285 295. You can also email us on: firstname.lastname@example.org
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700/+254 759 285 295 or Email: email@example.com
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: firstname.lastname@example.org
|Course Date: 23/11/2020 to 27/11/2020||Duration: 5 Days||Course fee: USD 800 , KES 65,000|