Certificate Programme in Gendered Tech Policy Analysis

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The Certificate Programme in Gendered Tech Policy Analysis is a comprehensive course designed to equip learners with the essential skills to analyze tech policies from a gendered perspective. This program is increasingly important in today's digital age, where technology and policy intersect, and there is a growing demand for professionals who can bridge the gap between the two.

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About this course

This course will provide learners with a deep understanding of the gendered implications of technology policies and how they affect different genders in various ways. Through this program, learners will gain practical skills in policy analysis, research, and advocacy, making them highly valuable in industries such as tech, government, and non-profit organizations. By the end of this course, learners will be able to critically evaluate tech policies and make informed recommendations for change. This certificate program is an excellent opportunity for professionals looking to advance their careers and make a meaningful impact on gendered tech policies.

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Course details

• Gender and Technology: An Overview
• Historical Perspectives on Gendered Tech Policies
• Current Trends in Gendered Tech Policy Analysis
• Key Concepts in Gender Studies and Their Relevance to Tech Policy
• Intersectionality and Tech Policy: Understanding the Interplay of Gender, Race, Class, and Other Social Identities
• Evaluating Tech Policies Through a Gender Lens
• Addressing Gender Bias in AI and Machine Learning
• Strategies for Advocating for Gender-Inclusive Tech Policies
• Case Studies in Gendered Tech Policy Analysis
• Future Directions in Gendered Tech Policy Research

Career path

The Certificate Programme in Gendered Tech Policy Analysis focuses on the job market trends, salary ranges, and skill demand in the UK for tech roles, emphasizing the gender perspective. This 3D pie chart highlights the percentage of five prominent tech roles in the UK job market, illustrating the industry's needs and opportunities. 1. Data Scientist: 25% 2. Software Engineer: 30% 3. DevOps Engineer: 15% 4. Product Manager: 20% 5. Cybersecurity Analyst: 10% The chart displays each role with a transparent background and no added background color, ensuring that the focus remains on the data. Additionally, the responsive design allows the chart to adapt to any screen size, making it easily accessible on various devices. Embedded in the HTML code, the Google Charts library is loaded with the correct URL, and the JavaScript code defines the chart data, options, and rendering logic within a