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Digital Transformation and Sustainable Development for Future Women Leaders

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Overview

18 July 2023

This two-day course will be facilitated by world renowned experts in Digital Transformation (DT) and Sustainable Development (SD) and has been designed to introduce a variety of fundamental perspectives on DT and SD to build future women leaders in public and private sectors who are able to understand and deal with future challenges. With the launch of the 2030 Agenda for SD and the 17 Sustainable Development Goals (SDGs), the path to global development needs to be more collaborative than ever. How can technology contribute and enhance SD is the main issue which will be addressed during this course. Digital technologies in particular have spread rapidly (such as the Internet, mobile phones, etc) and therefore the impact of digital technologies on SD is very important aspect of the overall success of DT initiatives. Based on the assumption that technology must be widely used and freely accessible to have an impact, knowledge systems and knowledge economy seem to open up new and varied avenues to be explored in the direction of sustainability.

In addition, future leaders and decision makers will learn effective techniques and approaches to make better choices within the context of their organisations, gather information and assess alternatives; they will also be able to make decisions and develop ways to implement those decisions to their organisation’s effective transformation. Participants will acquire comprehensive knowledge and practical experience about DT approaches in alignment with the local needs and capabilities. It is a great opportunity for participants to gain good knowledge and understanding of SD and gain background information on SDGs. The course will provide new perspectives sand some conclusions and recommendations for future leaders to explore some of the opportunities from the digital revolution and how these opportunities can be improved to better serve their goals.

Related Sustainable Development Goals
  • SDG4
  • SDG8
  • SDG9
Related Courses
  • Knowledge Management
  • Digital Transformation
  • Sustainability Masterclass
  • Leadership
  • Public Policy
  • Artificial Intelligence
  • Data Science
  • Women
Location

London, Greater London, England, United Kingdom

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Contact Us
To register/enquire about this course and all our various comprehensive list of courses and workshops, please contact us (admin@wasd.org.uk) and if you have any question and/or if you would like to request a training workshop/program not listed in our portfolio please contact our training coordinator Janet Snow at: janet.snow@wasd.org.uk.
Registration and Fees

Included in the course fee, the following learning materials will be provided:

  1. Admission to all sessions including all coffee/tea breaks and lunches.
  2. All overhead slides.
  3. Case studies (print and video).
  4. Copy of the workshop main text books, SMART KM MODEL (ISBN: 978-1-907106-60-6) and From Oil to Knowledge (ISBN: 9781783533572).
  5. Certificate of attendance from Queen Mary University of London and WASD.
What will you learn
  1. Subjects covered within the course will include introduction to SD; leadership; DT; KM; communication skills; and women empowerment.
  2. Understanding the potential of AI, KM and data science on your organisation/career in terms of productivity, engagement, loyalty and retention.
  3. Understanding the key challenges senior leaders face in leading complex organisations.
  4. Working and influencing dynamics in organisations, including effective networks development.
  5. Understand the difference between AI, machine learning and deep learning.
  6. Participants will acquire comprehensive knowledge and practical experience about AI and KM approaches in alignment with the local needs and capabilities.
  7. It is a great opportunity for participants to gain good knowledge on AI and KM and gain background information on problem solving using AI. Moreover, you will also learn about problem description, representation and solving using AI and/or KM.
  8. At the end of the course attendees should be able to acquire a comprehensive knowledge and practical experience about DT and SD in alignment with the local needs and capabilities.
  9. After competition of the course, attendees to write a report, supported by the tutor, of what they have learnt and what is particularly relevant to their employers. A focus to be one aspect of the course which has implications for the way they will improve their professional practice when they return to their employers. This will help reassure the employers of the benefits of the programme and help consolidate the understanding of the manager.
Program Structure
  1. There will be an activity or set of activities for each session. These will be designed to help you engage with the introduction to the theories explored within the workshop.
  2. Your tutor will be on hand to guide you through the workshop and will expect you to bring to bear personal experience and reflection on the topics covered.
  3. Group work will be required for participants to engage in the workshop. Such activity allows participants to embed the new knowledge within their experience through active discussion and challenge.

DAY ONE

  • Arrival Refreshment, welcome and introduction
  • Concepts you need to know and understand in the realm of digitalisation
  • FAIR principles for data management
  • Strategic alignment and DT enablers
  • Discussion and reflection

DAY TWO 

  • Arrival Refreshment and reflection on day one
  • Understanding SD and SDGs
  • How can technology and knowledge contribute and enhance SD?
  • Future leadership in practice
  • Discussion and reflection – Next steps
Target Participants
  1. The course covers materials for all levels from supervisory through to senior level.
  2. Government officials: minsters, undersecretaries, directors, etc.
  3. Private sector: CEOs, managers and directors responsible for transformation, project, programme, performance, excellence, knowledge, innovation or change management.
  4. Experienced managers who have significant futures-oriented management responsibilities, and who are interested in reflecting on their own experience and discovering new ideas.
  5. Academics including vice chancellors, deans, heads of departments, researchers and students who are interested in AI, KM and date science and in being part of an engaging educational experience that explore the challenges and opportunities that face organizations.
  6. Youth, NGOs (voluntary) and civil society groups (public).
  7. Professionals, SMEs, Start-ups and other stakeholders. Also, Entrepreneurs who are looking for establishing their own firms and SMEs.
Benefits for Employers
  1. This integrative course aims to develop a deeper understanding of the theoretical and practical aspects to DT and SD and to develop the essential skills and competencies necessary to plan, monitor and control different tasks and events.
  2. Identify key enablers and organization ecosystem that’s support effective DT for SD.
  3. Develop an understanding of the different approaches to leadership and management.
  4. This course will also complement the different management skills already developed through earlier business and management courses.
  5. Addresses the practical challenges that managers face as they seek to build, upgrade and exploit knowledge assets within their organizations
  6. Debate the importance and value of managing knowledge within your organization
  7. Align KM thinking with broader, more traditional strategic approaches
  8. Using participants’ own organizations as cases, participants will explore how and when they can establish KM initiatives in their organizations and who will be involved?
  9. Identify and examine the objectives, advantages, drawbacks, models, stages and requirements of KM framework
  10. Understand how the new KM system will allow you to capture and store knowledge through various mechanisms
  11. In addition, participants will have insight into: critical analysis; interactive and team working; creativity; and problem solving.

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