Dubai Future Experts Program honours graduates
His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Chairman of Dubai Executive Council and Chairman of the Dubai Future Foundation (DFF) Board of Trustees, honoured 26 graduates from the first and second cohorts of the Dubai Future Experts Programme. The graduates included staff from 17 government agencies.
The programme, jointly launched by the Dubai Executive Council and DFF, aims to train local professionals and provide them with the skills and experience to develop future-oriented initiatives within Dubai’s government agencies.
The graduation ceremony was attended by His Excellency Mohammad Abdullah Al Gergawi, Minister for Cabinet Affairs, Deputy Chairman of the Board of Trustees and Managing Director of DFF; His Excellency Abdullah Mohammed Al Basti, Secretary General of Dubai Executive Council; and His Excellency Khalfan Jumaa Belhoul, Director General of DFF.
His Highness said: “We are extremely proud of our country’s talented professionals and look forward to seeing the new graduates use the experience and knowledge gained during the programme to further enhance professionalism in the public sector. I am confident that they will make a valuable contribution to our efforts to create a better future for our nation in line with the vision and guidance of His Highness Sheikh Mohammed Bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai.”
During the ceremony, the graduates briefed Sheikh Hamdan on a number of projects, future scenarios and guidelines that they had developed.
His Highness Sheikh Hamdan reviewed research projects and reports prepared by the graduates covering various topics including the productive city, resilience in emergencies and crises, digital transformation, government empowerment, community cohesion and the future of legislation. Graduates have also prepared a range of future scenarios to increase preparedness for change over the next 50 years.
The Dubai Future Experts programme consists of two modules, each lasting six months. Participants can progress from being a ‘Future Analyst’ to a ‘Future Practitioner’. The first programme of its kind, it is run by the Dubai Future Academy, a DFF initiative. It aims to develop future-oriented thinking in government and build a pool of certified Emirati futurists who can help shape the future of key strategic sectors in Dubai. The modules and content of the programme have been developed by leading national and global futures experts, academics, entrepreneurs and business executives.
The first level comprises five modules in an intensive programme that includes lectures, workshops and practical exercises on exponential foresight, scenario planning, super-forecasting, future integration and delivery, and visualisation of the future. Participants at the advanced level are engaged in the development of future research projects that enhance the role of their government agencies in implementing future-related strategies and projects.
The programme aims to develop skills such as horizon scanning, scenario planning, super-forecasting, strategic thinking and research skills. It also develops abilities in decision-making, policy-making, legislation, regulation and identifying opportunities to create new economic sectors.
The third cohort of the programme is scheduled to start at the end of September 2022. More than 800 applications have been submitted by senior and mid-level employees from 37 government agencies in Dubai, covering more than 20 different vital sectors, including logistics, economy, technology, healthcare, education, tourism, aviation and others.
Since its launch, the Dubai Future Experts Programme has graduated 37 employees from 28 government agencies. These graduates have completed 182 training hours under the supervision of 24 international experts. They have managed to produce 24 research reports using strategic foresight tools and developed 128 future scenarios in various sectors, taking into account the most important challenges and expected transformations.
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