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<oembed><version>1.0</version><provider_name>FutureWORKS Asia</provider_name><provider_url>https://lirneasia.net/futureworksasia</provider_url><title>Merl Chandana - FutureWORKS Asia</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="TwK9alDRxT"&gt;&lt;a href="https://lirneasia.net/futureworksasia/people/merl-chandana/"&gt;Merl Chandana&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://lirneasia.net/futureworksasia/people/merl-chandana/embed/#?secret=TwK9alDRxT" width="600" height="338" title="&#x201C;Merl Chandana&#x201D; &#x2014; FutureWORKS Asia" data-secret="TwK9alDRxT" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><thumbnail_url>https://lirneasia.net/futureworksasia/wp-content/uploads/2024/03/LIRNEasia-Merl-Chandana.webp</thumbnail_url><thumbnail_width>768</thumbnail_width><thumbnail_height>768</thumbnail_height><description>Merl is a Research Manager and the Team Lead at the Data, Algorithms and Policy (DAP) team at LIRNEasia. His diverse research interests are unified by a strong desire to utilise data science methods for crafting practical solutions and generating policy-relevant insights for the public good. At LIRNEasia, Merl is currently leading the creation of machine learning datasets focusing on household electricity consumption in Sri Lanka. These datasets aim to assist researchers and practitioners in formulating evidence-based strategies for managing energy demand within the country&#x2019;s energy sector. Additionally, he is utilising satellite imagery and machine learning to map urban expansion in Sri Lanka, unveiling crucial trends in the country&#x2019;s urbanisation process. He&#x2019;s also delving into how data and AI can enhance the delivery of emergency ambulance services in Sri Lanka, aiming to develop AI solutions that are equitable, safe, sustainable, human-centered, transparent, and accountable. Beyond applying data science techniques to tackle real-world issues, Merl is deeply interested in assessing the societal impact of data and algorithms. He currently leads a regional team contributing to the Global Index on Responsible AI, evaluating government commitments and capacities across 140+ countries to promote responsible AI. Additionally, he&#x2019;s involved in ongoing projects at LIRNEasia [&hellip;]</description></oembed>
