Data for Policy CIC

🌟🎉 Thank You to all who joined and contributed to the success of our #dataforpolicy2024 conference!🌟🎉 We are delighted to have hosted the 8th International Data for Policy Conference at Imperial College London. This year's event, themed "Data for Policy 2024 – Decoding the Future: Trustworthy Governance with AI?", brought together distinguished experts from around the world to discuss the future of data-driven policymaking. The conference was filled with insightful discussions, groundbreaking research, and meaningful networking opportunities. 🎉 We extend our heartfelt thanks to all speakers, participants, and volunteers who contributed to the tremendous success of this event. We are also grateful to all our partners that we will cite all in a separate post. 📸 A special highlight was the warm and collaborative atmosphere, captured perfectly in our family photo. Here’s to many more conferences where we can continue to drive innovation and impact through data. We'd be delighted to share the family photo in high resolution for a closer look at the participants. If you're interested, please email us at communications@dataforpolicy.org Stay tuned for more photos and videos! #DataforPolicy2024 #ImperialCollegeLondon #DataScience #PolicyMaking #AI #Conference Data Science Institute at Imperial College London Zeynep Engin, PhD; Emily Gardner; Jon Crowcroft; Stefaan Verhulst, PhD; Andrew Hyde; Mark Kennedy; Peter Ford; Rossella Arcucci; Joel Martin; Barbara Ubaldi; Jennifer Hansen; Keegan McBride; Lord Holmes; A. Aldo Faisal; Friederike Schüür; Russell Wald; Ayse Giz Gulnerman; Merve Hickok; Roger Scott-Douglas; Francesco Mureddu; Rachel Adams; Samuel Segun, PhD; Ben Snaith; Rachel Franklin   

📢 Call for Editors - Reminder! 💡 💡 💡 📆 Deadline for applications: July 31, 2024. As mentioned during last week's #dataforpolicy2024 conference, we seek new Editors to join the team of Data for Policy, the open-access journal published in collaboration with Cambridge University Press & Assessment. The vision behind the conference and journal is one of interdisciplinary and cross-sector community-building: forming connections between people in academia, government, non-profit and commercial organizations. They are are interrelated venues for the discussion, development, dissemination and archiving of knowledge about data and AI are transforming governance. We have outlined a unique framework of six interdisciplinary, non-domain specific Areas of Interest, based upon the contributions made to both venues to date, that are embedded as standard tracks in both venues. We're looking for people with relevant knowledge to join these Area Committees and our Editorial Board. For more information on how to apply read: https://lnkd.in/e6pmfxBc Application deadline: 31 July 2024. #DataScience #AI #PolicyMaking #Governance #Trust #Transformation

I had a great time speaking and presenting at the Data for Policy CIC 2024 conference which held at Imperial College London. It was exciting being on the 'AI, Ethics and Policy Governance in Africa' panel, with Samuel Segun, PhD, Connor Wright, and Amara Esther Chimakonam. The session was co-chaired by the amazingly brilliant Rachel Adams, and my paper was on 'Digital Colonialism, Artificial Intelligence, and the Implications for Africa’s Future Development'. The paper will be published in the coming weeks by Data for Policy CIC, in collaboration with Cambridge University Press . It was also an honour to be selected among distinguished thought leaders, policy makers and researchers, as part of the 'Understanding, Facilitating, and Connecting AI and Data Science Futures in Sub-Saharan Africa' strategic working group at the Data Science Institute, Imperial College London; with support from the Bill & Melinda Gates Foundation. Special thanks to the organisers and the entire data for policy team for successfully driving a cross cultural collaboration among the presenters and the attendees. #techpolicy #research #DataforPolicy2024 #africa

🚀 My Takeaways from the Data for Policy Conference 2024 🚀 This week I had the pleasure of attending the Data for Policy CIC Conference at Imperial College London. It was an eye-opening experience that provided many new insights into how AI can foster trustworthy decision-making and governance. Some of the themes that I will take away (only scratching the surface of the incredible research and work in this field) include: 💡 AI as a Means, Not an End: AI should be seen as a tool to enhance and augment human capacity and decision-making, not to replace the processes and systems we already have in place. We should consider what the priority use cases and impact of using AI are and use accordingly. 🌍 Ethical Frameworks for AI: There's an ongoing challenge in defining accuracy, fairness, and transparency in AI systems. Ethical considerations must guide the use of AI, ensuring it serves humanity's best interests, considers national and regional nuances and respects individual rights. 🤖 Implementing AI: AI-driven solutions can revolutionise service delivery and public innovation. However, implementation often struggles due to lack of skills, data availability, and privacy concerns. Promoting transparency, sharing best practices, and standardising approaches are crucial steps forward. 🌐 Cross-sectoral collaboration: AI Governance needs voices from all fields! Collaboration between policymakers, corporates, technologists, ethicists, and the public is key to creating inclusive, effective AI solutions and governance. What other key themes do you think are important for the future of AI in policy? #AI #DataForPolicy2024 #EthicalAI #DigitalTransformation #Governance #Innovation #DataPrivacy #AIGovernance #AIRegulation #FutureOfAI #PublicSector #ResponsibleAI

🤔 Key Takeaways from last week's Data for Policy Conference 2024 🌐 The Data for Policy Conference 2024 delivered insightful discussions on the pivotal role of data in advancing #AI technologies for #governance. Here are some of my high-level takeaways : 🔍 Data is Key for AI: The conference underscored the critical role of data in advancing AI technologies for governance purposes. Without systematic and responsible access to data for re-use, the progress of AI could be significantly hampered, leading to what we are now calling a "data winter"—a period where the lack of accessible and integrated data stifles innovation and growth. Moreover, the quality of data is paramount. Therefore, there's a growing emphasis on data governance frameworks that ensure data integrity, and minimize biases. 🚰 Invest in Plumbing to Heat the Data Winter: To harness AI, we need first robust data infrastructures and standards. Investing in data "plumbing" ensures that the vast amounts of data generated are accessible, high-quality, and usable, thus driving innovation and efficient AI deployment. 🤝 In addition to technical infrastructure, the human element of ensuring data access and re-use cannot be overlooked. Training and empowering data stewards to manage and interpret data effectively is critical. These new professionals are essential to ensuring that the data is accessible in a systematic, sustainable, and responsible way and that the data reused in AI applications is relevant, accurate, and timely. 📜 Updating Data Governance Principles: AI's rapid evolution is pushing us to revisit and update data governance principles. Ensuring equitable data practices coupled with digital self-determination is critical for building trustworthy AI systems. This includes addressing biases, enhancing participatory frameworks, and fostering a culture of responsible data use. 🧠 From Decision Support to Decision Intelligence: AI can significantly support decision-making processes, but there's a need to rethink how decisions are made. Embracing decision intelligence involves integrating advanced analytics and AI, coupled with collective intelligence and lived experience, into decision workflows, moving from merely supporting decisions to fundamentally transforming them with new practices and professions. 📏 New Metrics for Good Governance: With AI's growing influence, establishing new metrics for good governance is essential. These metrics should focus on inclusivity, transparency, and accountability, ensuring that AI-driven decisions are fair and beneficial for all stakeholders. This requires ongoing dialogue and collaboration across sectors to define and implement these standards effectively. These takeaways provide just a glimpse into the rich discussions at the conference. For a deeper dive into these topics, check out the Book of Abstracts: https://lnkd.in/e9UtYVJg  #DataForPolicy #AI #DataGovernance #DecisionIntelligence #Innovation

We were very pleased to have you join #dataforpolicy2024 conference! Many thanks for your participation and contribution.

We were delighted to have you join #dataforpolicy2024 conference at Imperial College London! Your participation and insights greatly enriched the discussions. We look forward to continuing the conversation and seeing you at our future events. Thank you for being a part of our community!

📸✨ Conference Photos Now Available! ✨📸 We have just uploaded a selection of photos from the #DataForPolicy2024 conference! 🌟🎉 Relive the memorable moments, insightful discussions, and collaborative atmosphere by checking out our Flickr albums here: 📷 https://lnkd.in/eiSJ2wyA We have organised the photos into five albums: Pre-Conference Workshop, Day 1, Day 2, Day 3, and Reception & Networking. Our team is uploading more pictures as they are prepared, so please check again next week for more. Feel free to use these pictures for your conference-related social media updates and other publicity materials. We will start releasing recordings from the conference soon. Consider subscribing to our YouTube account to receive notifications as new material is made available. 🎥 https://lnkd.in/e8772K7n Thank you once again to all who made this conference a tremendous success! #DataForPolicy2024 #AI #Policymaking #Innovation #Collaboration #ConferencePhotos Zeynep Engin, PhD Emily Gardner Data Science Institute at Imperial College London Imperial College London Jon Crowcroft Peter Ford Stefaan Verhulst, PhD Mark Kennedy Rossella Arcucci

I was thrilled to attend the Data for Policy Conference 2024 at Imperial College London and presented my work on AI and Digital Transformation of the Greater China Region yesterday. My co-author will present a second paper on AI and higher education today!

"You know when you've found your community!" What an impressive atmosphere at the Data for Policy CIC conference at Imperial College London! The complexity of global challenges is visibly increasing... But so is the potential of our technologies! And precisely because we do not know exactly where AI will lead us as a (global) community, we now have the opportunity and responsibility to shape this technology participatively and transparently. If we hesitate, others will set the rules... I was most inspired by A. Aldo Faisals keynote: Human and machine interaction in the health sector can provide a solid foundation for trustworthy AI concepts in other decision-making processes, even if they are sensitive. In the end, it is the interdisciplinary collaboration of many that creates technical solutions serving both people and society. Why? Because today's problems are too complex to be solved manually by just a few... So, as a progressive society, we need more data and AI competence in the public sector! The resilience of a society is more dependent than ever on the digital capabilities of its institutions. Kudos to the organizers and speakers for a profound and multifaceted exchange filled with passion and commitment! Zeynep Engin, PhD Rossella Arcucci Mark Kennedy Jon Crowcroft Stefaan Verhulst, PhD ... and many many others. #data4policy #ai4good #digitalTransformation #publicSector #justDoIt #datalab