🌟🎉 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 [email protected] 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
Data for Policy CIC
Data Infrastructure and Analytics
London, London 4,770 followers
Top global community of interest focusing data science innovation in governance
About us
Data for Policy is the premier global forum for the interdisciplinary and cross-sector discussion of the digital revolution transforming policy in government and the public sector. Established in 2015, it is an independent non-profit initiative registered in the UK as a Community Interest Company. It is supported by a large number of key stakeholders, including prestigious academic institutions, government departments, international agencies, non-profit institutions, and businesses. The inaugural conference was ‘Policy-making in the Big Data Era’, hosted by Cambridge University. Since then six further conferences have been held, with the most recent 2022 edition hosted in three international cities, Hong Kong, Seattle and Brussels. In 2019, Data for Policy launched its partner journal Data & Policy in collaboration with Cambridge University Press & Assessment.
- Website
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http://dataforpolicy.org
External link for Data for Policy CIC
- Industry
- Data Infrastructure and Analytics
- Company size
- 2-10 employees
- Headquarters
- London, London
- Type
- Nonprofit
- Founded
- 2014
Locations
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Primary
London, London NW1 1RJ, GB
Employees at Data for Policy CIC
Updates
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🌟 We are excited to welcome Stéphane C. K. Tékouabou (Cédric Stéphane TEKOUABOU KOUMETIO) to the Technologies & Analytics Area Committee of the Data for Policy community and the Data & Policy Journal! Dr. Tékouabou is an Assistant Professor in the Department of Computer Sciences and Educational Technologies of the Higher Teaching Training College of the University of Yaoundé I, Cameroon, and has previously worked as a Research Scientist at the Center of Urban System (CUS) at Mohamed VI Polytechnic University. He holds a PhD from Chouaib Doukkali University and specializes in computer vision, artificial intelligence, machine learning, deep learning, urban engineering, and educational technologies. He also serves as an associate editor for the African Cities Journal. Looking forward to his valuable contributions to discussions on the transformative role of technologies and data analytics in public policy! #TechnologiesandAnalytics #PublicPolicy #AI #DataScience #MachineLearning #DataforPolicy #Data&Policy Cambridge University Press & Assessment Omar Isaac Asensio Ayse Giz Gulnerman Mecit Can Emre Simsekler Roman Marchant Jude Kong Michael Zimba Christian Mongeau Andrew Hyde
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🚀 We are thrilled to welcome Michael Zimba to the Data for Policy community as our new Area Editor for the Technologies and Analytics focus area! Dr. Zimba brings a wealth of expertise to our community. He is the Executive Dean of the Malawi Institute of Technology, founding Lead of the Center for Artificial Intelligence and STEAM (CAIST), and Associate Professor of Artificial Intelligence and Data Science at Malawi University of Science and Technology. Some of Dr. Zimba’s notable contributions include co-authoring key African Union reports such as: AI for Africa: Artificial Intelligence for Africa’s Socio-economic Development, Regulation and Responsible Adoption of AI for Africa Towards Achievement of AU Agenda 2063 AUDA-NEPAD Artificial Intelligence Continental Roadmap for Africa He is also a reviewer for renowned AI research institutions and conferences, including Deep Learning Indaba and AAAI’s AI Ethics & Society, and is a leading voice in Malawi’s AI and data dialogue. His expertise will greatly contribute to shaping decision-making processes and advancing the public sector within the Data for Policy community.🎉 #DataforPolicy #ArtificialIntelligence #AI #DataScience #PublicPolicy #Technology #Innovation #DigitalTransformation #Africa #ResponsibleAI #AIforGood #Data&Policy Cambridge University Press & Assessment Omar Isaac Asensio Mecit Can Emre Simsekler Jude Kong Ayse Giz Gulnerman Roman Marchant Andrew Hyde
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📢✨ Spotlighting the Area Committee of the Data & Policy Journal on 🔁 Digital & Data-driven Transformations in Governance ! We are proud to introduce our esteemed committee members, who bring a wealth of expertise and diverse perspectives to this vital area: Sarah Giest - Professor of Public Policy at the Public Administration Institute of Leiden University, specializing in Innovation and Sustainability. Prof. Giest develops interdisciplinary research agendas focused on using a policy lens to examine technical, environmental, and social solutions for sustainable societies. Dr Sharique Hassan Manazir - Distinguished scholar at the Kautilya School of Public Policy, specializing in Policy Science and Digital Democracy. His research emphasizes political willingness in policymaking within the context of digital democracy. Sujit Sikder - Research Associate at the Leibniz Institute of Ecological Urban and Regional Development (IOER), working on spatial data science and citizen science to drive sustainable spatial transformations. Anastasija Nikiforova - Assistant Professor of Information Systems at the University of Tartu, involved in the European Open Science Cloud Task Force. Her research focuses on data management, integration, and quality, as well as leading digital transformation in public data ecosystems. Keegan McBride - Expert at the Oxford Internet Institute, University of Oxford, focusing on digital government, digital innovation, and the role of AI in the public sector. Dr. McBride’s research explores the complex relationships between technology, society, and the state in the digital age. Dr Francesco Mureddu - Senior Director at the Lisbon Council, specializing in innovation and technology policies, particularly in digital transformation, big data, and citizen science. Dr Bonnie B. Buyuklieva - Lecturer in Data Science for Society at UCL's Department of Information Studies, with a background in architecture and computation. She holds a PhD from Bartlett Centre for Advanced Spatial Analysis. Austin Zwick - Associate Teaching Professor at Syracuse University, serving as Senior Research Associate for the Autonomous Systems Policy Institute and the Director of the Bachelor of Professional Studies in Policy Studies program. Dr. Zwick’s research is on municipal government policy learning and innovation with respect to emerging industries, focusing on smart cities, the platform economy, and artificial intelligence. 🔗 For more details about our committee: https://lnkd.in/d3-JtUec Together, we are committed to exploring the transformative impact of digital innovations on governance and public policy. Stay tuned for insights and discussions that will shape the future of data-driven governance! #Governance #DigitalTransformation #PublicPolicy #DataforPolicy #DigitalGovernance #Innovation #Sustainability #AI #Research #Data&Policy Cambridge University Press & Assessment Zeynep Engin, PhD Stefaan Verhulst, PhD Andrew Hyde
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📢 Community Announcement 📢 Please join us in welcoming Dr Bonnie Buyuklieva Dr Bonnie B. from UCL as our new Area Editor for the focus area: Digital & Data-driven Transformations in Governance at Data & Policy Journal! 🎉 Data & Policy is a peer-reviewed, #openaccess journal dedicated to exploring the impact of data science on policy and governance in association with Cambridge University Press. Our mission is to promote a new theory of policy-data interactions by publishing work that examines how policy and data systems relate to each other. Dr. Buyuklieva is a Lecturer (Research) in Data Science for Society at UCL's Department of Information Studies. With a background in architecture and computation from Foster + Partners and Bauhaus-Universität Weimar, she holds a PhD from Bartlett Centre for Advanced Spatial Analysis (CASA, UCL). 🌟 We look forward to her contributions in advancing discussions on the transformative role of data in governance. #DataScience #PolicyInnovation #Governance #Data&Policy #UCL #DataforPolicy
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Professors John J. Hopfield (Princeton University) and Geoffrey E. Hinton (University of Toronto) have been awarded the 2024 #NobelPrize in Physics for their groundbreaking work in neural networks and machine learning. 👏 Huge congratulations to them for paving the way for transformative advancements in artificial intelligence, revolutionizing technology and impacting our daily lives. From enhancing medical imaging to improving climate models, their contributions are felt across countless fields. This well-deserved recognition highlights the profound impact of their discoveries on the future of AI and technology! 🔗 Read more: https://lnkd.in/dyUfXAtg #NobelPrize2024 #AI #MachineLearning #NeuralNetworks #Innovation #DataforPolicy
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” This year’s two Nobel Prize laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning. John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. Geoffrey Hinton invented a method that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures. When we talk about artificial intelligence, we often mean machine learning using artificial neural networks. This technology was originally inspired by the structure of the brain. In an artificial neural network, the brain’s neurons are represented by nodes that have different values. These nodes influence each other through connections that can be likened to synapses and which can be made stronger or weaker. The network is trained, for example by developing stronger connections between nodes with simultaneously high values. This year’s laureates have conducted important work with artificial neural networks from the 1980s onward. John Hopfield invented a network that uses a method for saving and recreating patterns. We can imagine the nodes as pixels. The Hopfield network utilises physics that describes a material’s characteristics due to its atomic spin – a property that makes each atom a tiny magnet. The network as a whole is described in a manner equivalent to the energy in the spin system found in physics, and is trained by finding values for the connections between the nodes so that the saved images have low energy. When the Hopfield network is fed a distorted or incomplete image, it methodically works through the nodes and updates their values so the network’s energy falls. The network thus works stepwise to find the saved image that is most like the imperfect one it was fed with. Geoffrey Hinton used the Hopfield network as the foundation for a new network that uses a different method: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data. Hinton used tools from statistical physics, the science of systems built from many similar components. The machine is trained by feeding it examples that are very likely to arise when the machine is run. The Boltzmann machine can be used to classify images or create new examples of the type of pattern on which it was trained. Hinton has built upon this work, helping initiate the current explosive development of machine learning. Learn more Press release: https://bit.ly/4gCTwm9 Popular information: https://bit.ly/3Bnhr9d Advanced information: https://bit.ly/3TKk1MM
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Data for Policy CIC reposted this
✨ New Article in Data & Policy 📊 "We Are Developing AI at the Detriment of the Global South — How a Focus on Responsible Data Reuse Can Make a Difference" 🖋️ with Peter Martey Addo, PhD 👉 As AI continues to advance, we're seeing growing inequalities in AI deployment and data production 📈 between developed 🌐 and less-developed countries. 👉 From healthcare 🏥 to education 📚 and agriculture 🌾, AI holds tremendous potential for the Global South—yet, the risks of mis-uses and missed-uses are equally significant ⚠️. ➡️ In our new Data & Policy article, we explore how responsible data reuse can help tackle these imbalances. We advocate for a shift towards a social license for data reuse — a framework based on collective engagement 🙌 and community values 🤝, moving away from outdated individual consent models 📝. 🔍 We also provide actionable steps for policymakers, researchers, and communities to ensure AI and data are used equitably ⚖️ and responsibly, ensuring no one is left behind 🚀. 📖 Check out the full article here: https://lnkd.in/e7FwXB34 #DataForPolicy #ResponsibleAI #GlobalSouth #DataReuse #SocialLicense #AIForGood #AI #ArtificialIntelligence #DataGovernance
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🌟 A Warm Welcome to Our New Area Editor ! 🌟 We are thrilled to announce that Austin Zwick, PhD from Syracuse University has joined our editorial team as the new area editor for the focus area: Digital & Data-driven Transformations in Governance at the Data & Policy journal! 🎉 Data & Policy, in association with Cambridge University Press & Assessment, is a peer-reviewed, #openaccess journal dedicated to exploring the impact of data science on policy and governance. Our goal is to promote new theories and insights into how data and policy systems interact. Dr. Zwick’s expertise will be invaluable as we continue to push these discussions forward. Austin Zwick, PhD is an Associate Teaching Professor at Syracuse University with a joint appointment to the Maxwell School of Citizenship & Public Affairs and the College of Professional Studies. He also serves as Senior Research Associate for the Autonomous Systems Policy Institute and Director of the Bachelor of Professional Studies in Policy Studies program. He brings extensive experience, having co-edited key publications on urban policy and the platform economy, and as a former Associate Editor for the journal IET Smart Cities. His research focuses on municipal government policy learning and innovation in emerging industries, particularly smart cities, the platform economy, and artificial intelligence. We are excited to have Dr Austin Zwick as part of our diverse Data for Policy community and look forward to the incredible contributions he will make! #Data&Policy #DigitalGovernance #AI #DataScience #SmartCities #PlatformEconomy #AIinPolicy #PolicyInnovation #DataforPolicy Sarah Giest Dr Sharique Hassan Manazir Anastasija Nikiforova Keegan McBride Francesco Mureddu Sujit Sikder
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📢 New Guidance from the White House: Advancing Responsible AI in Government 🏛️ The Office of Management and Budget (OMB) has just released critical new guidance, Advancing the Responsible Acquisition of Artificial Intelligence in Government memorandum (M-24-18) to ensure the responsible acquisition and use of AI technologies across government agencies. This move is essential to fostering transparency, accountability, and safety in the deployment of AI systems. 🔑 Key highlights from the memorandum: Managing AI risks and performance by involving privacy officials early in the process and working with vendors to ensure responsible use. Promoting a competitive AI marketplace by minimizing vendor lock-in and emphasizing transparency and interoperability. Encouraging cross-agency collaboration to navigate AI’s rapidly evolving landscape and ensure responsible implementation. This memo builds on previous initiatives, aligning federal procurement power with ethical AI innovation. 🔗 Read the full fact sheet here : https://lnkd.in/eYYBBsxv #ResponsibleAI #AIRegulation #AIGovernance #DataPolicy #Innovation #DataforPolicy
FACT SHEET: OMB Issues Guidance to Advance the Responsible Acquisition of AI in Government | OMB | The White House
whitehouse.gov
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📢 We are excited to share that Prof. Masaru YARIME, The Hong Kong University of Science and Technology, a valued member of the Data & Policy editorial board and the Data for Policy community, has been awarded a research grant from Social Science Research Council (SSRC) for his project titled "Data Governance for Innovation for Sustainable Smart Cities: A Comparative Analysis of Japan, the United States, and China." Prof. Yarime’s project examines different frameworks for data governance in smart cities—ranging from independent data trusts to decentralized and centralized models—across Japan 🇯🇵 , China 🇨🇳 and the US 🇺🇲. 🔗 Learn more about this impactful work: https://lnkd.in/gWRpEJZM Congratulations to Prof. Yarime and his team! 👏 #DataGovernance #SmartCities #Innovation #Research #SSRC #HKUST #Policy #Data&Policy #DataforPolicy
Prof. Masaru YARIME from HKUST Division of Public Policy has been awarded a research grant by the U.S. Social Science Research Council (SSRC) with his cross-disciplinary, cross-national research project "Data Governance for Innovation for Sustainable Smart Cities: A Comparative Analysis of Japan, the United States, and China". Led by Prof. YARIME, the project aims to examine different approaches to data governance in smart cities, including independent data trusts, decentralized data linkage platforms, and centralized government management, by comparing Japan, the United States, and China. Implications are explored for public policy and institutional development on data governance across the globe. Congratulations to Prof. YARIME and the team! Read more about his research: https://lnkd.in/gWRpEJZM #hkust #hkustais #AcademyOfInterdisciplinaryStudies #PPOL #SSRC #research #DataGovernance #SmartCities