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   

📣 Reminder: Special Track Submissions for Data for Policy 2025 - Europe Edition! 📣 ⏰ Time is running out! You have until 11 December 2024 to submit your Special Track proposals for the Data for Policy 2025 – Europe Edition. This exciting event will take place on 12-13 June, 2025 at Leiden University, The Hague, Netherlands. The conference will focus on the theme "Twin Transitions in Data and Policy for a Sustainable and Inclusive Future", exploring how digital and green transitions can address global challenges. 🌍💡 We welcome proposals that align with either the main conference theme, “Twin Transitions in Data and Policy for a Sustainable and Inclusive Future,” or the broader Data for Policy theme. 🔗 Submit your proposal here 👉 https://lnkd.in/dS4ncQhY Don’t miss the chance to be part of this impactful event, shaping the future of data-driven policymaking! 🌟 Zeynep Engin, PhD Sarah Giest Bram Klievink Cambridge University Press & Assessment Andrew Hyde Leid Zejnilovic Anastasija Nikiforova Laura Zoboli #DataforPolicy2025 #DataforPolicy2025Europe #TwinTransitions #SustainableFuture #GreenTransition #DigitalInnovation #PolicyChange #DataDrivenPolicy #ClimateAction #SocialInclusion #EconomicResilience #GlobalChallenges #CallForProposals #EuropeConference #Data&Policy

🌟 Introducing the Editorial Board Members of the Data & Policy Journal and Data for Policy Community! 🌟 Our editorial board plays a vital role in shaping the journal’s vision, providing thematic guidance, and handling key aspects of manuscript review and strategic advice. We are proud to highlight the expertise and contributions of our distinguished members: ✍ Omar Isaac Asensio, Georgia Institute of Technology Dr. Asensio specializes in the intersection of data science and public policy, with a focus on environmental sustainability. ✍ Sarah Giest, Leiden University Prof. Giest’s research bridges technology and policymaking, emphasizing the digital transformation of governance to tackle societal challenges effectively. ✍ Mark Kennedy, Data Science Institute at Imperial College London Dr. Kennedy explores the emergence of new markets, industries, and the building blocks of organizing, with a particular interest in meaning construction processes. ✍ Innar Liiv, Tallinn University of Technology Prof. Liiv’s research focuses on e-government, data science, and big data applications, exploring innovative ways to enhance governance and public sector operations. ✍ Ilan Strauss, Social Science Research Council Dr. Strauss focuses on the digital economy, AI governance, and the implications of Big Tech acquisitions, contributing strategic insights to policy discussions. ✍ Wilson W., The Chinese University of Hong Kong Dr. Wong's research focuses on the intersection of technology, governance, and public policy. He explores how technological advancements shape governance frameworks and influence public sector strategies. ✍ Masaru YARIME, The Hong Kong University of Science and Technology Prof. Yarime bridges academia and practice, addressing sustainability challenges and crafting policies for innovative solutions. ✍ Leid Zejnilovic, Nova School of Business and Economics Prof. Zejnilovic’s research focuses on technology and innovation management, as well as human-computer interaction. His work explores how technology can be effectively integrated into organizations and society to drive innovation. Together, these exceptional scholars drive Data & Policy as a platform for cutting-edge research that bridges the gap between data science, governance, and policymaking. 👏 Join us in celebrating their leadership and dedication to advancing the journal and fostering our growing community! #EditorialBoard #Data&Policy #AI #DataGovernance #PolicyResearch #DataforPolicy2025 Cambridge University Press & Assessment Andrew Hyde

➡️ New Article at Data & Policy: "Emerging National Data Initiatives: Comparing proposals and initiatives in the United Kingdom, Germany, and the United States" Data is increasingly seen as a cornerstone for research and innovation, economic growth, and public service enhancement—especially as nations strive for "AI sovereignty". 🌐 Yet, much of the world's data remains inaccessible or underutilized. In response, we see the emergence of national data initiatives designed to consolidate and manage data more effectively and at scale, such as: 📚 UK’s proposal for a National Data Library (NDL) 🏛️ Germany’s National Data Institute (NDI) 🔒 US's National Secure Data Service (NSDS) 💡 In this blog (co-authored with Roshni Singh) we explore these national data initiatives and their strategic orientations and broader implications. 🤔 As these initiatives evolve, discernible patterns in their objectives, governance structures, data-sharing mechanisms, and stakeholder engagement frameworks reveal both shared principles and country-specific approaches. 🤔 To be successful, they may need to ✅ incorporate data stewardship principles and practices; ✅ secure a social license for legitimacy and trust. ✅ become more use-case-driven ✅ consider more distributed approaches with clearing house functions ✅ anticipate emerging AI technologies more. 🌍 We also call for international collaboration to share lessons and scale innovations responsibly. 📖 Read: https://lnkd.in/e37Wry-n #DataGovernance #AI #Innovation #Policy #Data #NationalDataLibrary

💡 New Data & Policy blog! The Emergence of National Data Initiatives: Comparing proposals and initiatives in the United Kingdom, Germany, and the United States A number of governments are initiating or exploring the launch of comprehensive national data strategies designed to consolidate, manage, and utilize data more effectively and at scale. As these initiatives evolve, discernible patterns in their objectives, governance structures, data-sharing mechanisms, and stakeholder engagement frameworks reveal both shared principles and country-specific approaches. This blog by Stefaan Verhulst, PhD and Roshni Singh (The Governance Lab) explores three national data initiatives and their strategic orientations and broader implications. 👉 https://lnkd.in/e-7UHZcV #AI #Data #EconomicGrowth #PublicServices #DataGovernance #DataStewardship #CivilSociety #SocialLicense

🆕 In this recently published paper in Data & Policy, Bastiaan van Loenen, Marijn Janssen, and I asked what the contributions of open data intermediaries may be in addressing persistent challenges in the open data ecosystem (ODE). Through expert interviews and a validation exercise, we mapped various potential contributions of open data intermediaries and the ODE challenges they may address. But beyond that, our research underscored several important insights: 💡 1. It is unsurprising that our study revealed various potential contributions of open data intermediaries to address challenges in the ODE. However, they would not be magically materialised without internal incentives (e.g., viable business models) or extrinsic incentives (e.g., policies and regulations) to drive open data intermediaries to offer those contributions. 💡 2. Our study highlights the need to distinguish a “role” from an “actor” in the ecosystem. Diverse ODE actors can undertake open data intermediation, including public organisations, for-profit companies, and civil society organisations. It is especially worth emphasising that open data intermediaries do not only exist outside of the public sector, as some have implied. Nevertheless, what a government organisation can do as an open data intermediary may differ from what a for-profit or civil society organisation can do in that role. This is due to these organisations' different legal obligations, societal expectations, resources, and other factors. 💡 3. Our findings also suggest that an open data provider or user could benefit from the contributions of multiple open data intermediaries simultaneously, in parallel or sequentially. This also implies that the beneficiary of an open data intermediary’s contributions could also be another open data intermediary. Thus, open data intermediaries are not merely the “bridge” between open data providers and users. 💡 4. Our findings call the boundaries of ODEs into question. Notably, the ODE challenges identified include those associated with external factors beyond just open data, and the contributions of open data intermediaries may involve many more activities than directly handling open data. We thus argued that the boundaries of an ODE do not have to (or cannot) be defined beforehand. However, for a specific assessment, research inquiry, or intervention, one should identify relevant actors, trace their associations, and analyse their interactions, which would involve making and remaking boundaries. 🔎 Read more: https://lnkd.in/eRJMW7s6 Data for Policy CIC ODECO

📣The new article "Predicting mobility aspirations in Lebanon and Turkey" by Ramona Rischke and Simon Ruhnke, PhD published at Data for Policy CIC, investigates the prediction for mobility by developing a machine learning algorithm to analyze two original cross-sectional face-to-face surveys ⬇️ https://lnkd.in/ePC8Tjbp #mobility #Lebanon #Turkey #machinelearning

Welcoming Our New Editorial Board Member! 🌟 We are excited to announce that Ilan Strauss has joined the Editorial Board of the Data & Policy journal and Data for Policy community. Dr. Strauss brings a wealth of experience as the Co-Director of the AI Commercialization Risks & Disclosures at the Social Science Research Council (SSRC) and an Honorary Senior Fellow at the UCL Institute for Innovation and Public Purpose (IIPP), where he led digital economy research supported by the Omidyar Network. Currently a Visiting Associate Professor at the University of Johannesburg, he has also taught macroeconomics at New York University and Rice University and has consulted extensively for United Nations bodies. Notably, he was the joint recipient of an Economic Security Project grant investigating Big Tech’s acquisition of technological capabilities. As a member of our Editorial Board, Dr. Strauss will play a pivotal role in shaping the journal's strategic direction, reviewing manuscripts, and helping to expand our author community. His leadership will further our mission to advance impactful research at the intersection of data science / AI and policy. We are thrilled to have him on board and look forward to the contributions he will make to our community! #DataforPolicy #Data&Policy #AI #DigitalEconomy #PolicyResearch #Innovation #AcademicPublishing Cambridge University Press & Assessment

📢 Call for Papers: Governance of #Health #Data for #AI #Innovation Following a successful track at the #DataforPolicy2024 Conference, we’re encouraging submissions for a special collection (virtual special issue) on this topic to be published in Data & Policy later in 2025.  ℹ️ How to submit: https://lnkd.in/duBkNTP9 📅 Deadline for submissions: 17 February 2025 We encourage submissions from #governmental organizations, #academia, and the #privatesector addressing the following themes (not exhaustive): ✅ Governance frameworks for accessing health data for AI innovation - clinical, administrative and health-related data. ✅ Ethical frameworks guiding the private sector’s use of health-related data to create private value and drive innovation. ✅ Ethical considerations for governmental institutions in using health data to create public value through AI-driven initiatives. ✅ Addressing infrastructural, legal, and cultural challenges in providing health data access for AI innovation, especially in the Global South. ✅ Digitisation and governance of Health data generated by government-run and public healthcare services. ✅ From e-Health to the “appification” of Health: Challenges in Managing Data from Health and Wellness Apps ✅ Increasing difficulties in accessing health data due to issues such as intellectual property, technical restrictions, and concerns about how AI is used. ✅ The lack of global standards and compatibility between different health data systems. ✅ The challenges that come with the shift in how health knowledge is created: moving from the traditional health-related research model of clinical trials to one that relies on analyzing large sets of health data ✅ Collaborations between public institutions and tech giants to advance health research, and the complications these partnerships bring. With thanks to editors: Renan Gadoni Canaan & Teresa Scassa (University of Ottawa). Data & Policy is a peer-reviewed #openaccess journal Cambridge University Press & Assessment (2023 Impact Factor: 1.8; CiteScore: 3.1). We operate an #equitable #openaccess model that guarantees that all authors can publish on an #openaccess basis if accepted, irrespective of their funding situation or institutional affiliation.

Deadline extension: 10 January 2025! 📢 Call for Papers: Generative AI for Sound Decision-Making: Challenges and Opportunities We have extended the deadline for submissions for this special collection of papers in Data & Policy (Cambridge University Press & Assessment), which builds upon a track at the #DataforPolicy2024 Conference. Consider submitting your work on the impact of #LLMs and other #GenerativeAI Models (GAIs) on our daily life and how regulators can respond to ensure that GAIs make sound recommendations/decisions, for the benefits of humanity and societies. ℹ️ For more details, see: https://lnkd.in/egmBqhAF 📅 New deadline: 10 January, 2025 Editors: Jacqueline Lam (The University of Hong Kong), Victor OK Li (The University of Hong Kong), Lawrence Cheung (The Chinese University of Hong Kong) & Jon Crowcroft (University of Cambridge Department of Computer Science and Technology & The Alan Turing Institute). Data & Policy is a peer-reviewed #openaccess journal at Cambridge University Press & Assessment (2023 Impact Factor: 1.8; CiteScore: 3.1). We operate an #equitable #openaccess model that guarantees that all authors can publish on an openaccess basis if accepted, irrespective of their funding situation or institutional affiliations. #AI #ChatGPT #Education #Health #Policy #Regulation #Trust #ExplainableAI #DataBias #Misinformation #Disinformation #Privacy #Security