Editorial Board Member of Data & Policy (Cambridge University Press)

Since July 2022, I am elected by Syndicate of Cambridge University Press as an Editorial Board Member of the Cambridge University Journal Data & Policy. Data & Policy is a peer-reviewed, open access venue dedicated to the potential of data science to address important policy challenges. For more information about the goal and vision of the journal, read the Editorial Data & Policy: A new venue to study and explore policy–data interaction by Stefaan G. Verhulst, Zeynep Engin, and Jon Crowcroft. More precisely, I act as an Area Editor of “Focus on Data-driven Transformations in Policy and Governance” area (with a proud short name “Area 1“). This Area focuses on the high-level vision for philosophy, ideation, formulation and implementation of new approaches leading to paradigm shifts, innovation and efficiency gains in collective decision making processes. Topics include, but are not limited to:

  • Data-driven innovation in public, private and voluntary sector governance and policy-making at all levels (international; national and local): applications for real-time management, future planning, and rethinking/reframing governance and policy-making in the digital era;
  • Data and evidence-based policy-making;
  • Government-private sector-citizen interactions: data and digital power dynamics, asymmetry of information; democracy, public opinion and deliberation; citizen services;
  • Interactions between human, institutional and algorithmic decision-making processes, psychology and behaviour of decision-making;
  • Global policy-making: global existential debates on utilizing data-driven innovation with impact beyond individual institutions and states;
  • Socio-technical and cyber-physical systems, and their policy and governance implications.

The remaining areas represent more specifically the current applications, methodologies, strategies which underpin the broad aims of Data & Policy‘s vision: Area 2 “Data Technologies and Analytics for Policy and Governance“, Area 3 “Policy Frameworks, Governance and Management of Data-driven Innovations“, Area 4 “Ethics, Equity and Trust in Policy Data Interactions“, Area 5 “Algorithmic Governance“, Area 6 “Data to Tackle Global Issues and Dynamic Societal Threats“.

Editorial committees of Data & Policy (Area 1)

For the types of submission we are interested in, they are four:

  • Research articles that use rigorous methods that investigate how data science can inform or impact policy by, for example, improving situation analysis, predictions, public service design, and/or the legitimacy and/or effectiveness of policy making. Published research articles are typically reviewed by three peer reviewers: two assessing the academic or methodological rigour of the paper; and one providing an interdisciplinary or policy-specific perspective. (Approx 8,000 words in length).
  • Commentaries are shorter articles that discuss and/or problematize an issue relevant to the Data & Policy scope. Commentaries are typically reviewed by two peer reviewers. (Approx 4,000 words in length).
  • Translational articles are focused on the transfer of knowledge from research to practice and from practice to research. See our guide to writing translational papers. (Approx 6,000 words in length).
  • Replication studies examine previously published research, whether in Data & Policy or elsewhere, and report on an attempt to replicate findings.

Read more about Data & Policy and consider submitting your contribution!

Moreover, as a part of this journal, we (Data & Policy community) organize a hybrid physical-virtual format, with one-day, in-person conferences held in three regions: Asia (Hong Kong), America (Seattle) and Europe (Brussels). “Data for Policy: Ecosystems of innovation and virtual-physical interactions” conference I sincerely recommend you to consider and preferably to attend! While this is already the seventh edition of the conference, I take part in its organization for the first year, thus am especially excited and interested in its success!

Data for policy, Area Editors

In addition to its six established Standard Tracks, and reflecting its three-regions model this year, the Data for Policy 2022 conference highlights “Ecosystems of innovation and virtual-physical interactions” as its theme. Distinct geopolitical and virtual-physical ecosystems are emerging as everyday operations and important socio-economic decisions are increasingly outsourced to digital systems. For example, the US’s open market approach empowering multinational digital corporations contrasts with greater central government control in the Chinese digital ecosystem, and radically differs from Europe’s priority on individual rights, personal privacy and digital sovereignty. Other localised ecosystems are emerging around national priorities: India focuses on the domestic economy, and Russia prioritises public and national security. The Global South remains underrepresented in the global debate. The developmental trajectory for the different ecosystems will shape future governance models, democratic values, and the provision of citizen services. In an envisioned ‘metaverse’ future, boundaries between physical and virtual spaces will become even more blurred, further underlining the need to scrutinise and challenge the various systems of governance.

The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. Its associated journal, Data & Policy, published by Cambridge University Press has quickly established itself as a major venue for publishing research in the field of data-policy interactions. Data for Policy is a non-profit initiative, registered as a community interest company in the UK, supported by sustainer partners Cambridge University Press, the Alan Turing Institute and the Office for National Statistics.

Read more about Data for Policy and become a part of it!

My first Invited Talk

Recently, I was invited to deliver my talk on the openness (open data and open science) in the context of Society 5.0 during the International Conference and Expo on Nanotechnology and Nanomaterials. It was very pleasant to receive an invitation to deliver the invited talk on my recently published article Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough? (Sensors 2021, 21(15), 5204), which I have entitled as “Open Data as a driver of Society 5.0: how you and your scientific outputs can contribute to the development of the Super Smart Society and transformation into Smart Living?. The paper has been briefly discussed in my previous post, thus, just a few words on this talk and overall experience. Although I have participated in different conferences as a speaker delivering presentations on my ongoing studies, this was my first experience of serving as an Invited Speaker, which is a sort of “Welcome to the senior league!”.

So, what was the main idea of the talk? Today, the open data and portals that provide these data and which can be accessed and used by everyone for their own needs became a daily phenomena. These phenomena became popular in science, contributing to the development of the concept of the “open science”, according to which making findings of the research available to the audience by means of articles, preferably OA, is not enough. Therefore, some more advanced guidelines have been defined and involved (or are involved, as is the case for (bio)medicine). These topic became valuable for both scientific and societal areas at (inter)national level. However, these initiatives, as well as users’ intent for open data, are evolving continuously and today, in line with IoT and smart city trends, real-time and sensor-generated data are of greater interest to users. This is all the more relevant for research-related data. These data may lead to solving problems that were not central research objects to the original data holders, improve previous results, establish cooperation to tackle challenges together. In addition, these data are considered to be one of the crucial drivers of a sustainable economy and can have an impact on information and communication technology innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. Although there are some studies reporting on open data and open science, understanding how and whether they have a positive impact on our lives at various levels and drives real transformation of the society, science, governments etc., this topic requires extensive work. Thus, in this talk I have provided my recent findings on this topic with some evidences of the importance of an “open science” trend, following the principles of open data. The aim of the talk is to make everyone ask themselves “am I promoting open science?” and “how can I promote open science?”.

To sum up, this was the first Invited Talk I have delivered and this was a great experience at the larger stage…. and… what to say, I liked it! It was a pleasure to get a very positive feedback on the talk and to see an interest from the researchers representing very medicine-related domains. Thank you, the International Conference and Expo on Nanotechnology and Nanomaterials.