This April the next edition of the Research and Innovation Forum (Rii Forum) on which I posted previously will take place. For those, who are not familiar with Rii Forum yet, it is an annual conference that brings together researchers, academics, and practitioners in conceptually sound inter- and multi-disciplinary, empirically driven debate on key issues influencing the dynamics of social interaction today. Such a wide scope makes it a great event for those who do not want to be limited to a particular area or research question and want to be aware of everything that happens in today’s dynamic and multidisciplinary world. This, in turn, allows you not only to see another perspectives and topics, but also reconsider your topic, revealing something new, i.e. taking a look on it from a different angle, which is exceptionally valuable!
Technology, innovation, and education, as well as issues and topics located at their intersection, define the key dimensions of all discussions held during the Rii Forum. In continuously fragile international and domestic contexts, characterized by shocks, crises, and uncertainty, the Rii Forum 2023 seeks to address the multifaceted question of how to navigate these shocks, crises and uncertainty and deliver value to our society. Thus, the topic of Rii Forum 2023 is “Innovation 5.0.: Navigating shocks and crises in uncertain times Technology – Business – Society” with seven tracks:
TRACK 1: Education in times of shocks, crises and uncertainty
TRACK 2: Smart cities and communities
TRACK 3: Big data, business and society: Managing the distributed risks and opportunities
TRACK 4: Management: Rethinking management in times of profound change
TRACK 5: Innovation, entrepreneurship, and innovation management in the era of Industry 5.0.
TRACK 6: ICT and the medicine and healthcare cluster
TRACK 7: Data-driven approaches & human resource management in the era of digitalization
As part of Rii Forum 2023 a plenary debate “Advances in ICT & the Society: threading the thin line between progress, development and mental health” will take place, where I was honored to be invited as one of four plenary speakers, particularly considering that according tot he invitation, the organizers see me as the person whose “expertise and your contribution to the academic debate make you one of the trendsetters in current debate on open data and data quality management”, as well as leading voice and influencer. The other three panel discussants are Prof. Dr. Marek Krzystanek, Karolina Laurentowska & Prof. Marek Pawlicki. Hope this will be an interactive, fruitful and productive discussion with further involvement of the audience!
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 interactionby 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“.
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.
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!
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.