#DataforPolicy2021: Further Reading
Since 2015 the Data for Policy Conference has attracted insightful contributions on the impact and potential of data science for governance. Over the past two years, Data & Policy — published by Cambridge University Press in association with the Conference — has also built up a bank of open, peer-reviewed knowledge at this interface.
In connection with this year’s programme, we’ve put together this list of further reading materials on three themes (Covid-19, sustainability and algorithmic governance) of this year’s Conference. All the following papers are openly available in Data & Policy and on the Conference’s Zenodo platform.
1. Covid-19: The opening plenary on 14 September — chaired by Stefaan Verhulst (NYU GovLab), featuring Brennan Lake (Cuebiq), Chinwe Ochu (Nigeria Centre for Disease Control) and Chris Wiggins (Columbia / New York Times) — concerns the impact of the pandemic on data ecosystems. Readers enjoying the plenary may be interested to explore this further material on Covid-19, data ecosystems and data sharing.
From this year’s conference:
- Data Sharing for Common Purpose: Policy Frameworks and Implications post Covid-19
- Dynamically Identifying Community-level COVID-19 Impact Risks
- COVID-19: An exploration of consecutive systemic barriers to pathogen-related data sharing during a pandemic
- Data governance for the public acceptability of personalized COVID-19 advice: An experimental study in Hong Kong
- How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?
- The labor market implications of restricted mobility during the Covid-19 pandemic in Kenya: Evidence from nationally representative phone surveys in Kenya
In Data & Policy (peer-reviewed journal articles):
- This special collection of papers on telco-government collaborations using Big Data Analytics for Covid-19
- Understanding migrants in COVID-19 counting: Rethinking the data-(in)visibility nexus.
- Rethinking digital identity for post-COVID-19 societies: Data privacy and human rights considerations
- Reimagining data responsibility: 10 new approaches toward a culture of trust in re-using data to address critical public needs
Earlier Conference papers:
- The interdependency of data governance and open government data: lessons from COVID-19
- Increasing Resilience toward COVID-19 via Risk Mapping: Co-creation of Data for Stakeholder Engagement in Hong Kong
2. Arguments, Algorithms and Tools: The Conference also features a special track on how we confront misinformation, post-pandemic — chaired by Jaron Porciello (Cornell), Stephan Lewandowsky (Bristol) and Ulrike Hahn (Birkbeck) — in addition to the standard track on algorithmic governance. Readers enjoying this track may be interested in these further articles on algorithms, decision-making and trust.
In Data & Policy (peer-reviewed journal articles):
- The accuracy versus interpretability trade-off in fraud detection model
- From satisficing to artificing: The evolution of administrative decision-making in the age of the algorithm
- Artificial intelligence for political decision-making in the European Union: Effects on citizens’ perceptions of input, throughput, and output legitimacy
- Data Protection Impact Assessments as rule of law governance mechanisms
On Data for Policy’s Zenodo platform (past Conference papers):
- Scaling collaborative policymaking: how to leverage on digital co-creation to engage citizens
- Responsible Innovation for Digital Identity Systems
- Paternalism in the governance of artificial intelligence and automated decision-making in the United Kingdom
- The Role of Consumer Trust and Policy Tensions in the European Commission’s Data and AI Strategy
3. Data-driven innovation for sustainability: We’re delighted that Masaru Yarime (Hong Kong University of Science and Technology) is chairing the special track on “Facilitating Data-Driven Innovation for Sustainability: Policy Frameworks and Measures for Data Governance”. You may want to ideas related to this track further through the following papers
From the track (Conference papers on Data & Policy’s Zenodo platform):
- Technology to Sustainable Development Challenges and risks arising from the Internet of Value — Governance and privacy issues through distributed ledger technology
- Increasing Resilience toward COVID-19 via Risk Mapping: Co-creation of Data for Stakeholder Engagement in Hong Kong
- The Sustainability Action Platform: a knowledge management mechanism for advancing global sustainability transitions?
In Data & Policy (peer-reviewed journal article)
Explore more articles by searching by keyword in Data & Policy and on Data for Policy’s Zenodo — all content is open access.
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This is the blog for Data & Policy (cambridge.org/dap), a peer-reviewed open access journal exploring the interface of data science and governance. Read on for five ways to contribute to Data & Policy.
