Use of Data in Public Sector Human Resources and Workforce Management: Solutions and Challenges


White Paper by Katherine Barrett and Richard Greene: “Across the U.S., a growing number of cities, counties, and states are using data across agencies to improve management and make decisions—and HR and payroll professionals in particular stand to gain much from this data to help drive staffing and other strategic decisions. In this white paper, industry experts Katherine Barrett and Richard Greene take a deep dive into both the benefits and challenges of using data with real-life examples of how data has been instrumental in building a resilient HR apparatus.

Data can be used for positive change that includes shorter new-hire onboarding, fairer overtime distribution, and even improved employee safety. However, obstacles to using data in an optimal way to improve HR management, such as insufficient funding, lack of training, and lack of software access, can keep government organizations from making the most of all it can offer.

Despite barriers, many organizations are moving toward creating a culture that is conducive to the use of the data their computers can create. Examples of how data and data analysis can transform workforce management practices include:

  • Studying existing hiring and onboarding data to facilitate more effective and efficient administration
  • Tracking turnover data to document employee departures and reveal information about those most at risk of sudden departure
  • Reducing overtime by using the data to ensure fairer distribution of overtime
  • Uncovering equity issues by assessing and comparing the demographic makeup of a workforce to see how closely it matches their population…(More)”

Governing the ‘Datafied’ School: Bridging the Divergence between Universal Education and Student Autonomy


Paper by Theresa Henne and Oskar Josef Gstrein: “Students and teachers find themselves increasingly surrounded by Big Data and AI technologies that facilitate the learning process and the organisation of school life. Accordingly, vast amounts of data are being collected on the working of the entire school community. This trend–referred to as the ‘datafication’ of education–was pushed immensely during the COVID-19 pandemic. However, already before the necessity to quickly find digital solutions for remote teaching and learning, many scholars were concerned about the privacy and autonomy of the ‘datafied’ student and the corresponding larger effects on public education and democracy as such. In this chapter, we approach the datafication of school education through the lens of data protection and autonomy. We point to the inadequacies in the European data protection framework, which is considered as the state of the art by many. In search of other capable legal concepts, we explore the German ‘right to informational self-determination’, which introduces the distinct argument that restricting data flows is a necessity for the free personal development of the individual–a notion relevant for the tumbling, ever evolving minds of children and teenagers. We find that the fuzzy realities of school life demand a nuanced governance approach that balances individual control and privacy protection with the interests, needs and visions of the school community…(More)”.

The Effectiveness of Digital Interventions on COVID-19 Attitudes and Beliefs


Paper by Susan Athey, Kristen Grabarz, Michael Luca & Nils C. Wernerfelt: “During the course of the COVID-19 pandemic, a common strategy for public health organizations around the world has been to launch interventions via advertising campaigns on social media. Despite this ubiquity, little has been known about their average effectiveness. We conduct a large-scale program evaluation of campaigns from 174 public health organizations on Facebook and Instagram that collectively reached 2.1 billion individuals and cost around $40 million. We report the results of 819 randomized experiments that measured the impact of these campaigns across standardized, survey-based outcomes. We find on average these campaigns are effective at influencing self-reported beliefs, shifting opinions close to 1% at baseline with a cost per influenced person of about $3.41. There is further evidence that campaigns are especially effective at influencing users’ knowledge of how to get vaccines. Our results represent, to the best of our knowledge, the largest set of online public health interventions analyzed to date…(More)”

Digital Literacy Doesn’t Stop the Spread of Misinformation


Article by David Rand, and Nathaniel Sirlin: “There has been tremendous concern recently over misinformation on social media. It was a pervasive topic during the 2020 U.S. presidential election, continues to be an issue during the COVID-19 pandemic and plays an important part in Russian propaganda efforts in the war on Ukraine. This concern is plenty justified, as the consequences of believing false information are arguably shaping the future of nations and greatly affecting our individual and collective health.

One popular theory about why some people fall for misinformation they encounter online is that they lack digital literacy skills, a nebulous term that describes how a person navigates digital spaces. Someone lacking digital literacy skills, the thinking goes, may be more susceptible to believing—and sharing—false information. As a result, less digitally literate people may play a significant role in the spread of misinformation.

This argument makes intuitive sense. Yet very little research has actually investigated the link between digital literacy and susceptibility to believe false information. There’s even less understanding of the potential link between digital literacy and what people share on social media. As researchers who study the psychology of online misinformation, we wanted to explore these potential associations….

When we looked at the connection between digital literacy and the willingness to share false information with others through social media, however, the results were different. People who were more digitally literate were just as likely to say they’d share false articles as people who lacked digital literacy. Like the first finding, the (lack of) connection between digital literacy and sharing false news was not affected by political party affiliation or whether the topic was politics or the pandemic…(More)”

Measuring sustainable tourism with online platform data


Paper by Felix J. Hoffmann, Fabian Braesemann & Timm Teubner: “Sustainability in tourism is a topic of global relevance, finding multiple mentions in the United Nations Sustainable Development Goals. The complex task of balancing tourism’s economic, environmental, and social effects requires detailed and up-to-date data. This paper investigates whether online platform data can be employed as an alternative data source in sustainable tourism statistics. Using a web-scraped dataset from a large online tourism platform, a sustainability label for accommodations can be predicted reasonably well with machine learning techniques. The algorithmic prediction of accommodations’ sustainability using online data can provide a cost-effective and accurate measure that allows to track developments of tourism sustainability across the globe with high spatial and temporal granularity…(More)”.

Energy Data Sharing: The Case of EV Smart Charging


Paper by Sean Ennis and Giuseppe Colangelo: “The green and digital transitions are concomitantly underway. In its upcoming Action Plan on Digitalisation of Energy, the European Commission aims to develop a digital-driven “European energy data space” to allow for data sharing and system integration between the energy sector and other sectors, e.g. mobility.

CERRE  has begun working at the intersection of digital and energy with a new, cross-sector research initiative aimed at identifying the business case and governance principles for the development of a European energy data space, using the concrete example of smart electric vehicle charging points, which will play an important role in increasing the flexibility and efficiency of the energy sector.

Key research questions to be addressed as part of the project are:

  • What property rights are included within the smart charging data?
  • What is the business case for industry players and customers to share their data?
  • What should be the overarching principles governing a European energy data space?
  • What government interventions or data standards are required to make specific use cases successful for achieving green transition goals?..(More)”.

Confronting Reality in Cyberspace: Foreign Policy for a Fragmented Internet


Report by Council on Foreign Affairs Task Force: “…The Task Force proposes three pillars to a foreign policy that should guide Washington’s adaptation to today’s more complex, variegated, and dangerous cyber realm.

First, Washington should confront reality and consolidate a coalition of allies and friends around a vision of the internet that preserves—to the greatest degree possible—a trusted, protected international communication platform.

Second, the United States should balance more targeted diplomatic and economic pressure on adversaries, as well as more disruptive cyber operations, with clear statements about self-imposed restraint on specific types of targets agreed to among U.S. allies.

Third, the United States needs to put its own proverbial house in order. That requirement calls for Washington to link more cohesively its policy for digital competition with the broader enterprise of national security strategy.

The major recommendations of the Task Force are as follows:

  • Build a digital trade agreement among trusted partners.
  • Agree to and adopt a shared policy on digital privacy that is interoperable with Europe’s General Data Protection Regulation (GDPR).
  • Resolve outstanding issues on U.S.-European Union (EU) data transfers.
  • Create an international cybercrime center.
  • Launch a focused program for cyber aid and infrastructure development.
  • Work jointly across partners to retain technology superiority.
  • Declare norms against destructive attacks on election and financial systems.
  • Negotiate with adversaries to establish limits on cyber operations directed at nuclear command, control, and communications (NC3) systems.
  • Develop coalition-wide practices for the Vulnerabilities Equities Process (VEP).
  • Adopt greater transparency about defend forward actions.
  • Hold states accountable for malicious activity emanating from their territories.
  • Make digital competition a pillar of the national security strategy.
  • Clean up U.S. cyberspace by offering incentives for internet service providers (ISPs) and cloud providers to reduce malicious activity within their infrastructure.
  • Address the domestic intelligence gap.
  • Promote the exchange of and collaboration among talent from trusted partners.
  • Develop the expertise for cyber foreign policy.

A free, global, and open internet was a worthy aspiration that helped guide U.S. policymakers for the internet’s first thirty years. The internet as it exists today, however, demands a reconsideration of U.S. cyber and foreign policies to confront these new realities. The Task Force believes that U.S. goals moving forward will be more limited and thus more attainable, but the United States needs to act quickly to design strategies and tactics that can ameliorate an urgent threat…(More)”.

Identifying and addressing data asymmetries so as to enable (better) science


Paper by Stefaan Verhulst and Andrew Young: “As a society, we need to become more sophisticated in assessing and addressing data asymmetries—and their resulting political and economic power inequalities—particularly in the realm of open science, research, and development. This article seeks to start filling the analytical gap regarding data asymmetries globally, with a specific focus on the asymmetrical availability of privately-held data for open science, and a look at current efforts to address these data asymmetries. It provides a taxonomy of asymmetries, as well as both their societal and institutional impacts. Moreover, this contribution outlines a set of solutions that could provide a toolbox for open science practitioners and data demand-side actors that stand to benefit from increased access to data. The concept of data liquidity (and portability) is explored at length in connection with efforts to generate an ecosystem of responsible data exchanges. We also examine how data holders and demand-side actors are experimenting with new and emerging operational models and governance frameworks for purpose-driven, cross-sector data collaboratives that connect previously siloed datasets. Key solutions discussed include professionalizing and re-imagining data steward roles and functions (i.e., individuals or groups who are tasked with managing data and their ethical and responsible reuse within organizations). We present these solutions through case studies on notable efforts to address science data asymmetries. We examine these cases using a repurposable analytical framework that could inform future research. We conclude with recommended actions that could support the creation of an evidence base on work to address data asymmetries and unlock the public value of greater science data liquidity and responsible reuse…(More)”.

The UK Algorithmic Transparency Standard: A Qualitative Analysis of Police Perspectives


Paper by Marion Oswald, Luke Chambers, Ellen P. Goodman, Pam Ugwudike, and Miri Zilka: “1. The UK Government’s draft ‘Algorithmic Transparency Standard’ is intended to provide a standardised way for public bodies and government departments to provide information about how algorithmic tools are being used to support decisions. The research discussed in this report was conducted in parallel to the piloting of the Standard by the Cabinet Office and the Centre for Data Ethics and Innovation.
2. We conducted semi-structured interviews with respondents from across UK policing and commercial bodies involved in policing technologies. Our aim was to explore the implications for police forces of participation in the Standard, to identify rewards, risks, challenges for the police, and areas where the Standard could be improved, and therefore to contribute to the exploration of policy options for expansion of participation in the Standard.
3. Algorithmic transparency is both achievable for policing and could bring significant rewards. A key reward of police participation in the Standard is that it provides the opportunity to demonstrate proficient implementation of technology-driven policing, thus enhancing earned trust. Research participants highlighted the public good that could result from the considered use of algorithms.
4. Participants noted, however, a risk of misperception of the dangers of policing technology, especially if use of algorithmic tools was not appropriately compared to the status quo and current methods…(More)”.

Non-Fungible Tokens (NFTs)


Report by the Congressional Research Service:Non-fungible tokens (NFTs) have become popular as unique and non-interchangeable units of data that signify ownership of associated digital items, such as images, music, or videos. Token “ownership” is recorded and tracked on a blockchain (a digital database that records data on a decentralized network of computers without the use of a central authority). In the future, supporters believe NFTs will be used as digital representations of physical items, such as a deed to a house or title to a car. NFTs are commonly used to record and represent ownership of an item, verify authenticity, and enable exchange. However, they do not necessarily reflect the legal ownership of an asset or grant copyright to a digital or physical item. NFT owners purchase only the right to the NFT’s blockchain metadata or “token,” not the underlying asset, unless otherwise specified in external contracts or terms and conditions. NFTs share many similarities with cryptocurrencies, and they are commonly bought and traded using cryptocurrency. Both NFTs and cryptocurrencies are built and tracked on blockchains, and they share much of the same customer and community base. However, cryptocurrencies are fungible, meaning interchangeable, whereas NFTs are unique and therefore non-fungible. Most users create and buy NFTs on dedicated NFT marketplaces. For a typical NFT, it is created or “minted” on a blockchain, auctioned off or sold at a fixed price on an NFT marketplace, and “stored”in the buyer’s digital wallet. Smart contracts (self-executing contracts or lines of computer code on a blockchain) can mint NFTs or transfer them from one owner to another. In combination, blockchains and smart contracts are the backbone of the NFT ecosystem…

Report by the Congressional Research Service: “Non-fungible tokens (NFTs) have become popular as unique and non-interchangeable units of data that signify ownership of associated digital items, such as images, music, or videos. Token “ownership” is recorded and tracked on a blockchain (a digital database that records data on a decentralized network of computers without the use of a central authority). In the future, supporters believe NFTs will be used as digital representations of physical items, such as a deed to a house or title to a car. NFTs are commonly used to record and represent ownership of an item, verify authenticity, and enable exchange. However, they do not necessarily reflect the legal ownership of an asset or grant copyright to a digital or physical item. NFT owners purchase only the right to the NFT’s blockchain metadata or “token,” not the underlying asset, unless otherwise specified in external contracts or terms and conditions. NFTs share many similarities with cryptocurrencies, and they are commonly bought and traded using cryptocurrency. Both NFTs and cryptocurrencies are built and tracked on blockchains, and they share much of the same customer and community base. However, cryptocurrencies are fungible, meaning interchangeable, whereas NFTs are unique and therefore non-fungible. Most users create and buy NFTs on dedicated NFT marketplaces. For a typical NFT, it is created or “minted” on a blockchain, auctioned off or sold at a fixed price on an NFT marketplace, and “stored”in the buyer’s digital wallet. Smart contracts (self-executing contracts or lines of computer code on a blockchain) can mint NFTs or transfer them from one owner to another. In combination, blockchains and smart contracts are the backbone of the NFT ecosystem…

Despite substantial market growth over the past two years, NFTs are still relatively nascent. In their current form, NFTs have implications in a variety of policy areas:
– Consumer protection. There are a number of risks to consumers in the NFT ecosystem, and some NFT marketplaces and digital wallets lack basic features to protect consumers from fraud and misleading or deceptive practices.
– Financial regulation. Depending on the purpose and use of NFTs, some NFTs and NFT platforms may fall under existing financial regulatory regimes and definitions.
– Copyright and intellectual property. The relationship between NFTs and the legal ownership of digital or physical property is unclear. Some existing regulations may impact NFT markets.
– Energy and environmental. Both minting and selling NFTs require substantial amounts of energy, which has raised concerns about their environmental impact…(More)”.