Name Your Industry—or Else!


Essay by Sarah M. Brownsberger on “The dehumanizing way economics data describes us”: “…My alma mater wants to know what industry I belong to. In a wash of good feeling after seeing old friends, I have gone to the school website to update my contact information. Name and address, easy, marital status, well and good—but next comes a drop-down menu asking for my “industry.”

In my surprise, I have an impulse to type “Where the bee sucks, there suck I!” But you can’t quote Shakespeare in a drop-down menu. You can only opt only for its options.

The school is certainly cutting-edge. Like a fashion item that you see once and assume is aberrant and then see ten times in a week, the word “industry” is all over town. Cryptocurrency is an industry. So are Elvis-themed marriages. Outdoor recreation is an industry. A brewery in my city hosts “Industry Night,” a happy hour “for those who work in the industry”—tapsters and servers.

Are we all in an industry? What happened to “occupation”?…(More)”.

When Farmland Becomes the Front Line, Satellite Data and Analysis Can Fight Hunger


Article by Inbal Becker-Reshef and Mary Mitkish: “When a shock to the global food system occurs—such as during the Russian invasion of Ukraine in 2022—collecting the usual ground-based data is all but impossible. The Russia–Ukraine war has turned farmland into the front lines of a war zone. In this situation, it is unreasonable to expect civilians to walk onto fields riddled with land mines and damaged by craters to collect information on what has been planted, where it was planted, and if it could be harvested. The inherent danger of ground-based data collection, especially in occupied territories of the conflict, has demanded a different way to assess planted and harvested areas and forecast crop production.

Satellite-based information can provide this evidence quickly and reliably. At NASA Harvest, NASA’s Global Food Security and Agriculture Consortium, one of our main aims is to use satellite-based information to fill gaps in the agriculture information ecosystem. Since the start of the Russia–Ukraine conflict, we have been using satellite imagery to estimate the impact of the war on Ukraine’s agricultural lands at the request of the Ministry of Agrarian Policy and Food of Ukraine. Our work demonstrates how effective this approach can be for delivering critical and timely insights for decisionmakers.

Prior to the war, Ukraine accounted for over 10% of the world’s wheat, corn, and barley trade and was the number one sunflower oil exporter, accounting for close to 50% of the global market. In other words, food produced in Ukraine is critical for its national economy, for global trade, and for feeding millions across the globe…(More)”.

Regulating AI Deepfakes and Synthetic Media in the Political Arena


Report by Daniel Weiner and Lawrence Norden: “…Part I of this resource defines the terms deepfakesynthetic media, and manipulated media in more detail. Part II sets forth some necessary considerations for policymakers, specifically:

  • The most plausible rationales for regulating deepfakes and other manipulated media when used in the political arena. In general, the necessity of promoting an informed electorate and the need to safeguard the overall integrity of the electoral process are among the most compelling rationales for regulating manipulated media in the political space.
  • The types of communications that should be regulated. Regulations should reach synthetic images and audio as well as video. Policymakers should focus on curbing or otherwise limiting depictions of events or statements that did not actually occur, especially those appearing in paid campaign ads and certain other categories of paid advertising or otherwise widely disseminated communications. All new rules should have clear carve-outs for parody, news media stories, and potentially other types of protected speech.
  • How such media should be regulated. Transparency rules — for example, rules requiring a manipulated image or audio recording to be clearly labeled as artificial and not a portrayal of real events — will usually be easiest to defend in court. Transparency will not always be enough, however; lawmakers should also consider outright bans of certain categories of manipulated media, such as deceptive audio and visual material seeking to mislead people about the time, place, and manner of voting.
  • Who regulations should target. Both bans and less burdensome transparency requirements should primarily target those who create or disseminate deceptive media, although regulation of the platforms used to transmit deepfakes may also make sense…(More)”.

Can GovTech really rebuild trust through public innovation?


Article by the World Economic Forum: “Entrepreneurial civil servants, creative bureaucracies, agile stability, digital state.

These terms sound like oxymorons, yet they are foundational to tackling the world’s complex societal challenges. And these ideas are already becoming a reality in some parts of the world. Introducing what will become one of the biggest software markets in the world: government technology or GovTech.

GovTech is about applying digitization and emerging technologies, such as artificial intelligence (AI), advanced sensing, blockchain, advanced data processing etc., to improve the delivery of public services by increasing efficiency, lowering costs and creating entirely new public value.

The sector is estimated to be worth over $1 trillion by 2028 and is critical to making public services more efficient, effective and accessible for citizens. It will be the key to the government’s ability to deliver outcomes and build and sustain trust in a context of increasing contestation and rising expectations from digitally native citizens…(More)”.

10 Examples of Successful African e-Government Digital Services


Article by Wayan Vota: “African countries are implementing a diverse range of e-Government services, aiming to improve service delivery, enhance efficiency, and promote transparency. For example, common e-Government services in African countries include:

  • Online Government Portals: African countries are increasingly offering online services such as e-taxation, e-payment, and e-billing through online government portals, which allow citizens to access public services more efficiently and provide governments with prompt feedback on service quality.
  • Digital Identity Initiatives: Many African countries are working on digital identity initiatives to improve service delivery, including the introduction of national IDs with biometric data components to generate documents and provide services automatically, reducing paperwork and enhancing efficiency.
  • G2G, G2B, and G2C Activities: e-Government services to different groups, like Government-to-Government (G2G), Government-to-Business (G2B), and Government-to-Citizen (G2C) focuses on activities such as electoral processes, staff payroll payments, healthcare management systems, support for small businesses, and transparent procurement procedures…

Successful eGovernment initiatives in African countries have significantly improved government services and citizen engagement. These examples are part of a broader trend in Africa towards leveraging digital technologies to improve governance and public administration, with many countries making significant implementation progress…(More)”.

Do disappearing data repositories pose a threat to open science and the scholarly record?


Article by Dorothea Strecker, Heinz Pampel, Rouven Schabinger and Nina Leonie Weisweiler: “Research data repositories, such as Zenodo or the UK Data Archive, are specialised information infrastructures that focus on the curation and dissemination of research data. One of repositories’ main tasks is maintaining their collections long-term, see for example the TRUST Principles, or the requirements of the certification organization CoreTrustSeal. Long-term preservation is also a prerequisite for several data practices that are getting increasing attention, such as data reuse and data citation.

For data to remain usable, the infrastructures that host them also have to be kept operational. However, the long-term operation of research data repositories is challenging, and sometimes, for varying reasons and despite best efforts, they are shut down….

In a recent study we therefore set out to take an infrastructure perspective on the long-term preservation of research data by investigating repositories across disciplines and types that were shut down. We also tried to estimate the impact of repository shutdown on data availability…

We found that repository shutdown was not rare: 6.2% of all repositories listed in re3data were shut down. Since the launch of the registry in 2012, at least one repository has been shut down each year (see Fig.1). The median age of a repository when shutting down was 12 years…(More)”.

Missing Evidence : Tracking Academic Data Use around the World


Worldbank Report: “Data-driven research on a country is key to producing evidence-based public policies. Yet little is known about where data-driven research is lacking and how it could be expanded. This paper proposes a method for tracking academic data use by country of subject, applying natural language processing to open-access research papers. The model’s predictions produce country estimates of the number of articles using data that are highly correlated with a human-coded approach, with a correlation of 0.99. Analyzing more than 1 million academic articles, the paper finds that the number of articles on a country is strongly correlated with its gross domestic product per capita, population, and the quality of its national statistical system. The paper identifies data sources that are strongly associated with data-driven research and finds that availability of subnational data appears to be particularly important. Finally, the paper classifies countries into groups based on whether they could most benefit from increasing their supply of or demand for data. The findings show that the former applies to many low- and lower-middle-income countries, while the latter applies to many upper-middle- and high-income countries…(More)”.

Are we entering a “Data Winter”?


Article by Stefaan G. Verhulst: “In an era where data drives decision-making, the accessibility of data for public interest purposes has never been more crucial. Whether shaping public policy, responding to disasters, or empowering research, data plays a pivotal role in our understanding of complex social, environmental, and economic issues. In 2015, I introduced the concept of Data Collaboratives to advance new and innovative partnerships between the public and private sectors that could make data more accessible for public interest purposes. More recently, I have been advocating for a reimagined approach to data stewardship to make data collaboration more systematic, agile, sustainable, and responsible.

We may be entering a “Data Winter”

Despite many advances toward data stewardship (especially during Covid19) and despite the creation of several important data collaboratives (e.g., the Industry Data for Society Partnership) the project of opening access to data is proving increasingly challenging. Indeed, unless we step up our efforts in 2024, we may be entering a prolonged data winter — analogous to previous Artificial Intelligence winters, marked by reduced funding and interest in AI research, in which data assets that could be leveraged for the common good are instead frozen and immobilized. Recent developments, such as a decline in access to social media data for research and the growing privatization of climate data, along with a decrease in open data policy activity, signify a worrying trend. This blog takes stock of these developments and, building on some recent expert commentary, raises a number of concerns about the current state of data accessibility and its implications for the public interest. We conclude by calling for a new Decade of Data — one marked by a reinvigorated commitment to open data and data reuse for the public interest…(More)”.

The New Knowledge


Book by Blayne Haggart and Natasha Tusikov: “From the global geopolitical arena to the smart city, control over knowledge—particularly over data and intellectual property—has become a key battleground for the exercise of economic and political power. For companies and governments alike, control over knowledge—what scholar Susan Strange calls the knowledge structure—has become a goal unto itself.

The rising dominance of the knowledge structure is leading to a massive redistribution of power, including from individuals to companies and states. Strong intellectual property rights have concentrated economic benefits in a smaller number of hands, while the “internet of things” is reshaping basic notions of property, ownership, and control. In the scramble to create and control data and intellectual property, governments and companies alike are engaging in ever-more surveillance.

The New Knowledge is a guide to and analysis of these changes, and of the emerging phenomenon of the knowledge-driven society. It highlights how the pursuit of the control over knowledge has become its own ideology, with its own set of experts drawn from those with the ability to collect and manipulate digital data. Haggart and Tusikov propose a workable path forward—knowledge decommodification—to ensure that our new knowledge is not treated simply as a commodity to be bought and sold, but as a way to meet the needs of the individuals and communities that create this knowledge in the first place…(More)”.

Data Science for Social Impact in Higher Education:  First Steps


Data.org playbook: “… was designed to help you expand opportunities for social impact data science learning. As you browse, you will see a range of these opportunities including courses, modules for other courses, research and internship opportunities, and a variety of events and activities. The playbook also offers lessons learned to guide you through your process. Additionally, the Playbook includes profiles of students who have engaged in data science for social impact, guidance for engaging partners, and additional resources relating to evaluation and courses. We hope that this playbook will inspire and support your efforts to bring social impact data science to your institutions…

As you look at the range of ways you might bring data science for social impact to your students, remember that the intention is not for you to replicate what is here, but rather adapt them to your local contexts and conditions. You might draw pieces from several activities and combine them to create a customized strategy that works for you. Consider the assets you have around you and how you might be able to leverage them. At the same time, imagine how some of the lessons learned might reflect barriers you might face, as well. Most importantly, know that it is possible for you to create data science for social impact at your institution to bring benefit to your students and society…(More)”.