Cognitive Science as a New People Science for the Future of Work

Curated on Posted on by Stefaan Verhulst

Brief by Frida Polli et al: “The notion of studying people in jobs as a science—in fields such as human resource management, people analytics, and industrial-organizational psychology—dates back to at least the early 20th century. In 1919, Yale psychologist Henry Charles Link wrote, “The application of science to the problem of employment is just beginning to receive serious attention,” at last providing an alternative to the “hire and fire” methods of 19th-century employers. A year later, prominent organizational theorists Ordway Teal and Henry C. Metcalf claimed, “The new focus in administration is to be the human element. The new center of attention and solicitude is the individual person, the worker.” The overall conclusion at the time was that various social and psychological factors governed differences in employee productivity and satisfaction….This Brief Proceeds in Five Sections:

● First, we review the limitations of traditional approaches to people science. In particular, we focus on four needs of the modern employer that are not satisfied by the status quo: job fit, soft skills, fairness, and flexibility.

● Second, we present the foundations of a new people science by explaining how advancements in fields like cognitive science and neuroscience can be used to understand the individual differences between humans.

● Third, we describe four best practices that should govern the application of the new people science theories to real-world employment contexts.

● Fourth, we present a case study of how one platform company has used the new people science to create hiring models for five high-growth roles.● Finally, we explain how the type of insights presented in Section IV can be made actionable in the context of retraining employees for the future of work….(More)”.

Predictive Policing and Artificial Intelligence

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Book edited by John McDaniel and Ken Pease: “This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions.

AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges.

Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing….(More)”.

Rising to the Challenge: how to get the best value from using prizes to drive innovation for development

Curated on Posted on by Stefaan Verhulst

Report by Cheryl Brown, Catherine Gould, Clare Stott: “An innovation inducement prize enables funders to pursue development goals without them having to know in advance which approaches or participants are most likely to succeed. Innovation prizes also often directly engage with the intended beneficiaries or those connected with them, in solving the problems.

At a time when development spending is under increasing pressure to show value for money (VFM), innovation prizes are considered as an alternative to mainstream funding options. While costs are likely to have accrued through prize design and management, no cash payments are made until the prize is successfully awarded. The funder may anticipate obtaining more results than those directly paid for through the prize award.

The purpose of this report is to answer two questions: do innovation prizes work for development, and if so, when do they offer value over other forms of funding?

To date, few evaluations have been published that would help funders answer these questions for themselves. DFID commissioned the Ideas to Impact programme, which was delivered by an IMC Worldwide-led consortium and evaluated by Itad, to fill this gap by testing a range of innovation prizes targeted at different development issues and this report synthesises the findings from the evaluations and follow-up reviews of six of these prizes….(More)”.

OECD Science, Technology and Innovation Outlook

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OECD: “…the COVID-19 crisis has triggered an unprecedented mobilisation of the science and innovation community. Public research agencies and organisations, private foundations and charities, and the health industry have set up an array of newly funded research initiatives worth billions of dollars in record time. Science is the only exit strategy from COVID-19.

Science and innovation have played essential roles in providing a better understanding of the virus and its transmission, and in developing hundreds of candidate therapeutics and vaccines over a very short period. Digital technologies have enabled large parts of the economy and society to continue to function, mitigating the impact of COVID-19. The pandemic has underscored more than in other recent crises the importance of science and innovation to being both prepared and reactive to upcoming crises….

The world is still in the midst of the COVID-19 crisis and many uncertainties remain….At the same time, many governments view the pandemic as a stark reminder of the need to transition to more sustainable, equitable and resilient societies. This is highlighted in many countries’ recovery packages, which include expenditures for R&D. Science and innovation will be essential to promote and deliver such transitions, but the pandemic has exposed limits in research and innovation systems that, if not addressed, will prevent this potential from being realised.

There is therefore a need to re-set STI policies to better equip governments with the instruments and capabilities to direct innovation efforts towards the goals of sustainability, inclusivity and resiliency.

1. Policy needs to be able to guide innovation efforts to where they are most needed. This has implications for how governments support research and innovation in firms, which account for about 70% of R&D expenditures in the OECD. The business R&D support policy mix has shifted in recent decades towards a greater reliance on tax compared to direct support instruments such as contracts, grants or awards. While effective for incentivising businesses to innovate, R&D tax incentives are indirect, untargeted and tend to generate incremental innovations. Well-designed direct measures for R&D are potentially better suited to supporting longer-term, high-risk research, and targeting innovations that either generate public goods (e.g. in health) or have a high potential for knowledge spillovers. Governments need to revisit their policy portfolios to ensure an appropriate balance between direct and indirect measures.

2. The multifaceted nature of addressing complex problems like COVID-19 and sustainability transitions underscores the need for transdisciplinary research to which current science system norms and institutions are ill-adapted. Disciplinary and hierarchical structures need to be adjusted to enable and promote transdisciplinary research that engages different disciplines and sectors to address complex challenges.

3. Governments should link support for emerging technologies, such as engineering biology and robotics, to broader missions like health resilience that encapsulate responsible innovation principles. The responsible innovation approach seeks to anticipate problems in the course of innovation and steer technology to best outcomes. It also emphasises the inclusion of stakeholders early in the innovation process.

4. Reforming PhD and post-doctoral training to support a diversity of career paths is essential for improving the ability of societies to react to crises and to deal with future challenges like climate change that require science-based responses. Reforms could also help relieve the precarity of early-career researchers, many of whom are employed on short-term contracts with no clear prospect of a permanent academic position. The crisis has also highlighted the need for academia to train and embrace a new cohort of digitally skilled research support professionals and scientists.

5. Global challenges require global solutions that draw on international STI co-operation. The development of COVID-19 vaccines has benefited from nascent global R&D preparedness measures, including agile technology platforms that can be activated as new pathogens emerge. The pandemic has created momentum to establish effective and sustainable global mechanisms to support the range and scope of R&D necessary to confront a wider range of global challenges. However, governments need to build trust and define common values to ensure a level playing field for scientific co-operation and an equitable distribution of its benefits.

6. Governments need to renew their policy frameworks and capabilities to fulfil a more ambitious STI policy agenda. Increasing policy emphasis on building resilience, which calls for policy agility, highlights the need for governments to acquire dynamic capabilities to adapt and learn in the face of rapidly changing environments. Engaging stakeholders and citizens in these efforts will expose policymakers to diverse knowledge and values, which should contribute to policy resilience. Governments should also continue to invest in evidence about their STI support policies with a view to improving them….(More)”.

How data analysis can enrich the liberal arts

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The Economist: “…The arts can indeed seem as if they are under threat. Australia’s education ministry is doubling fees for history and philosophy while cutting those for stem subjects. Since 2017 America’s Republican Party has tried to close down the National Endowment for the Humanities (neh), a federal agency, only to be thwarted in Congress. In Britain, Dominic Cummings—who until November 2020 worked as the chief adviser to Boris Johnson, the prime minister—advocates for greater numeracy while decrying the prominence of bluffing “Oxbridge humanities graduates”. (Both men studied arts subjects at Oxford.)

However, little evidence yet exists that the burgeoning field of digital humanities is bankrupting the world of ink-stained books. Since the neh set up an office for the discipline in 2008, it has received just $60m of its $1.6bn kitty. Indeed, reuniting the humanities with sciences might protect their future. Dame Marina Warner, president of the Royal Society of Literature in London, points out that part of the problem is that “we’ve driven a great barrier” between the arts and stem subjects. This separation risks portraying the humanities as a trivial pursuit, rather than a necessary complement to scientific learning.

Until comparatively recently, no such division existed. Omar Khayyam wrote verse and cubic equations, Ada Lovelace believed science was poetical and Bertrand Russell won the Nobel prize for literature. In that tradition, Dame Marina proposes that all undergraduates take at least one course in both humanities and sciences, ideally with a language and computing. Introducing such a system in Britain would be “a cause for optimism”, she thinks. Most American universities already offer that breadth, which may explain why quantitative literary criticism thrived there. The sciences could benefit, too. Studies of junior doctors in America have found that those who engage with the arts score higher on tests of empathy.

Ms McGillivray says she has witnessed a “generational shift” since she was an undergraduate in the late 1990s. Mixing her love of mathematics and classics was not an option, so she spent seven years getting degrees in both. Now she sees lots of humanities students “who are really keen to learn about programming and statistics”. A recent paper she co-wrote suggested that British arts courses could offer basic coding lessons. One day, she reckons, “It’s going to happen…(More)”.

Embracing Innovation in Government: Public Provider versus Big Brother

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The fourth report in this series by the OECD: “…explores the powerful new technologies and opportunities that governments have at their disposal to let them better understand the needs of citizens. The research shows that governments must balance the tensions of using data harvesting and monitoring, and technologies that can identify individuals, to serve the public interest, with the inevitable concerns and legitimate fears about “big brother” and risks of infringing on freedoms and rights. Through the lens of navigating Public Provider versus Big Brother, innovation efforts fall into two key themes:

Theme 1: Data harvesting and monitoring

Governments have access to more detailed data than ever before, but such access involves risks and considerations which require serious reflection on the part of government.

Theme 2: Biometric technologies and facial recognition

A range of biometric tools offer opportunities to provide tailored services, as well as the unprecedented ability to identify and track individuals’ behaviours and movements….(More)”.

Court Rules Deliveroo Used ‘Discriminatory’ Algorithm

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Gabriel Geiger at Motherboard: “An algorithm used by the popular European food delivery app Deliveroo to rank and offer shifts to riders is discriminatory, an Italian court ruled late last week, in what some experts are calling a historic decision for the gig economy. The case was brought by a group of Deliveroo riders backed by CGIL, Italy’s largest trade union. 

A markedly detailed ordinance written by presiding judge Chiara Zompi gives an intimate look at one of many often secretive algorithms used by gig platforms to micromanage workers and which can have profound impacts on their livelihoods. 

While machine-learning algorithms are central to Deliveroo’s entire business model, the particular algorithm examined by the court allegedly was used to determine the “reliability” of a rider. According to the ordinance, if a rider failed to cancel a shift pre-booked through the app at least 24 hours before its start, their “reliability index” would be negatively affected. Since riders deemed more reliable by the algorithm were first to be offered shifts in busier timeblocks, this effectively meant that riders who can’t make their shifts—even if it’s because of a serious emergency or illness—would have fewer job opportunities in the future….(More)”

Steering through capability

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Paper by Geoff Mulgan: ‘… shows why governments should steer and how they can show the way for our societies to overcome the transformational challenges that they are facing in the current century, from the climate crisis to aging populations.

The paper’s focus is on “steering through capability” – not using only tools of downward control, but rather enhancing the capabilities and problem-solving skills of other tiers of government, citizens and businesses. To do this, the paper describes how governments can combine direction with experimentation, linking multiple partners through so called ‘constellations’; showing how these can be supported by ‘intelligence assemblies’ that orchestrate rapid learning and mobilization of data, and the curation of knowledge commons. These are summarized in to five keys for the future of steering – potent tools for any government seeking to lead our societies through the challenges ahead….(More)”.

Enhancing Government Effectiveness and Transparency: The Fight Against Corruption

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Report by The World Bank: “… has undertaken a fresh assessment of challenges governments face in tackling corruption, what instruments tend to work and why, and how incremental progress is being achieved in specific country contexts. This flagship report shows positive examples of how countries are progressing in their fight against corruption. It is part of a series of initiatives being led by the Equitable Growth, Finance & Institutions (EFI) Vice Presidency to reaffirm the Bank’s commitment to anticorruption. The report follows the Anticorruption Initiatives completed last December. It also informs our pending work on the Bank’s Anticorruption Action Plan – on how we will be implementing anticorruption work going forward.

The report draws on the collective experts of staff across the World Bank to develop ways for enhancing the effectiveness of anti-corruption strategies in selected sectors and through targeted policy instruments. It covers issues, challenges and trends in five key thematic areas: Public Procurement; Public Infrastructure; State Owned Enterprises; Customs Administration; and Delivery of Services in selected sectors. The report also focuses on cross-cutting themes such as transparency, citizen engagement and Gov-tech; selected tools to build integrity; and the role and effectiveness of anticorruption agencies, tax and audit administrations, and justice systems. It features a country case study on Malaysia that traces the history of a country’s anti-corruption efforts over the last few decades…(More)”.

“European Digital Sovereignty”: Successfully Navigating Between the “Brussels Effect” and Europe’s Quest for Strategic Autonomy

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Paper by Theodore Christakis: “This Study discusses extensively the concept of “European Digital Sovereignty”. It presents the opportunities opened by the concept but also the risks and pitfalls. It provides a panorama of the major debates and developments related to digital/cyber issues in Europe. Here is the Executive Summary of the Study:

“The Times They Are A-Changin”. When Jean-Claude Juncker, then President of the European Commission, proclaimed in 2018 that “The Hour of European Sovereignty” had come, half of Europe criticized him, recalls Paul Timmers. Today hardly a day goes by in Europe, without a politician talking about “digital sovereignty”.

From a purely normative point of view, the concept makes little sense. It can only further accentuate the classic confusion surrounding the use of the term “sovereignty”, which is one of the most equivocal terms in legal theory and which has been criticized by a famous scholar for often being nothing more than “a catchword, a substitute for thinking and precision”. Still, from a political point of view, “European digital sovereignty” is an extremely powerful concept, broad and ambiguous enough to encompass very different things and to become a “projection surface for a wide variety of political demands”.

This study analyses in a detailed way the two understandings of the term: sovereignty as regulatory power; and, sovereignty as strategic autonomy and the ability to act in the digital sphere without being restricted to an undesired extent by external dependencies. While doing so, this study presents a panorama of the most recent le-gislative proposals (such as the Data Governance Act) and the most important debates on digital issues currently taking place at the European level: 5G deployment and cybersecurity concerns; international data transfers and foreign governments’ access to data after SchremsII; cloud computing; the digital services tax; competition law; content moderation; artificial intelligence regulation; and so many others….(More)”.