27 papers · ranked by Valyu relevance
Karolina Lobczowska, Anna Banik, Piotr Romaniuk, Sarah Forberger + 11 more
'Thomas Kubiak' 'Biljana Meshkovska' 'Agnieszka Neumann-Podczaska' 'Krzysztof Kaczmarek' 'Marie Scheidmeir' 'Janine Wendt' 'Daniel A. Scheller' 'Katarzyna Wieczorowska-Tobis' 'Juergen M. Steinacker' 'Hajo Zeeb' 'Aleksandra Luszczynska'] Background Policy frameworks focusing on policy implementation may vary in terms of…
Michelle M. Haby, Ludovic Reveiz, Rebekah Thomas, Helen Jordan
Evidence-informed policymaking emphasizes that policy decisions should be informed by the best available evidence from research and follow a systematic and transparent approach. For public health policymaking we can learn from existing practices of transparent, evidence-informed decision-making for clinical practice…
Solomon Arulraj David
Policy science and practice around the world, including educational policies, are dominated by popular, extreme approaches such as market-orientated approaches at one end and critical argumentative approaches at the other end. This study therefore aims to manoeuvre a middle way to propose a dialogical and progressive…
Shegaw Anagaw Mengiste, Konstantinos Antypas, Marius Rohde Johannessen, Jörn Klein + 1 more
'Marius Rohde Johannessen' 'Jörn Klein' 'Gholamhossein Kazemi'] Background Low and lower middle-income countries suffer lack of healthcare providers and proper workforce education programs, a greater spread of illnesses, poor surveillance, efficient management, etc., which are addressable by a central policy framework…
Shuze Liu, Atsushi Kikumoto, David Badre, Samuel J. Gershman
Making context-dependent decisions incurs cognitive costs. Cognitive control studies have investigated the nature of such costs from both computational and neural perspectives. In this paper, we offer an information-theoretic account of the costs associated with context-dependent decisions. According to this account…
Isobel Stanley, Celine Murrin
Theories of agenda-setting analysis consist of understanding the policy context, economic conditions and resource provision, norm promotion and focusing events, all leading to policy windows. Most frameworks included an element of these theories. For example, policy frameworks such as the ‘Health Policy Triangle’(72)…
Paulo Carvao, Claudio Mayrink Verdun, Isabel Adler, Jeffrey Zhou
This paper introduces a policy analysis framework for systematic, transparent assessment of AI governance proposals in an evolving and contested regulatory landscape. AI policy debates often collapse into binary positions that obscure underlying tradeoffs and normative assumptions. The framework structures policy…
Charles Mountifield
This paper reviews some mainstream meso-level policy analysis frameworks widely applied in sport. There is, however, an absence of consensus for an established framework for analysing sport policy in general and, instead, techniques emanating from other fields of study have been relied upon. The resultant approach to…
Jonah W. Brenner, Chenguang Li, Gabriel Kreiman
Nervous systems learn representations of the world and policies to act within it. We present a framework that uses reward-dependent noise to facilitate policy opti- mization in representation learning networks. These networks balance extracting normative features and task-relevant information to solve tasks. Moreover…
Mohammad Hossein Azin, Hessam Zandhessami
This paper introduces a novel visual mapping methodology for assessing strategic alignment in national artificial intelligence policies. The proliferation of AI strategies across countries has created an urgent need for analytical frameworks that can evaluate policy coherence between strategic objectives, foresight…
Juan I. Baeza
Historically healthcare services have largely developed on an incremental basis, with various piecemeal changes and some notable policy leaps that illustrate a punctuated equilibrium health policy process. More recently policy-makers have attempted, successfully and unsuccessfully, to reconfigure healthcare services to…
Samodha Pallewatta, Muhammad Ali Babar
as Code Authors: ['Samodha Pallewatta' 'Muhammad Ali Babar'] Abstract. IoT application providers increasingly use MicroService Architecture (MSA) to develop applications that convert IoT data into valuable information. The independently deployable and scalable nature of microservices enables dynamic utilization of edge…
Authors not listed
In the United States, people of color are disproportionately and unjustly exposed to air pollution. Historically, environmental policy has emphasized aggregate emission reductions; yet major emission reduction scenarios do not sufficiently mitigate relative exposure disparities. Here, we show that without focusing on…
Qian Yang, Richmond Y. Wong, Steven J. Jackson, Sabine Junginger + 3 more
'Margaret Hagan' 'Thomas Krendl Gilbert' 'John Zimmerman'] Policies significantly shape computation's societal impact, a crucial HCI concern. However, challenges persist when HCI professionals attempt to integrate policy into their work or affect policy outcomes. Prior research considered these challenges at the…
Richard F. Betzel, Joshua Faskowitz, Bratislav Mišić, Olaf Sporns + 1 more
Network models of communication, e.g. shortest paths, diffusion, navigation, have become useful tools for studying structure-function relationships in the brain. These models generate estimates of communication efficiency between all pairs of brain regions, which can then be linked to the correlation structure of…
Laura Angresius, Milena Büchs, Alessia Greselin, Daniel W. O’Neill
wellbeing initiatives Authors: ['Laura Angresius' 'Milena Büchs' 'Alessia Greselin' 'Daniel W. O’Neill'] Providing wellbeing for all while safeguarding planetary boundaries may require governments to pursue "post-growth" policies. Previous empirical studies of sustainable wellbeing initiatives investigating enablers of…
Leijie Wang, Nicolas Vincent, Julija Rukanskaitė, Amy X. Zhang
Internet users have formed a wide array of online communities with diverse community goals and nuanced norms. However, most online platforms only offer a limited set of governance models in their software infrastructure and leave little room for customization. Consequently, technical proficiency becomes a prerequisite…
Quentin Groom, Melanie De Nolf, Lina M. Estupinan-Suarez, Sofie Meeus
Taxonomy is a cornerstone of biological science and essential to biodiversity policy, yet it faces persistent structural challenges collectively known as the “taxonomic impediment”. These include limited capacity, uneven geographic and taxonomic coverage, and a disconnect between the supply of expertise and its…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Adriana Bankston, Amy Ralston, Joanne Ly, Harinder Singh
Scientists must play a significant role in enacting societal change by educating and advising policymakers on relevant policy topics. To fill the identified gap in science policy and advocacy training, during the pandemic years, we piloted and offered the online Science Policy & Advocacy for STEM Scientists Certificate…
Deirdre Ahern
Foresight, Regulatory Experimentation and Regulatory Learning Authors: ['Deirdre Ahern'] With the rapid pace of technological innovation, traditional methods of policy formation and legislating are becoming conspicuously anachronistic. The need for regulatory choices to be made to counter the deadening effect of…
Gwendolyn Bogard, Erin Saybolt, Moraima Castro-Faix, Adriana Bankston
Diverse pathways into the science policy workforce are necessary for providing opportunities to students at all levels to engage in the field and to bring their talents to the future of policymaking. Both classroom and experiential training opportunities are essential to achieving this goal. In this publication, we…
Authors not listed
Low carbon fuel policies such as the U.S. Renewable Fuel Standard (RFS), Canada Clean Fuel Regulations (CFR), and California Low Carbon Fuel Standard (LCFS) as well as the 45Z tax credit are intended to reduce greenhouse gas (GHG) emissions from transportation. Cellulosic feedstocks, optimized biorefineries, and…
Authors not listed
Deriving versatile and robust mechanistic models from experimental data is a key challenge in engineering and natural sciences. This is especially true in chemical reaction engineering, where reactor manufacturers and operators increasingly pursue the development and maintenance of digital twins that rely on frequent…
Authors not listed
Tools quantifying co-pollutant and public health benefits of decarbonization policies typically have coarse resolution, limiting understanding of local impacts and underestimating benefits. We present the New York Community-Scale Health and Air Pollution Policy Analysis tool, a new high resolution modeling framework to…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Libby Koolik, Álvaro Alvarado, Amy Budahn, Laurel Plummer + 2 more
As policymakers increasingly focus on environmental justice, a key question is whether emissions reductions aimed at addressing air quality or climate change can also ameliorate persistent air pollution exposure disparities. We examine evidence from California's aggressive vehicle emissions control policy from…