Results 111 to 120 of about 168,761 (284)

Sustainability‐Oriented Collaborations in Green Energy Markets Formation: A Configurational Analysis of Alliance Management Capabilities and Relational View

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Sustainability‐oriented collaborations are inter‐organisational arrangements where the competencies of multiple companies are pooled together to tackle environmental challenges. These collaborations differ from traditional strategic alliances in that they tackle complex goals amidst greater uncertainties that extend beyond economic performance,
Vittorio Maria Garibbo, Eleonora Annunziata, Francesco Rizzi, Marco Frey   +3 more
wiley   +1 more source

Towards Fair Graph Neural Networks via Counterfactual and Balance

Information
In recent years, graph neural networks (GNNs) have shown powerful performance in processing non-Euclidean data. However, similar to other machine-learning algorithms, GNNs can amplify data bias in high-risk decision-making systems, which can easily lead ...
Zhiguo Xiao, Yangfan Zhou, Dongni Li, Ke Wang   +3 more
doaj   +1 more source

Jargon alert : Counterfactual [PDF]

Economic ...
Renee Courtois
core  

Counterfactuals

Artificial Intelligence, 1986
The paper investigates properties of a non-standard implication \(>\) and its applications in Artificial Intelligence. Statements of the form \(p>q\) are called counterfactuals. Their interpretation does not necessarily coincide with the classic interpretation of \(p\supset q\) for those models \({\mathcal M}\) which satisfy \(\neg p\).
openaire   +1 more source

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao, David Roubaud, Mingzhi Zhang, Qianli Ma   +3 more
wiley   +1 more source

Ecosystems Disturbance Recovery: What It Was or What It Could Have Been?

Geophysical Research Letters
The time it takes for an ecosystem to recover from a disturbance is a key to environmental management. Conventionally, recovery is defined as a return to the pre‐disturbance state, assuming ecosystem stationarity.
Hamid Dashti, Min Chen, William K. Smith, Kaiguang Zhao, David J. P. Moore   +4 more
doaj   +1 more source

Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof‐of‐Concept for the Personalized Advantage Index

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Although a range of evidence‐based treatments for eating disorders exist, treatment response varies substantially. The ability to match individuals to a treatment which they are most likely to benefit from may help improve treatment efficiency and therapeutic outcomes.
Zoe McClure, Matthew Fuller‐Tyszkiewicz, Mariel Messer, Jake Linardon   +3 more
wiley   +1 more source

Algorithmic recourse in sequential decision-making for long-term fairness

Frontiers in Big Data
Long-term fairness in sequential decision-making is critical yet challenging, as decisions at each time step influence future opportunities and outcomes, potentially exacerbating existing disparities over time.
Francisco Gumucio, Lu Zhang
doaj   +1 more source

What Could Have Been: Predicted and Actual Exclusion by Potential Romantic Partners and Platonic Friends

European Journal of Social Psychology, EarlyView.
ABSTRACT Romantic partners are instrumental to more goals than friends, and therefore, people have more to lose when denied a romantic relationship than a friendship. We explored people's forecasted and experienced rejection by a potential romantic partner or friend.
Natasha R. Wood, Sydney G. Wicks, Adam J. Beam, Elijah P. Mudryk, Ellie Bray, Andrew H. Hales   +5 more
wiley   +1 more source

Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta‐analysis from ILAE Epilepsy Surgery Networks Task Force

Epilepsia, EarlyView.
Abstract Intracranial electroencephalographic (iEEG) connectivity analysis is a promising method to localize epileptic networks and guide surgical planning in focal drug‐resistant epilepsy. Despite numerous studies exploring its utility, the added value of iEEG connectivity over standard clinical presurgical evaluation remains unclear.
Nishant Sinha, Daniel J. Zhou, Victoria L. Morgan, Dario J. Englot, Leonardo Bonilha, Milan Brázdil, Xiaosong He, Riki Masumoto, Quy Cao, Terence J. O'Brien, Chengyuan Wu, Erik Kaestner, Carrie McDonald, Ezequiel Gleichgerrcht, Aileen McGonigal, Kathryn A. Davis   +15 more
wiley   +1 more source