182 research outputs found

    Paradoxes in Fair Computer-Aided Decision Making

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    Computer-aided decision making--where a human decision-maker is aided by a computational classifier in making a decision--is becoming increasingly prevalent. For instance, judges in at least nine states make use of algorithmic tools meant to determine "recidivism risk scores" for criminal defendants in sentencing, parole, or bail decisions. A subject of much recent debate is whether such algorithmic tools are "fair" in the sense that they do not discriminate against certain groups (e.g., races) of people. Our main result shows that for "non-trivial" computer-aided decision making, either the classifier must be discriminatory, or a rational decision-maker using the output of the classifier is forced to be discriminatory. We further provide a complete characterization of situations where fair computer-aided decision making is possible

    Problematizing Strategic Alliance Research: Challenges, Issues and Paradoxes in the New Era

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    Strategic alliances have attracted substantial attention from industry and academia over the past three decades. However, due to rapid technological evolution, saturated marketplaces, globalisation of businesses on the one hand and de-globalisation of the market on the other (as marked by Brexit and the trade war between US and China, COVID-19 pandemic and the Ukraine war), the strategic environment of businesses is changing quickly. Fundamental and rapid changes in the wider environment necessitate the review of theoretical and practical insights of earlier and emerging studies – to examine the new challenges, issues and paradoxes of strategic alliances. This special issue attempts to provide a forum to allow researchers to question the assumptions underlying existing theory a little further beyond just “gap-spotting” or “gap-filling”. This special issue includes four very interesting literature review pieces, which venture deeper into the phenomenon, and explore the opportunities, issues and paradoxes of strategic alliances while adopting alternative theoretical perspectives, methodological approaches and interpretations to address issues of managing strategic alliances and maximising returns from them in the new strategic context

    An fMRI investigation of the effects of attempted naming on word retrieval in aphasia

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    In healthy controls, picture naming performance can be facilitated by a single prior exposure to the same picture ("priming"). This priming phenomenon is utilized in the treatment of aphasia, which often includes repeated picture naming as part of a therapeutic task. The current study sought to determine whether single and/or multiple exposures facilitate subsequent naming in aphasia and whether such facilitatory effects act through normal priming mechanisms. A functional magnetic resonance imaging paradigm was employed to explore the beneficial effects of attempted naming in two individuals with aphasia and a control group. The timing and number of prior exposures was manipulated, with investigation of both short-term effects (single prior exposure over a period of minutes) and long-term effects (multiple presentations over a period of days). Following attempted naming, both short-term and long-term facilitated items showed improvement for controls, while only the long-term condition showed benefits at a behavioral level for the participants with aphasia. At a neural level, effects of long-term facilitation were noted in the left precuneus for one participant with aphasia, a result also identified for the equivalent contrast in controls. It appears that multiple attempts are required to improve naming performance in the presence of anomia and that for some individuals with aphasia the source of facilitation may be similar to unimpaired mechanisms engaged outside the language network

    Patient preference for second- and third-line therapies in type 2 diabetes:a prespecified secondary endpoint of the TriMaster study

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    Patient preference is very important for medication selection in chronic medical conditions, like type 2 diabetes, where there are many different drugs available. Patient preference balances potential efficacy with potential side effects. As both aspects of drug response can vary markedly between individuals, this decision could be informed by the patient personally experiencing the alternative medications, as occurs in a crossover trial. In the TriMaster (NCT02653209, ISRCTN12039221), randomized double-blind, three-way crossover trial patients received three different second- or third-line once-daily type 2 diabetes glucose-lowering drugs (pioglitazone 30 mg, sitagliptin 100 mg and canagliflozin 100 mg). As part of a prespecified secondary endpoint, we examined patients’ drug preference after they had tried all three drugs. In total, 448 participants were treated with all three drugs which overall showed similar glycemic control (HbA1c on pioglitazone 59.5 sitagliptin 59.9, canagliflozin 60.5 mmol mol−1, P = 0.19). In total, 115 patients (25%) preferred pioglitazone, 158 patients (35%) sitagliptin and 175 patients (38%) canagliflozin. The drug preferred by individual patients was associated with a lower HbA1c (mean: 4.6; 95% CI: 3.9, 5.3) mmol mol−1 lower versus nonpreferred) and fewer side effects (mean: 0.50; 95% CI: 0.35, 0.64) fewer side effects versus nonpreferred). Allocating therapy based on the individually preferred drugs, rather than allocating all patients the overall most preferred drug (canagliflozin), would result in more patients achieving the lowest HbA1c for them (70% versus 30%) and the fewest side effects (67% versus 50%). When precision approaches do not predict a clear optimal therapy for an individual, allowing patients to try potential suitable medications before they choose long-term therapy could be a practical alternative to optimizing treatment for type 2 diabetes

    Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes:the TriMaster study

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    This is the author accepted manuscript. The final version is available from Nature Research via the DOI in this recordData availability: To minimize the risk of patient re-identification, de-identified individual patient-level clinical data are available under restricted access. Requests for access to anonymized individual participant data and study documents should be made to the corresponding author and will be reviewed by the Peninsula Research Bank Steering Committee. Access to data through the Peninsula Research Bank will be granted for requests with scientifically valid questions by academic teams with the necessary skills appropriate for the research. Data that can be shared will be released with the relevant transfer agreement.Code availability: Requests for access to code should be made to the corresponding author and will be reviewed by the Peninsula Research Bank Steering Committee. Access to code through the Peninsula Research Bank will be granted for requests with scientifically valid questions by academic teams with the necessary skills appropriate for the research. Code will be released by the lead statistician.Precision medicine aims to treat an individual based on their clinical characteristics. A differential drug response, critical to using these features for therapy selection, has never been examined directly in type 2 diabetes. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) > 30 kg/m2, compared to BMI ≤ 30 kg/m2, have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60-90 ml/min/1.73 m2, compared to eGFR >90 ml/min/1.73 m2, have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily added to metformin alone or metformin plus sulfonylurea. Overall, the achieved HbA1c was similar for the three drugs: pioglitazone 59.6 mmol/mol, sitagliptin 60.0 mmol/mol and canagliflozin 60.6 mmol/mol (P = 0.2). Participants with BMI > 30 kg/m2, compared to BMI ≤ 30 kg/m2, had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin (n = 356, P = 0.003). Participants with eGFR 60-90 ml/min/1.73 m2, compared to eGFR >90 ml/min/1.73 m2, had a 2.90 mmol/mol (95% CI: 1.19, 4.61) lower HbA1c on sitagliptin than on canagliflozin (n = 342, P = 0.001). There were 2,201 adverse events reported, and 447/525 (85%) randomized participants experienced an adverse event on at least one of the study drugs. In this precision medicine trial in type 2 diabetes, our findings support the use of simple, routinely available clinical measures to identify the drug class most likely to deliver the greatest glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .).Medical Research Council (MRC)National Institute for Health and Care Research (NIHR

    Dopamine and semantic activation: An investigation of masked direct and indirect priming

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    To investigate the effects of dopamine on the dynamics of semantic activation, 39 healthy volunteers were randomly assigned to ingest either a placebo (n = 24) or a levodopa (it = 16) capsule. Participants then performed a lexical decision task that implemented a masked priming paradigm. Direct and indirect semantic priming was measured across stimulus onset asynchronies (SOAs) of 250, 500 and 1200 ms. The results revealed significant direct and indirect semantic priming effects for the placebo group at SOAs of 250 ms and 500 ms, but no significant direct or indirect priming effects at the 1200 ms SOA. In contrast, the levodopa group showed significant direct and indirect semantic priming effects at the 250 ms SOA, while no significant direct or indirect priming effects were evident at the SOAs of 500 ins or 1200 ms. These results suggest that dopamine has a role in modulating both automatic and attentional aspects of semantic activation according to a specific time course. The implications of these results for current theories of dopaminergic modulation of semantic activation are discussed

    Agency theory and performance appraisal: how bad theory damages learning and contributes to bad management practice

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    Performance appraisal interviews remain central to how employees are scrutinised, rewarded and sometimes penalised by managers. But they are also often castigated as ineffective, or even harmful, to both individuals and organisations. Exploring this paradox, we highlight the influence of agency theory on the (mal)practice of performance appraisal. The performative nature of human resource management increasingly reflects an economic approach within which its practices are aligned with agency theory. Such theory assumes that actors are motivated mainly or only by economic self-interest. Close surveillance is required to eliminate the risk of shirking and other deviant behaviours. It is a pessimistic mind-set about people that undermines the supportive, co-operative and developmental rhetoric with which appraisal interviews are usually accompanied. Consequently, managers often practice appraisal interviews while holding onto two contradictory mind-sets, a state of Orwellian Doublethink that damages individual learning and organisational performance. We encourage researchers to adopt a more radical critique of appraisal practices that foregrounds issues of power, control and conflicted interests between actors beyond the analyses offered to date

    Does changing contexts affect linkages throughout the mergers and acquisition process? A multiphasic investigation of motives, pre‐ and post‐acquisition and performance

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    Mergers and Acquisitions (M&A) is an important organizational change phenomena that has attracted significant research focus to many of its aspects but only recently has attention begun to investigate its complex multi-phasic nature and its embeddedness in multiple contexts. So far the influence of the macro context in M&A deals has been little studied and its interaction with M&A’s multiphasic nature has been ignored. This article aims to address this limitation by investigating whether different macro-economic wave and non-wave periods of M&A activity influence different phases of M&A in terms of motives, pre- and post-acquisition processes and acquisition performances. Drawing on a dataset of Greek M&As, an under researched M&A context, findings suggest that acquisitions in non-wave periods are driven by different motives from those in wave periods. Interestingly though, we found no statistically significant changes in pre- and post-acquisition processes and M&A performance between wave and non-wave periods. We suggest this organizational change finding maybe due to the early stage nature of Greek M&A and may also apply to other countries with similar levels of M&A experience. Further implications for theory and practice of these findings are discusse

    Algorithms as folding:Reframing the analytical focus

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    This article proposes an analytical approach to algorithms that stresses operations of folding. The aim of this approach is to broaden the common analytical focus on algorithms as biased and opaque black boxes, and to instead highlight the many relations that algorithms are interwoven with. Our proposed approach thus highlights how algorithms fold heterogeneous things: data, methods and objects with multiple ethical and political effects. We exemplify the utility of our approach by proposing three specific operations of folding-proximation, universalisation and normalisation. The article develops these three operations through four empirical vignettes, drawn from different settings that deal with algorithms in relation to AIDS, Zika and stock markets. In proposing this analytical approach, we wish to highlight the many different attachments and relations that algorithms enfold. The approach thus aims to produce accounts that highlight how algorithms dynamically combine and reconfigure different social and material heterogeneities as well as the ethical, normative and political consequences of these reconfigurations
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