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#quantitative

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Alpha1Nine :funkwhale: :sofia:

@SeaFury is looking for a job. Please boost this post for her. Thank you.

“Looking for a job. My dream job is in #quantitative #research. I am #specialised in climate data and #buildingscience, especially #mould and #condensation #simulation.

If I can’t find a job in this area, I can also #design (#architecture, #graphic, #web and #software) and #teach (architecture, #cad design).

I am also open to leaving my area of expertise for another field of research as I have a lot applicable skills. I am looking for work in #Sydney, #Canberra (woo!) or #Launceston. Will consider #Melbourne if it comes up. Boost me for eyeballs 👀 ❤️ #fediHire #JobSearch #climateData #climate #getfedihired” #introduction

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Estelle Platini

"Modern civilisation has a number of extremely delicate and highly interconnected components whose graceful degradation is effectively impossible."

It is "much easier to break things than to build them up. The government administrations of Britain, France and Germany for example, were set up at a time in the nineteenth century when the rising middle classes demanded a properly functioning state[…]. It took perhaps a generation for professional, neutral public services to fully emerge."

"Forty years of globalised neoliberalism have broken our societies, our economies and our political systems, and we no longer have the ability to put them back together."

braveneweurope.com/aurelien-th

Brave New Europe · Aurelien - The End? - Brave New EuropeThere must be some way out of here … surely? Cross-posted from Aurelien’s substack A scene from Samuel Beckett’s Endgame The original idea behind these essays when I started them three years ago, was that [...]
#civilService#statehood#bureaucracy
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💧🌏 Greg Cocks

Reading Material With Lunch, Etc – Getting Back To My Roots
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doi.org/10.4324/9780429270284 | Thornes, J. B., Brunsden, D. (1977). Geomorphology and time. London: Methuen
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I saw this book on another post - and so went and found a copy at a 2nd hand book shop…
Looking forward to lunches at work with a cup of tea and maybe a couple of rainy Sundays at home…
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#geomorphology #text #book #landforms #learning #refamiliarisation #readingforpleasure #framework #model #processes #geology #water #hydrology #weather #climate #erosion #time #spatialanalysis #spatiotemporal #temporal #qualitative #quantitative #change #stochastic #evolution

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Andy Aydın-Aitchison

Susan McVie, Prof of Quantitative #Criminology at University of Edinburgh researches a wide range of topics & invites PhD applications on:

*youth crime & justice
*violence & homicide
*developmental crim/criminal careers
*stop & search
*crime trends & patterns
*assaults against police
*policing & pandemic

research.ed.ac.uk/en/persons/s

University of Edinburgh Research ExplorerSusan McVie
#PhDChat#Research#Quantitative
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ma𝕏pool

The piranha problem: Large effects swimming in a small pond.
Christopher Tosh, Philip Greengard, Ben Goodrich, Andrew Gelman, @avehtari, @djhsu
2 Apr 2024
arxiv.org/abs/2105.13445

In a lot of social science research, small, random factors are reported as having large effects on social and political attitudes and behavior (social priming, hormonal levels,parental socioeconomic status, weather, ...). Studies have claimed to find large effects from these and other inputs.

The results show that it would be extremely unlikely to have all these large effects coexisting—they would have to almost exactly cancel each other out.

arXiv.orgThe piranha problem: Large effects swimming in a small pondIn some scientific fields, it is common to have certain variables of interest that are of particular importance and for which there are many studies indicating a relationship with different explanatory variables. In such cases, particularly those where no relationships are known among the explanatory variables, it is worth asking under what conditions it is possible for all such claimed effects to exist simultaneously. This paper addresses this question by reviewing some theorems from multivariate analysis showing that, unless the explanatory variables also have sizable dependencies with each other, it is impossible to have many such large effects. We discuss implications for the replication crisis in social science.
#socialScience#replicationCrisis#statistics
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Stephanie J Lahey, PhD

New #introduction: I’m the Mark Andrews Fellow in Book Science at OBNS (Old Books New Science) Lab, University of Toronto, and a #MedievalManuscripts scholar and cataloguer. My research mainly focuses on later #medieval European #manuscripts with an emphasis on scientific and #quantitative methods, #materiality, and provenance studies. 📚 📜 🔬 📊
#BookScience #codicology #palaeography #BookHistory #HeritageScience #parchment #DigitalHumanities #quant #statistics

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Didier Ruedin

I'm excited to announce a new publication by Lisa Borrelli and myself, out now in Comparative Migration Studies. We challenge our peers to be more precise with how we describe immigrants and their descendants, criticizing in particular the terms 'second generation' and 'migration background'. @sociology #immigration #terminology #quantitative #ethnicity
comparativemigrationstudies.sp

SpringerOpenTowards a precise and reflexive use of migration-related terminology in quantitative research: criticism and suggestions - Comparative Migration StudiesTo describe migration-related phenomena, we need to reflect on the terminology and choose the most adequate one that allows us to determine whether migration is the (main) cause of a phenomenon, a consequence, or even unrelated and misattributed. We argue that the use of such terminology in quantitative and experimental research is often flawed because of its differentiated adoption in legal, political, or scientific contexts. To illustrate our argument, we focus on two commonly used terms, ‘second generation’ and ‘migration background’ to show that in many situations these terms do not accurately describe the population we study. In part, the terms imply a false homogeneity, focus on deficits, and perpetuate differences regarding national belonging where there may be structural reasons and other aspects, such as social class, that lie at the heart of observed differences. With a particular focus on quantitative research, we use survey evidence and a principled literature search, to show that both researchers and the general population often identify immigrants in terms of ethnic origin — even though the term has its own pitfalls. We conclude that quantitative research should avoid reproducing state-created terminology and instead look beyond the strict field of immigration to consider other systems of classification like gender, ethnicity, language, or social class to reduce the negative attributes ascribed to non-citizens.
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Stephanie J Lahey, PhD

New #introduction: I’m Oschinsky Research Associate at Cambridge Univ Library, Fellow of Girton College, & a #MedievalManuscripts scholar & cataloguer. My research mainly focuses on later #medieval European #manuscripts with an emphasis on #quantitative methods, materiality, & provenance. I’m about to publish a book on #parchment & have started writing another on legal manuscripts. 📜🪶📚
#codicology #palaeography #BookHistory #LegalHistory #DigitalHumanities #quant #BookHistodons #Medievodons

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bethknazook

Do you need to learn how to anonymize your data? @mcgillu Digital Research Services Hub is hosting an online Data Anonymization workshop series this Oct that covers both #quantitative and #qualitative data. It looks amazing! 🙌 mcgill.ca/drs/channels/event/d

Digital Research Services HubData Anonymization Workshop SeriesThe McGill Digital Research Services Hub is delighted to invite all researchers and students to a series of online workshops on data anonymization, presented by national and international subject matter leading experts. This workshop series will provide attendees with an overview of data anonymization, as well as demonstrations of data anonymization tools for both qualitative and quantitative data. Topics include but are not limited to: What is data anonymization and why is it important What makes data anonymization so challenging How to anonymize data in practice Available tools and resources This online workshop series is free and open to all researchers – please register for sessions using the links below. All workshops will be presented in English with simultaneous French interpretation. For Quantitative Data: Title: Reducing risk: An introduction to data anonymization Topics: Sensitive data, risk of re-identification and common techniques for anonymization and de-identification with quantitative data Date: Tuesday October 3, 2023, 10:00am – 12:00 pm ET Presented by: Kristi Thompson, MLIS, Western University Registration: https://mcgill.zoom.us/meeting/register/tZMkceCpqDwvGt3kEdQq7ENmfy6REROcxR4S Title: ARX - Anonymising data in theory and practice Topics: Hands-on practical workshop on Open-Source, NIST recommended and internationally recognized anonymization tool (ARX) for quantitative data Date: Wednesday October 4, 2023, 10:00am – 12:00pm ET Presented by: Fabian Prasser, PhD, Berlin Institute of Health Registration: https://mcgill.zoom.us/meeting/register/tZUodOGsrDkrGdSx03f_AMfl_0iRhOZr1xlK For Qualitative Data: Title: Ethically sharing qualitative data Topics: Introduction to data de-identification best practices for qualitative data to enable ethical sharing Date: Tuesday October 17, 2023, 10:00am – 12:00pm ET Presented by: Sebastian Karcher, PhD, Syracuse University Registration: https://mcgill.zoom.us/meeting/register/tZwufuqtqjgvGN0Sf_VvS8k9Aw1QYeZJfjc5 Title: Qualitative data sharing: A roadmap and resources to facilitate responsible and ethical data sharing Topics: Introduction to data de-identification support tool (QDS Toolkit) for qualitative data using nature language processing pipeline for de-identifying text-based research materials Date: Wednesday October 18, 2023, 10:00am – 12:00pm ET Presented by: Jessica Mozersky, PhD, Washington University in St. Louis; Sara Britt, MPH, University of Michigan; Aditi Gupta, PhD, Washington University in St. Louis Registration: https://mcgill.zoom.us/meeting/register/tZUuc-qqrjwiHtd7gWdiXRWTDfhVm7TFuqFe If you have questions about this workshop series, please reach out to our team at drs@mcgill.ca. Participant consent: Any person who attends any of the McGill Data Anonymization Workshops grants permission to McGill University to film, record and publish their participation in such workshops. As part of this workshop series, participants in the workshops are recorded, and the footage may be edited, streamed, archived, broadcast, and otherwise retained by McGill University and made available to the public with a CC-BY 4.0 license. By participating in this workshop, participant consents to McGill University performing these actions, and agrees to hold harmless McGill University and its affiliates, members, trustees, agents, officers, contractors, volunteers and employees against any and all legal claims arising out of, by reason of, or caused by the performance of these actions or other use or distribution of any footage. Collaboration and support: This workshop series is led by McGill’s Digital Research Services Hub in collaboration with Western University Libraries and the Digital Research Alliance of Canada, and supported in part by funding from the Social Sciences and Humanities Research Council Connection Grant.
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Estelle Platini

Julie #Billaud: Administrative techniques devised to engage parties to a conflict "are changing as a result of external sources of pressure for ‘evidence-based programming’, turning personalised case-based monitoring into a new form of ‘audit culture’ based on statistical evidence. Paradoxically, relying on numbers to realise the utopia of ‘humanising war’ makes the very ‘humans’ who are supposed to benefit from it disappear from view."
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researchgate.net/publication/3 @ethics @sociology #RedCross #conflict #bureaucracy #humanitarian #quantification #technocracy #quantitative

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