scholarly journals Machine learning and structural econometrics: contrasts and synergies

2020 ◽  
Vol 23 (3) ◽  
pp. S81-S124
Author(s):  
Fedor Iskhakov ◽  
John Rust ◽  
Bertel Schjerning

Summary We contrast machine learning (ML) and structural econometrics (SE), focusing on areas where ML can advance the goals of SE. Our views have been informed and inspired by the contributions to this special issue and by papers presented at the second conference on dynamic structural econometrics at the University of Copenhagen in 2018, ‘Methodology and Applications of Structural Dynamic Models and Machine Learning'. ML offers a promising class of techniques that can significantly extend the set of questions we can analyse in SE. The scope, relevance and impact of empirical work in SE can be improved by following the lead of ML in questioning and relaxing the assumption of unbounded rationality. For the foreseeable future, however, ML is unlikely to replace the essential role of human creativity and knowledge in model building and inference, particularly with respect to the key goal of SE, counterfactual prediction.

Episteme ◽  
2011 ◽  
Vol 8 (1) ◽  
pp. 1-5
Author(s):  
Mikkel Gerken ◽  
Jesper Kallestrup ◽  
Klemens Kappel ◽  
Duncan Pritchard

The articles in this special issue were selected from the 2010 Episteme conference, “Cognitive Ecology: The Role of the Concept of Knowledge in Our Social Cognitive Ecology”, which took place at the University of Edinburgh in June 2010. The overarching purpose of the conference was to explore our epistemic concepts – and the concept of knowledge in particular – from the perspective offered by a social cognitive ecology.


2018 ◽  
Vol 40 (1) ◽  
pp. 3-19
Author(s):  
Lucio Baccaro ◽  
Chiara Benassi ◽  
Guglielmo Meardi

This special issue wants to honour the memory of Giulio Regeni, a PhD student at the University of Cambridge who was assassinated while he was conducting field research on independent trade unions in Egypt. This introduction and the following articles focus on the theoretical, empirical and methodological questions at the core of Regeni’s research. Unions have traditionally been regarded as crucial for representing the interests of the working class as a whole and for building and sustaining industrial and political democracy; however, there is a debate about the conditions under which unions can be effective, and the role of unions’ internal democracy is particularly controversial. The article discusses the theoretical linkages between trade unions, democratization and union democracy and concludes with a reflection on the new concerns about the risk of conducting field research on these issues raised by Regeni’s death.


2018 ◽  
Vol 7 (2.4) ◽  
pp. 178
Author(s):  
Chandrasekhar Kumbhar ◽  
Dr S. S. Sridhar

Machine learning is a method of data analysis that automates analytical model building. These models help you to make a trend analysis of university placements data, to predict a placement rate for the students of an upcoming year which will help the university to analyze the performance during placements. Many students look at universities as a means of investment which can help them make a great future by getting placed in good companies and which will relieve their stress and unease from their lives before graduating from the university. The trend will also help in giving the companies reasons as to why they should visit university again and again. Some attributes play the very important role while analyzing the student for e.g. Student’s name, Department, Company, Location and Annual package. So, classification can help you to classify those data and clustering helps to make the clusters department wise. In this paper we have used neural networks to predict the upcoming student placement and got 77% of accuracy while testing were iteration are 1000. Through extensive trend analysis of varies complex data collected from different sources, we can demonstrate that our analysis can provide a good pragmatic solution for future placement of students. 


2016 ◽  
Vol 4 (2) ◽  
pp. 59-61
Author(s):  
Evinc Dogan ◽  
Ibrahim Sirkeci

In this special issue of Transnational Marketing Journal, we brought together a selection of articles drawn from presentations at the Taste of City Conference 2016: Food and Place Marketing which was held at the University of Belgrade, Serbia on 1st September 2016. We have supported the event along with Transnational Press London. We thank to Goran Petkovic, the Faculty of Economics at the University of Belgrade, and Goran’s volunteer students team who helped with the conference organisation. Mobilities are often addressed within social sciences varying across a wide range of disciplines including geography, migration studies, cultural studies, tourism, sociology and anthropology. Food mobilities capture eating, tasting, producing and consuming practices as well as traveling and transferring. Food and tastes are carried around the world, along the routes of mobility through out the history. As people take their own culture to the places, they take their food too. Food meets and mingles with other cultures on the way. Fusion food is born when food transcends the borders and mix with different ingredients from different culinary traditions. Although certain places are associated and branded with food, it is a challenging job to understand the role of food and taste in forming and reformulating the identity of places. 


1991 ◽  
Vol 69 (11) ◽  
pp. 1655-1655
Author(s):  
George P. Biro ◽  
David J. Parry

Canada's biomedical research community was deeply saddened by the untimely death of Graham Mainwood on June 10, 1990, after a brief but courageous battle with cancer.A native of Birmingham, U.K., Graham joined the Physiology Department at the fledgling Faculty of Medicine at the University of Ottawa in 1955. Since then, he has been a tireless force in building the reputation of the Department and of the Faculty. He became well known beyond Canada's borders for his studies on the electrophysiology and energetics of muscle and the mechanism of fatigue. His work on the effects of lactate flux and the role of changes in intracellular pH in muscle fatigue (e.g., Mainwood and Worsley-Brown 1975; Mainwood and Cechetto 1982; Renaud, Allard, and Mainwood 1986) is still cited in virtually every paper in this area. These studies, together with an ongoing interest in cardiac muscle, formed a natural platform from which he moved into the area of the elucidation of muscle metabolism by means of magnetic resonance spectroscopy–work he was actively pursuing up to the time of his death. Indeed, he had taken early retirement to be able to spend more time at the bench at the National Research Council of Canada. Three of the papers in this special issue arise from this work.All of us have been greatly touched by his sparkling intellect and generous helpfulness. We felt that the most appropriate way to recognize Graham's contributions to science and to our personal scientific development was to dedicate to his memory a special issue of the Journal which he served with distinction as a member of the Editorial Board for many years.


2016 ◽  
Vol 30 (3) ◽  
pp. 171-182 ◽  
Author(s):  
Todd Davey ◽  
Paul Hannon ◽  
Andy Penaluna

Despite the considerable political and academic interest in concepts such as the triple helix of government, business and higher education as well as entrepreneurship and entrepreneurial universities, relatively little has been written about the role of the university in developing entrepreneurship. More specifically, the questions of how the university can contribute through education, entrepreneurial support and network functions and be entrepreneurial in its endeavours have lacked academic focus and rigour, particularly in relation to fostering entrepreneurial mindsets. This introductory article therefore provides a thorough discussion of the role of the university in entrepreneurship and then summarizes the contribution to that debate of the articles in this special issue of Industry and Higher Education.


Journal ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 1-16
Author(s):  
Olivia Barnett-Naghshineh ◽  
Antony Pattathu

Here we open up the special issue with an introduction to the topic of decolonizing anthropology through the consideration of the emotionality of race, racism, and whiteness within the classroom and the discipline. Focusing on the European Classroom as a construct, we reflect on what the implications of decolonizing anthropology are for teaching the discipline, particularly in regard to the positionality of “European Others” (El Tayeb, 2011) as students and educators. While demands for structural changes in the discipline and the restructuring of canons and curriculums have been widely proposed, the role of affect and emotions in relation to colonialism, race, and whiteness in the decolonizing process have been addressed only marginally. We offer a contribution to the conversation through the focus on emotions, taking these as a form of knowledge and political action. Bringing together literatures on postcolonial studies, decolonial theory with critiques of anthropology, we suggest a space for thinking about the emotional dimensions of decolonization within the university and across disciplines and describe the contribution of each article included herein that show the power that comes from thinking critically about the emotionality of the classroom, and the role of emotions in reproducing colonial epistemics.


Author(s):  
Tara H. Abraham

This chapter contextualizes the 1943 paper by Warren McCulloch and Walter Pitts on the logic of neural activity through McCulloch’s emerging institutional roles at the University of Illinois at Chicago—both in psychiatry research and as an egalitarian mentor. His performance of this identity at a crucial stage in his career facilitated his turn to the more clinical aspects of brain organization as well as his model-building practices, which converged in his rhetoric of providing a foundational basis for the ever-expanding discipline of psychiatry. The chapter discusses the role of the Rockefeller Foundation and of Nicolas Rashevsky’s group in mathematical biophysics at the University of Chicago as key institutional contexts for McCulloch’s work with Pitts. Rather than simply a precursor to later work in artificial intelligence, their work signified a burgeoning practice of applying mathematics and logic to problems in the biomedical sciences, as well as continued fluidity between science, medicine, and philosophy.


2017 ◽  
Vol 23 (1) ◽  
pp. 1-12
Author(s):  
Sondra L. Hausner

This issue of Durkheimian Studies presents the collective efforts of the participants of a workshop held in late 2017, the centenary anniversary of Émile Durkheim’s death, at the University of Oxford. The articles that emerged from it, published together in this special issue for the first time along with some new material, demonstrate a continuation of classic Durkheimian themes, but with contemporary approaches. First, they consider the role of action in the production of society. Second, they rely on authors’ own ethnographies: the contributors here engage with Durkheimian questions from the data of their own fieldsites. Third, effervescence, one of Durkheim’s most innovative contributions to sociology, is considered in depth, and in context: how do societies sustain themselves over time? Finally, what intellectual histories did Durkheim himself draw upon – and how can we better understand his conceptual contributions in light of these influences?


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