Rethinking Research Partnerships: Discussion Guide and Toolkit

In recent years, there has been a drive towards research collaboration between academics and international non-governmental organisations (INGOs). These new partnerships offer exciting opportunities to improve learning and practice in international development, leading to innovation and deepened understandings of the world and, ultimately, a better impact on poverty eradication. However, they also present considerable challenges. How do organisations with different structures, goals and interests collaborate? Can they work together productively around these differences? What tensions exist and what is the impact of these? How is power distributed and which voices are amplified or lost in the process? This guide does not seek to answer these questions, but offers a way of exploring them. It is aimed at people and organisations that are considering embarking on a research collaboration, or are already working in partnership. It introduces some of the key issues that arise when working collaboratively, and suggests tools and activities to help you to critically reflect on them. The guide is aimed at those at the forefront of these partnerships – academics, INGO staff and their respective institutions. However, the content will also be of relevance to funders and others seeking to support or encourage collaborative research approaches. This guide is a toolkit for critical reflection, rooted in the idea that research partnerships must be entered into with care. Attention needs to be given to contexts, power relations and the different interests involved in order to successfully deliver truly collaborative knowledge generation that serves everyone’s interests. The risks are real – partnerships without serious considerations of the power dynamics risk reaffirming certain interests and voices and marginalising others, particularly those already experiencing structural disadvantage, undermining the real benefit that these partnerships can bring. In addition, they can end up placing unfunded and unsupported burdens on particular individuals or organisations, and reinforce existing structures that constrain the intended learning and growth

Academic Research as a Career

The real student in science — with a consuming curiosity into the laws of nature and with top scholastic status — may be of the caliber required to become the recognized authority in some fiel

Description of TaSkR Sessions

Support this workshop is provided by grant #R25TW006070 from the Fogarty International Center at the National Institutes of Health

Doctoral Education and Academic Research (in India)

[Excerpt] The state of doctoral education and academic research in India is poor and the country has scant representation among the world’s great universities. The decline has happened in spite of early achievements. Reasons behind this are complex and defy easy explanations. Several probable causes in terms of resources / facilities / opportunities granted to Ph.D. students, faculty quality, financial resources, academic leadership and other issues are explored and some suggestions for improvement are provided

Academic Research Report on Lever Style Inc.

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.CLW_2008_Report_China_academic_research.pdf: 42 downloads, before Oct. 1, 2020

Sparse arrays of signatures for online character recognition

In mathematics the signature of a path is a collection of iterated integrals, commonly used for solving differential equations. We show that the path signature, used as a set of features for consumption by a convolutional neural network (CNN), improves the accuracy of online character recognition---that is the task of reading characters represented as a collection of paths. Using datasets of letters, numbers, Assamese and Chinese characters, we show that the first, second, and even the third iterated integrals contain useful information for consumption by a CNN. On the CASIA-OLHWDB1.1 3755 Chinese character dataset, our approach gave a test error of 3.58%, compared with 5.61% for a traditional CNN [Ciresan et al.]. A CNN trained on the CASIA-OLHWDB1.0-1.2 datasets won the ICDAR2013 Online Isolated Chinese Character recognition competition. Computationally, we have developed a sparse CNN implementation that make it practical to train CNNs with many layers of max-pooling. Extending the MNIST dataset by translations, our sparse CNN gets a test error of 0.31%.Comment: 10 pages, 2 figure

ACADEMIC RESEARCH, SOCIAL INTERACTIONS AND ECONOMIC GROWTH

-

Freedom, Anarchy and Conformism in Academic Research

In this paper I attempt to make a case for promoting the courage of rebels within the citadels of orthodoxy in academic research environments. Wicksell in Macroeconomics, Brouwer in the Foundations of Mathematics, Turing in Computability Theory, Sraffa in the Theories of Value and Distribution are, in my own fields of research, paradigmatic examples of rebels, adventurers and non-conformists of the highest caliber in scientific research within University environments. In what sense, and how, can such rebels, adventurers and non-conformists be fostered in the current University research environment dominated by the cult of 'picking winners'? This is the motivational question lying behind the historical outlines of the work of Brouwer, Hilbert, Bishop, Veronese, Gödel, Turing and Sraffa that I describe in this paper. The debate between freedom in research and teaching, and the naked imposition of 'correct' thinking, on potential dissenters of the mind, is of serious concern in this age of austerity of material facilities. It is a debate that has occupied some of the finest minds working at the deepest levels of foundational issues in mathematics, metamathematics and economic theory. By making some of the issues explicit, I hope it is possible to encourage dissenters to remain courageous in the face of current dogmasNon-conformist research, economic theory, mathematical economics, 'Hilbert's Dogma', Hilbert's Program, computability theory