The Rise of Academic Innovationism

Author(s):  
Steven Brint

This chapter discusses the analytical contrast between the two systems for organizing research and education, the system of academic professionalism and the system of academic innovationism. Under the impetus of academic innovationism, universities became more porous to the outside world and reciprocal relations of knowledge exchange grew denser. On balance, the new system contributed significantly and positively to the research prowess of universities. But it has also yielded a spotty record—some extraordinary successes but also many short-lived, troubled collaborations. Some universities invested heavily in the infrastructure to foster academic innovation and had little to show for their investments. For research universities, the challenge for the future will be to expand the possibilities to contribute more to the national innovation effort.

2013 ◽  
Vol 706-708 ◽  
pp. 733-736
Author(s):  
Fang Li

It is very difficult to confirm the position of the center of gravity irregular object.This paper introduces a new system,which can be used in measuring and adjusting of the center of gravity.The irregular object was put on the support parts,then the center of gravity was given.When the actual position was compared with the ideal position,the difference was given. Until actual position and ideal position were coincided,the machining was continuing. Matlab was programmed in this measure system. It will be applied widely in the future.


2011 ◽  
pp. 234-248
Author(s):  
Enid Mumford

Participative systems design has, in the past, been seen as a positive group process of thinking through needs and problems and arriving at solutions for making the situation better. This improved situation then continues until new technology or new solutions provide an opportunity for making the situation better still. So far this book has concentrated on how to make the best use of the positive factors assisting change, especially change that involves the introduction and use of technology. It has described the importance of getting a clear understanding of the change problem and its complexity, of developing effective strategies to address this complexity, and of the creation of structures, often organizational, to facilitate the subsequent use of the new system. This last requires always keeping in mind the need to meet the dual objectives of achieving operating efficiency and a good quality of working life. This is often described as job satisfaction. Most of all there has been a continual stress on the importance of participation. This involves sharing the design tasks with those who will be affected by them and taking account of their opinions in design decisions. This chapter addresses the reverse of this positive objective. It considers the negative factors in a change situation which are likely to cause problems and to threaten the success of the change programme and of the new system. There are very many of these kinds of problems and it is only possible to discuss a few here. The ones I have selected are criminal threats which affect the future viability of the company, technical problems which reduce efficiency, unpleasant and stressful work that threatens employee health, and problems of morale which affect the individual’s happiness in the workplace. A consideration of negative factors brings us into the challenging areas of uncertainty and risk. Uncertainty is when we do not know what is going to happen and often contains an element of surprise. This is especially true today when so many decisions depend on forecasts of the future. A contributing factor here can be an overemphasis on the present as a means of forecasting the future. Uncertainty is also often a result of the behaviour of others rather than of events. This is hard to predict. Experts tell us that today we are living in a risk society (Beck, 1992). Complex design problems can have a high degree of uncertainty and easily become risks. They often have a subjective element, for what one person considers a problem or a risk, another will see as an opportunity. Complex problems also require information for their solution and this may be difficult to find. It requires the ability to search for, analyse and synthesise, relevant intelligence and relate it to past, current and future events. Threats to important institutions from terrorists are of a different nature and scale to those that have been experienced before. Many will take us completely by surprise. Bernstein (1996) suggests that the essence of risk management lies in maximising the areas which we have some control over while minimising those areas where we have no control over the outcome and the linkage between cause and effect is hidden. When we take a risk we are making a bet that a particular outcome will result from the decision we have made although we have no certainty that this will happen. Risk management usually starts with risk analysis, which attempts to establish and rank the most serious risks to be avoided so far as these are known. Here many companies attempt to achieve a balance between the benefits of greater security and the costs involved. Too high a level of security, while providing good protection, can result in a system that is both difficult to use and expensive to operate (Mumford, 1999). Risk analysis next moves on to risk assessment. This is an analysis of the seriousness of different risks by determining the probability and potential damage of each one. For example, major risks can come from a large concentration of data in one place that is accessed by many different people, not all of whom are known. There can be relationships between risks. Clifford Stoll’s (1990) book The Cuckoo’s Egg shows how the ability of a German hacker to enter a university laboratory computer made it possible for him to later enter into the computers of United States military bases. Risk analysis identifies the risks; risk assessment tries to estimate how likely they are to happen and how serious the consequences will be. Risk priorisation recognises that all companies cannot be protected from all risks and choices must be made. Risk impact is the likely magnitude of the loss if a system break-in, fraud or other serious problem occurs. Risk control involves further actions to reduce the risk and to trigger further defensive actions if a very serious problem occurs. Risk control also covers the monitoring of risk on a regular basis to check that existing protection is still effective. This can lead to risk reassessment. Very serious risks such as those coming from terrorist attack or criminal activity require monitoring. This, together with the detailed documentation of any problems or illegal activities when they occur, is essential to avoid complacency. An effective system must both prevent problems and detect when they have occurred. All of these activities to design security into a system require human vigilance if they are to be effective. All employees should accept some responsibility for checking that the system they work with continues to maintain its integrity and security. This chapter will place its main focus on protective problem solving and design directed at avoiding or minimising very serious risks. Today, it is unwise for managers to neglect this. Because of its growth in recent years and its prevalence today criminal activity will be examined first in some detail. Particular attention will be paid to how the involvement of employees in problem solving can play a part in reducing or avoiding this.


Author(s):  
Daniel Dustin ◽  
Rachel Collins ◽  
Jeremy Schultz ◽  
Laurie Browne ◽  
Keri Schwab ◽  
...  

2019 ◽  
Vol 46 (1A) ◽  
pp. 99-103 ◽  
Author(s):  
R.S. Tubbs

ABSTRACT Many guidelines for agronomic management of peanut (Arachis hypogaea L.) are well-established when considered individually. However, crop productivity is typically driven by more than one variable and the interactions of multiple practices are not as easily derived. With an ever-changing availability of new cultivars with greater disease resistance, improved yield and/or grade potential, and varying growth characteristics, there is a steady need for agronomic research in both the immediate and distant futures. In some cases, traditional agronomic experimentation on variables such as rotations, tillage and land management, timing of planting, row pattern and spacing, seeding rate, irrigation, plant growth regulators, inoculant/biological products and fertilization need to be revisited every several years when a new cultivar becomes commercially relevant. This is especially true with differing climates and soil types in various growing regions. The effects of climate and weather along with pest pressure, pest management programs, and maturity characteristics of cultivars are also drawing the attention of peanut agronomists to improve predictability of optimum maturity. Yet, peanut agronomists are also attempting to adapt new ideas to assist with management decisions and increase revenue potential for growers to stay competitive in a very volatile commodity market domestically and with fluctuating export opportunities. The adoption of technologies such as GPS guidance, seed monitors, aerial imagery, and variable rate planting or spraying equipment are becoming more common to assist growers with better precision in planting and digging practices, ensuring proper seed placement, and assessing problematic areas in the field for site-specific in-season management decisions. So many excellent achievements have been made through the collaborations of scientists of the American Peanut Research and Education Society over the last 50 years, and there is no doubt that similar collaborations remain strong throughout the current membership to lead us into the future.


2002 ◽  
Vol 101 (656) ◽  
pp. 267-270 ◽  
Author(s):  
Dru Gladney

Not unlike Hong Kong (which under the one-country, two-systems formula continues to fly its own flag), the unique situation in Xinjiang calls for dramatic and creative solutions. The future of this region, which the American sinologist Owen Lattimore once called the ‘pivot of Asia,’ depends on it.


2020 ◽  
Vol 33 (6) ◽  
pp. 537-539
Author(s):  
David A Ellwood ◽  
Vicki J Flenady

1987 ◽  
Vol 52 (3) ◽  
pp. 577-581 ◽  
Author(s):  
Mitsuhiro Okada

Buchholz [4] simplified the system of ordinal notations of the Schütte school (cf. [12]), by using the notion of collapsing functions (cf. [5]). In this paper we give a simple relationship between Buchholz's new system of ordinal notations and Takeuti's system of ordinal diagrams. From this simple relationship it turns out that the structures of these two systems are very close.We give two systems OT(I) (§1) and OT(I, A) (§2) of ordinal notations which are considered generalizations of Buchholz's original system, where I and A are well-ordered sets. The original system OT of Buchholz [4] is OT(ω + 1, {0}) in our sense. Here the set OT(I) of ordinal notations is defined as a subset of the set Od(I) of ordinal diagrams in [6], and the set OT(I, A) of ordinal notations as a subset of the set O(I, A) of ordinal diagrams in [14].


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