scholarly journals Evaluierung des Netzwerks Altern. Endbericht.

2019 ◽  
Author(s):  
Brigitte Tiefenthaler

In 2015, the Federal Ministry of Education, Science and Research (BMBWF), together with the Federal Ministry of Transport, Innovation and Technology (BMVIT), the Austrian Research Promotion Agency (FFG) and other partners, founded the initiative "Strategic Networking Platforms in the Context of Major Societal Challenges", including such a platform on issues of demographic change. The BMBWF has commissioned the Austrian Platform for Interdisciplinary Ageing Issues(ÖPIA) with its implementation. The three-year BMBWF funding for the Ageing Network expired in mid-2019. Therefore, Department V/10 of the BMBWF commissioned Technopolis Group Austria to evaluate the Ageing Network. The aim of this evaluation was to form a basis for the decision on the further funding of the Network Ageing after the expiry of the current contract. To this end, we analysed and evaluated what has been achieved so far and developed recommendations for the future work of the Network Ageing. Translated with www.DeepL.com/Translator (free version)

2020 ◽  
Author(s):  
Brigitte Tiefenthaler

As part of the initiative "Strategic Networking Platforms in the Context of Major Societal Challenges", the BMBWF funded four networking platforms, starting in mid-2016: - Network Ageing - Ageing and Demographic Change as Challenge and Opportunity". - National networking platform for personalised medicine (ÖPPM) - National networking platform for "Sustainable Water Systems - National Networking Platform for "European and International Climate Agendas The three-year funding periods of these networking platforms will end in 2020 at the latest. Therefore, the EU and OECD Research Policy Division (Division V) responsible for the networking platforms OECD Research Policy (Department V/5) of the BMBWF commissioned Technopolis Group Austria to evaluate the National Networking Platforms of the BMBWF. The aim was to analyse what has been achieved so far and, on this basis, to develop recommendations for future work, both individually for each funded networking platform and for the design and management of the platform initiative itself by the BMBWF - with regard to the latter, the four funded networking platforms serve as pilot projects.


1997 ◽  
Vol 113 (12) ◽  
pp. 986-988
Author(s):  
Shozo MIZOGUCHI
Keyword(s):  

2019 ◽  
Vol 19 (1) ◽  
pp. 10-14
Author(s):  
Ryan Scott ◽  
Malcolm Le Lievre

Purpose The purpose of this paper is to explore insights methodology and technology by using behavioral to create a mind-set change in the way people work, especially in the age of artificial intelligence (AI). Design/methodology/approach The approach is to examine how AI is driving workplace change, introduce the idea that most organizations have untapped analytics, add the idea of what we know future work will look like and look at how greater, data-driven human behavioral insights will help prepare future human-to-human work and inform people’s work with and alongside AI. Findings Human (behavioral) intelligence will be an increasingly crucial part of behaviorally smart organizations, from hiring to placement to adaptation to team building, compliance and more. These human capability insights will, among other things, better prepare people and organizations for changing work roles, including working with and alongside AI and similar tech innovation. Research limitations/implications No doubt researchers across the private, public and nonprofit sectors will want to further study the nexus of human capability, behavioral insights technology and AI, but it is clear that such work is already underway and can prove even more valuable if adopted on a broader, deeper level. Practical implications Much “people data” inside organizations is currently not being harvested. Validated, scalable processes exist to mine that data and leverage it to help organizations of all types and sizes be ready for the future, particularly in regard to the marriage of human capability and AI. Social implications In terms of human capability and AI, individuals, teams, organizations, customers and other stakeholders will all benefit. The investment of time and other resources is minimal, but must include C-suite buy in. Originality/value Much exists on the softer aspects of the marriage of human capability and AI and other workplace advancements. What has been lacking – until now – is a 1) practical, 2) validated and 3) scalable behavioral insights tech form that quantifiably informs how people and AI will work in the future, especially side by side.


2021 ◽  
pp. 103530462110147
Author(s):  
Mark Dean ◽  
Al Rainnie ◽  
Jim Stanford ◽  
Dan Nahum

This article critically analyses the opportunities for Australia to revitalise its strategically important manufacturing sector in the wake of the COVID-19 pandemic. It considers Australia’s industry policy options on the basis of both advances in the theory of industrial policy and recent policy proposals in the Australian context. It draws on recent work from The Australia Institute’s Centre for Future Work examining the prospects for Australian manufacturing renewal in a post-COVID-19 economy, together with other recent work in political economy, economic geography and labour process theory critically evaluating the Fourth Industrial Revolution (i4.0) and its implications for the Australian economy. The aim of the article is to contribute to and further develop the debate about the future of government intervention in manufacturing and industry policy in Australia. Crucially, the argument links the future development of Australian manufacturing with a focus on renewable energy. JEL Codes: L50; L52; L78; O10; O13: O25; O44; P18; Q42


2014 ◽  
Vol 638-640 ◽  
pp. 2383-2387
Author(s):  
Tong Hua Mou ◽  
Fang Du

According to current research result on the meaning, foundation, and evaluation method of technological innovation of enterprise in Shenzhen, the character of the innovation can be summarized as: utilizing the demand of the current market as a guideline, cooperating with research centers and universities, applying most of the innovation in practice quickly. For the future work, the research could be focused on the factors which might affect the ability of technological innovation. Those factors could be either external such as external finance and government regulations, or it could be internal such as the size of the enterprise. At the same time it is necessary to establish the innovation and evaluation service system for small and medium sized enterprises (SMES).


2020 ◽  
Vol 110 (03) ◽  
pp. 108-112
Author(s):  
Simon Schumacher ◽  
Bastian Pokorni

Das Future Work Lab ist ein Innovationslabor für Arbeit, Mensch und Technik am Standort Stuttgart mit Fokus auf Künstlicher Intelligenz (KI) und vernetzter Arbeitsorganisation. Ein zentraler Bestandteil ist das Framework kognitive Produktionsarbeit 4.0, das als Referenzmodell für das Themenfeld Produktionsarbeit 4.0 dienen soll. Ein entsprechendes Konzept wurde in einem interdisziplinären Projektteam entwickelt. In diesem Beitrag wird das Grobmodell vorgestellt und die weitere Forschungsagenda präsentiert.   The Future Work Lab is an innovation lab for work, people and technology in Stuttgart, Germany with a focus on artificial intelligence and interconnected work organisation. A key component consists of the framework for cognitive production work 4.0, which will serve as a reference model for the research topics. A corresponding concept was developed in an interdisciplinary project team. In this article the raw model is introduced and the further research agenda is presented.


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