26,302 research outputs found
Dynamics of Network Formation Processes in the Co-Author Model
No full textThis article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.Dynamics, Network, Game Theory, Model,Simulation, Equilibrium, Complexity
TERN AusPlots Forest Monitoring Network - Forest Fuel Survey, 2014-2015
No full text1) Fuel and grass height measurements:The height of fuel (litter or woody fuels) and grass above the mineral soil are measured at eighteen points along the transect (nine 10 cm increments from each 7.0 m and 22.0 m) using a builders' ruler [see Manual]. <br> 2) Woody fuel counts : Woody fuels were measured in four size classes [(1) 0-6 mm; (2) 6-25 mm; (3) 25-76 mm; and (4) >76 mm] at varying scales along the 28.3 m transect. Woody fuels were measured as counts of vertical planar intercepts. Size classes (1) and (2) were counted along two 2 m sub-transects between 6-8 m and 20-22 m. Size class (3) is counted in two 4m sub-transects between 5-9 m and 19-23 m. Size class (4) is counted along the entire 28.3 m transect. The diameter at intercept is also recorded for size class (4), as well as the estimated diameter of the hollow centre (if present) [see Manual].<br> 3)Fine litter, grass, herbs and vines measurement: The projective cover and mass of fine litter, grass, herbs and vines were recorded separately from two 1x1 m quadrats at 7-8 m and 22-21 m along the transect. A representative sample of each component from the site was collected, taken to the lab, weighed, dried to a constant weight at 70°C and re-weighed to estimate moisture content [see Manual]. <br> 4) Duff depth measurement : The depth of duff (where present) was recorded from two soil cores per 1 x 1 m quadrat, totalling 16 across the site [see Manual]. <br> 5) Soil Sampling: Soil samples were collected from 1 x 1 m quadrats, with four 10 cm soil cores being collected from each transect (two from each quadrat). Soil cores were bulked for each transect, kept in a cooler bag during the day, and dried in an oven for 48 hours at 105 degrees celsius on return to the lab. <br> 6) Installation of litterfall traps: The litterfall traps used for the TERN AusPlots Forest Monitoring Network sites are 0.75 x 0.75 m in dimension and have an input area of 0.56 m2. Four litterfall traps were placed across the site. One corner of the litterfall trap aligned with a steel dropper. The frame for each litterfall trap has constructed from 32mm diameter PVC pipe, including four 57 cm lengths and four 6.8 cm lengths (which form the sides), and four 47 cm lengths (which form the legs). These are joined with four right-angle elbow joins and four T- joins. The net for the litterfall trap was manufactured from a 1.8 x 1.8 m piece of shadecloth, which has splits along each side through which the side lengths of PVC pipe were threaded. The frame was assembled and secured with PVC cement solvent on- site. The legs have pre-drilled holes at the base, and have been pinned to the ground using tent pegs.<br> 7) Installation of temperature and humidity data loggers : Three iButton data loggers have been installed at each site. Two are Thermochron DS1922L, which record temperature at four-hourly intervals, and one is a Hygrochron DS1923, which records both temperature and humidity at four-hourly intervals. iButtons have been attached to plastic fobs, which were wired on to the top of a steel dropper and placed inside the yellow safety cap.<p><b>Credit</b><br/>We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.<b>Purpose</b><br/><p>The TERN AusPlots Forest Monitoring Network aims to establish a continental scale plot based monitoring network that improves our understanding of tree growth, forest productivity and carbon dynamics in tall eucalypt forests in relation to continental scale environmental gradients. This permanent plot network provides the infrastructure and data for tracking all aspects of forest dynamics over long periods of time. Between October 2014 and March 2015, fuel load surveys were conducted in the 48 large 1-ha Ausplots Forest Monitoring Network plots in mature, highly productive tall eucalypt forests across the Australian continent. </p>
<p>
TERN AusPlots is a plot-based surveillance monitoring program, undertaking baseline assessments of ecosystems across the country. The aim of AusPlots is to establish and maintain a national network of plots that enables consistent ecological assessment and ongoing monitoring. The AusPlots network collects a range of field data for integration with other existing data sources and current knowledge.Progress Code: completedMaintenance and Update Frequency: notPlanned<p>The dataset comprises well-designed survey data from the first fuel load survey across 192 transects within the 48 AusPlots Forests, 1-ha monitoring plots across Australia. Data includes: [1] Site identifiers (ID and Site Name) and site- or transect- specific notes from the fuel survey campaign; [2] Transect survey dates; [3] Transect photograph numbers and attributes (Bearing, Slope and Aspect); [4] Fuel measurements (Grass and Litter height; Duff depth; Fine Woody fuel counts and Coarse Woody fuel counts and diameter; Projective cover for biomass components (Grass, Litter, Herbs, Vines and Shrubs), and Mass of biomass components (Grass, Litter, Herbs and Vines)); [5] Moisture content for biomass components (Grass, Litter, Herbs and Vines).</p>
Descriptions of the data and coding protocols used in the database are explained in (a) the database itself; (b) the explanatory file attached to this dataset and (c) the Ausplots Forest Monitoring Network Manual. The protocols and coding used in this module are drawn directly from international forest fuel survey protocols and are consistent with other Australian forest fuel inventory methodologies.</p>
For site-level aggregation of the data, please see the following record: <a data-fr-linked="true" href="https://portal.tern.org.au/metadata/TERN/1dd61f70-7fc8-495f-8c88-823e2834b10b">https://portal.tern.org.au/metadata/TERN/1dd61f70-7fc8-495f-8c88-823e2834b10b</a></p>
Interplay between network configurations and network governance mechanisms in supply networks a systematic literature review
No full textPurpose: This work systematically reviews the extant academic management literature on supply networks. It specifically examines how network configurations and network governance mechanisms influence each other in supply networks.
Design: 125 analytical and empirical studies were identified using an evidence-based approach to review the literature mainly published between 1985 and 2012.
Synthesis: Drawing on a multi-disciplinary theoretical foundation, this work develops an integrative framework to identify three distinct yet interdependent themes that characterize the study of supply networks: a) Network Configurations (structures and relationships); b) Network Governance Mechanisms (formal and informal); and c) The Interplay between Network Configurations and Network Governance Mechanisms.
Findings: Network configurations and network governance mechanisms mutually influence each other and cannot be considered in isolation. Formal and informal governance mechanisms provide better control when used as complements rather than as substitutes. The choice of governance mechanism depends on the nature of exchange; role of management; desired level of control; level of flexibility in formal contracts; and complementary role of formal and informal governance mechanism.
Research implications: This nascent field has thematic and methodological research opportunities for academics. Comparative network analysis using longitudinal case studies offers a rich area for further study.
Practical Implications: The complexity surrounding the conflicting roles of managers at the organisation and network levels poses a significant challenge during the development and implementation stage of strategic network policies.
Originality/value: This review reveals that formal and informal governance mechanisms provide better control when used as complements rather than as substitutes
AEKOS Subset: Australian Plant Frequency and Cover, 2017
No full textAEKOS Data Portal Extraction: The download was achieved by clicking "search" on AEKOS (www.aekos.org.au) home page and clicking "Add all results to data cart" on the 'search results' page. To complete download, the themes "Individual-Plants" and "Vegetation-Populations" were selected. The download package contains site location files, separate data files for individual and population levels, citation details for individual surveys and notes on data themes in the download.<p><b>Credit</b><br/>We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.<b>Purpose</b><br/>The data package was generated by TERN in response to a request by Dr. Jens Oldeland, Hamburg to investigate methodological differences in diversity indices using different measures for the parameters.Progress Code: completedMaintenance and Update Frequency: notPlanned<p>The dataset contains raw records on the frequency and % cover of Australian plant species stored in TERN's AEKOS as at 23 February 2017. There is information on basal area data in addition.The data includes plant records for the following datasets: [1] Australian Ground Cover Reference Sites Database, [2] Biological Survey of South Australia - Vegetation Survey - Biological Database of South Australia, [3] Atlas of NSW database: VIS flora survey module, [4] Queensland CORVEG Database, [5] TERN AusPlots Rangelands, [6] Transects for Environmental Monitoring and Decision Making (TREND) (2013-present) and the [7] TREND-Biome of Australia Soil Environments (BASE). </p>
Soil samples for physical structure and chemical analysis (14 sites) throughout Australia were also incorporated in addition (starting 2013). The sites were: [1] AusCover Supersites SLATS Star Transects, [2] Biological Survey of the Ravensthorpe Range (Western Australia), [3] Biological Survey of South Australia - Roadside Vegetation Survey, [4] Biological Database of South Australia, [5] South-Western Australian Transitional Transect (SWATT), [6] Koonamore Vegetation Monitoring Project (1925-present), [7] Desert Ecology Research Group Plots (1990-2011) and Long Term Ecological Research Network (2012-2015), Simpson Desert, [8] Western Queensland, Australia (plants only) and [9] the TERN AusPlots Forest Monitoring Network - Large Tree Survey - 2012-2015. In total, 97,035 sites were extracted and downloaded for individual and population levels. The download package contains site location files, separate data files for individual and population levels, citation details for individual surveys and notes on how to interpret the download
Co-authorship Network of Scientometrics Research Collaboration
No full textThis paper examines the co-authorship network in the field of scientometrics using social network analysis techniques with the aim of developing an understanding of research collaboration in this scientific community. Using co-authorship data from 3125 articles published in the journal Scientometrics with a time span of more than three decades (1980-2012), we construct an evolving co-authorship network and calculate three centrality measures (closeness, betweenness, and degree) for 3024 authors, 1207 institutions, 68 countries and 22 academic fields in this network. This paper also discusses the usability of centrality measures in author ranking, and suggests that centrality measures can be useful indicators for impact analysis. Findings revealed that scientometrics was not dominated by a couple of key researchers as quite a significant number of popular researchers were identified. The United States occupies the topmost position in all measures except for degree centrality. The most active, central and collaborative academic discipline in scientometrics is Information & Library Science
TERN Ausplots Forest Monitoring Network - Forest Fuel Survey, 2014-2016
No full text1) Fuel and grass height measurements : The height of fuel (litter or woody fuels) and grass above the mineral soil are measured at eighteen points along the transect (nine 10 cm increments from each 7.0 m and 22.0 m) using a builders’ ruler [see Manual]. <br> 2) Woody fuel counts: Woody fuels were measured in four size classes [(1) 0-6 mm; (2) 6-25 mm; (3) 25-76 mm; and (4) >76 mm] at varying scales along the 28.3 m transect. Woody fuels were measured as counts of vertical planar intercepts. Size classes (1) and (2) were counted along two 2 m sub-transects between 6-8 m and 20-22 m. Size class (3) is counted in two 4m sub-transects between 5-9 m and 19-23 m. Size class (4) is counted along the entire 28.3 m transect. The diameter at intercept is also recorded for size class (4), as well as the estimated diameter of the hollow centre (if present) [see Manual]. <br> 3) Fine litter, grass, herbs and vines measurement: The projective cover and mass of fine litter, grass, herbs and vines were recorded separately from two 1x1 m quadrats at 7-8 m and 22-21 m along the transect. A representative sample of each component from the site was collected, taken to the lab, weighed, dried to a constant weight at 70°C and re-weighed to estimate moisture content [see Manual]. <br> 4) Duff depth measurement: The depth of duff (where present) was recorded from two soil cores per 1 x 1 m quadrat, totalling 16 across the site [see Manual]. <br> 5) Soil Sampling : Soil samples were collected from 1 x 1 m quadrats, with four 10 cm soil cores being collected from each transect (two from each quadrat). Soil cores were bulked for each transect, kept in a cooler bag during the day, and dried in an oven for 48 hours at 105 degrees celsius on return to the lab. <br> 6) Installation of litterfall traps: The litterfall traps used for the TERN AusPlots Forest Monitoring Network sites are 0.75 x 0.75 m in dimension and have an input area of 0.56 m2. Four litterfall traps were placed across the site. One corner of the litterfall trap aligned with a steel dropper. The frame for each litterfall trap has constructed from 32mm diameter PVC pipe, including four 57 cm lengths and four 6.8 cm lengths (which form the sides), and four 47 cm lengths (which form the legs). These are joined with four right-angle elbow joins and four ‘T’ joins. The net for the litterfall trap was manufactured from a 1.8 x 1.8 m piece of shadecloth, which has splits along each side through which the side lengths of PVC pipe were threaded. The frame was assembled and secured with PVC cement solvent on- site. The legs have pre-drilled holes at the base, and have been pinned to the ground using tent pegs. They were left at the site for one year, then the litter accumulated in the trap was removed, dried to a constant mass, and weighed. <br> 7) Installation of temperature and humidity data loggers : Three iButton data loggers have been installed at each site. Two are Thermochron DS1922L, which record temperature at four-hourly intervals, and one is a Hygrochron DS1923, which records both temperature and humidity at four-hourly intervals. iButtons have been attached to plastic fobs, which were wired on to the top of a steel dropper and placed inside the yellow safety cap. <br> 8) Measurement of Shrubs: In each of four 7m subsections along the 28m transect, the five shrubs that were perpendicularly closest to the transect tape were selected. The height of each shrub was measured as well as the length and width of the rectangle bounding the 5 shrubs [see manual].<br> 9) Installation of Decomposition Bags: At each site, 21 decomposition bags, 20 x 20 cm in dimension, were installed. They were constructed from two pieces of fine nylon mesh. Three sides were sewn together, the bag filled with approximately 10 g dried fine litter (see Section9.6) and the fourth side sewn shut. Six bags per site are filled with a 10 x 10 cm piece of unbleached, organic cotton calico instead of leaf litter, to act as a standard for decomposition rates across all sites. The bags were kept in place using weed-matting pins. They were collected after one year, each entire bag was dried to a constant mass, and weighed. <br> 10) Vegetative species composition: Representative specimens of the three most dominant species in the ground cover and midstorey were taken and the species and estimated percent cover were recorded.<p><b>Credit</b><br/>We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.<b>Purpose</b><br/>The TERN AusPlots Forest Monitoring Network aims to establish a continental scale plot based monitoring network that improves our understanding of tree growth, forest productivity and carbon dynamics in tall eucalypt forests in relation to continental scale environmental gradients. This permanent plot network provides the infrastructure and data for tracking all aspects of forest dynamics over long periods of time. Between October 2014 and March 2015, fuel load surveys were conducted in the 48 large 1 ha Ausplots Forest Monitoring Network plots in mature, highly productive tall eucalypt forests across the Australian continent. Then, Between October 2015 and February 2016, the plots were returned to to collect litterfall traps, decomposition bags, and iButtons, as well as to measure the topography of each plot and to take panoramic photos. TERN AusPlots is a plot-based surveillance monitoring program, undertaking baseline assessments of ecosystems across the country. The aim of AusPlots is to establish and maintain a national network of plots that enables consistent ecological assessment and ongoing monitoring. The AusPlots network collects a range of field data for integration with other existing data sources and current knowledge.Progress Code: completedMaintenance and Update Frequency: notPlannedThe forest fuel survey dataset comprises site-level summary data from the well-designed fuel load surveys across 48 AusPlots Forests- 1-ha monitoring plots across Australia. Data presented here includes data on the surface, near-surface, and elevated fuel loads for each of the Forest Ausplots. It includes iButton data on 1) temperature and humidity, 2) data on litterfall and 3) decomposition rates. We also provide additional information on soil nutrient data, species composition of the understorey and midstorey, and panorama photos from the plot centre. This dataset is the second version of the <i> AusPlots Forest Fuel Survey site-level data summary, 2014 - 2015. Version 1.0.0. Terrestrial Ecosystem Research Network.</i> (dataset). <em>https://doi.org/10.25901/efnh-sk06</em>
Multispecies count data for Dynamic Factor Analysis by the Desert Ecology Research Group
No full textData were collected from three sites within Ethabuka Reserve and Carlo Station within the Simpson Desert, Australia. Four grids were set up at each site (total = 12 grids), with each grid occupying 1 ha consisting of 15 5 × 5 m plots. Five plots were spaced randomly, but with a minimum separation of 5 m, on 100 m transects along the crest, middle and swale of the dunes, with 100 m separating the crest and the swale transects. Surveys recording plant species abundances were conducted 4 times a year from 2004-2006 and 1-2 times a year from 2007-2013.<p><b>Credit</b><br/>We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.<br/>The authors would like to acknowledge Aaron Greenville, Bobby Tamayo, DERG staff, LTERN, Bush Heritage Australia and ARC for funding and assistance in data collection, data entry and data management.<b>Purpose</b><br/>This dataset is a subset of a larger vegetation plot dataset collected by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It consists of plant counts for multiple species across three sites within the Ethabuka Station and Carlo Reserve in the Simpson Desert from 2004-2013; rainfall data from 2004-2012; and a species list with classifications based on life form. Desert Ecology Plot Network: Covers 8,000 km2 in the north-eastern Simpson Desert, western Queensland Established: 1990; Aim: Track long-term shifts in biodiversity in relation to key drivers, both intrinsic to the resource-pulse dynamics and due to human disturbance. These drivers include unpredictable rainfall and droughts, fire, feral predators and grazing; Key research questions: 1) How will increased climate extremes impact on the dynamic network of interactions among species and their role in maintaining biodiversity? 2) How do complex predator-prey interactions regulate vertebrate diversity in arid Australia? Surveys: Surveys of flora and fauna are undertaken several times each year and manipulative experiments are conducted to disentangle the multiple interacting processes; Climatic variables of rainfall and temperature are recorded continuously by 13 automatic weather stations installed in 1995.Progress Code: completedMaintenance and Update Frequency: notPlannedThis dataset consists of counts for multiple plant species obtained from the Ethabuka Station and Carlo Reserve in the Simpson Desert, Australia, from 2004-2013 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists rainfall data obtained from 2004-2012. These datasets were used to perform a Dynamic Factor Analyses for the manuscript, "Life form explains consistent temporal trends across species: the application of dynamic factor analysis". For more information see: DERG; https://www.sydney.edu.au/science/our-research/research-areas/life-and-environmental-sciences/desert-ecology.html
NERP Fauna Survey Protocols Field Trial Data 2015
No full textAusPlots Fauna Survey Protocols: This field trial is a key component of the project. Once reviewed and updated a manual will be available on the AusPlots website: https://linkeddata.tern.org.au/viewer/ausplots/id/http://linked.data.gov.au/def/ausplots-cv/3ee6feb4-20aa-4dd8-9f15-48bbbebbac7a. In summary, pitfall, funnel and Elliott trapping was conducted for 5-6 consecutive nights. Pitfalls consisted of 20 L buckets, buried flush to ground level, in a 3 lines of 7 pits in an array, with each line having a single continuous 90-100 m drift fence. All traps were checked morning and night, and captures recorded to species level and some morphological measurements taken. Some individuals were kept for museum whole specimens, whilst others a small tissue sample was taken prior to release. Samples are available from South Australian Museum.<p><b>Credit</b><br/>We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.<b>Purpose</b><br/>AusPlots is a plot-based surveillance monitoring program, undertaking baseline assessments of ecosystems across the country. The aim of AusPlots is to establish and maintain a national network of plots that enables consistent ecological assessment and ongoing monitoring. The AusPlots network collects a range of field data for integration with other existing data sources and current knowledge. AusPlots is one of a suite of capabilities delivered through Australia's Terrestrial Ecosystem Research Network (TERN), a part of the National Collaborative Infrastructure Strategy (NCRIS). As a whole, TERN delivers the critical research infrastructure, national and international networks of scientists, environmental managers and stakeholders that is needed to improve understanding and management of Australia's ecosystems.Progress Code: completedMaintenance and Update Frequency: notPlannedThe dataset contains information from the first initial trial of the AusPlots Fauna Protocol conducted at Calperum Station, Renmark, South Australia. Selected proposed methodologies and fauna survey techniques were trialled for logistical purposes. After the field trials, the proposed methodologies and techniques were refined. The dataset contains species information on fauna species captures, observations, and specimen collections from the April-May 2015 field trials. The data can be used to review the outcomes of the survey methodologies, presence data of the species recorded, morphological details of the animals recorded, and relate field data to the whole specimen and tissue specimens collected. The Enhancing Long-term Surveillance Monitoring Across Australia Programme will enhance the breadth and depth of Australia's terrestrial ecosystem condition monitoring and reporting at national and regional scales through building on the Terrestrial Ecosystem Research Network (TERN) AusPlots Facility. Specifically, this will be achieved by increasing the range and type of AusPlots field sites and monitoring, and through providing guidelines, protocols manuals or standards that will enhance environmental data quality
Competition in network industries
No full textA wave of privatization is sweeping the globe, affecting about 100 countries and adding up to an average of more than $60 billion a year in business in the past decade. The challenge is to ensure that privatization yields clear benefits. Empirical studies suggest that ownership change by itself will often yield results, especially when it reduces government interference. But the regulation required in areas of natural monopoly can become overly intrusive and undermine progress. Real competition is required to generate sizable and lasting welfare improvements. But in infrastructure sectors, the introduction of competition is complicated by the existence of complex transport and communications networks. Debate about whether and how to introduce competition in network industries is sometimes heated. Certain questions recur: Will continuing regulation be needed? Whether and at what terms will private finance be forthcoming? The author argues that policymakers need to understand how competitive forces can be brought to bear in network industries. He explains the following: 1) common principles that are often lost in"technical"debates about specific sectors; 2) various methods for introducing competition in network industries; 3) competition for the market, and bidding for franchises; 4) options for competition for existing networks; 5) options for expanding competitive systems by decentralizing investment in new network capacity; 6) the option of allowing competition among multiple networks; and 7) the implications of these options for the sectors and for financing industry expansion. In case of doubt, he contends, policymakers should not restrict the entry of competitive firms in such networks. If they do, entry restrictions should be subject to an automatic test after a set period, and reviewed for costs and benefits.Economic Theory&Research,Decentralization,Markets and Market Access,Environmental Economics&Policies,Labor Policies,Education for the Knowledge Economy,Economic Theory&Research,Access to Markets,Markets and Market Access,Environmental Economics&Policies
Innovate and prosper: ensuring Australia's future competitiveness through university-industry collaboration
No full textExecutive summary
The continuation of Australia’s economic growth is under threat. In order to sustain the levels of prosperity we have previously experienced, we have to build on our competitive edge in key industries to remain globally competitive. Alongside these developments, Australia’s higher education system is under increased pressure to become more productive and develop courses that address employability. Innovation represents the most reliable and sustainable solution to transition into a high value, high wage economy. Yet Australia ranks 29th out of 30 in the Organisation for Economic Co-operation and Development (OECD) in terms of the proportion of large businesses and small to medium enterprises (SMEs) collaborating with higher education and public research institutions on innovation.
This report acts as the next level of detail to publications such as the Department of Industry’s Boosting the Commercial Returns from Research report and the Business Council of Australia’s Building Australia’s Comparative Advantages, which have highlighted Australia’s poor performance in collaborative innovation.
We present five recommendations that are a call to action to universities, industry and Government to take the necessary steps to build an innovation economy. They are not a call for additional funding from Government, rather a more effective way of using our existing resources. PricewaterhouseCoopers (PwC) have engaged with leading figures from industry, including the Australian Industry Group (Ai Group), and partnered with the ATN to develop this five point action plan for Government, the university sector and industry 5 that will provide incentives and impetus for collaboration.
Our recommendations include:
Rebalance the national research agenda to underpin Australia\u27s economy and future prosperity
Create incentives for university-industry collaboration
Train researchers for diverse careers
Enhance career mobility between industry, academia and government
Provide incentives for co-investment in research infrastructure between universities, industry and state and federal government
Each recommendation contains a number of practical strategies for consideration by Government, universities and industry. The hope is that the report will encourage dialogue between the three groups and prompt bold policy changes in the coming 12 months and beyond.
 
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