The multi-actor approach in thematic networks for agriculture and forestry innovation

The co-creation and sharing of knowledge among different types of actors with complementary expertise is known as the Multi-Actor Approach (MAA). This paper presents how Horizon2020 Thematic-Networks (TNs) deal with the MAA and put forward best practices during the different project phases, based on the results of a desktop study, interviews, surveys and expert workshops. The study shows that not all types of actors are equally involved in TN consortia and participatory activities, meaning TNs might be not sufficiently demand-driven and the uptake of the results is not optimal. Facilitators are key to contributing to the relationships and the mutual understanding between different actors. Moreover, a user-friendly digital knowledge platform linked to demonstration activities and peer-to-peer exchange can improve the sharing of knowledge, enhancing impact in agricultural and forestry innovation in the longer term.

Vernacular Visibility and Algorithmic Resistance in the Public Expression of Latin American Feminism

This article seeks to understand how Latin American feminist public expression has gained algorithm-mediated visibility on social media. To this end, a cross-platform analysis was conducted for two issues: the legalisation of abortion in Argentina and the struggle to eliminate violence against women. The data were collected on four platforms: Twitter, Instagram, TikTok, and YouTube through the representative hashtags, ‘#abortolegal2020’, ‘#25N’, and ‘#niunamenos’. Digital critical methods were employed to gather data and approach high-visibility users, visual messages, and hashtagging practices. The findings reveal two configurations of algorithmic mediated visibility, formed by assemblages of actors, formats, and knowledge: platform vernaculars and algorithmic resistance. Both result in a mutual shaping between platforms, seeking to impose a quantitative logic of visibility, and feminist actors, using the tactics of algorithmic resistance to give visibility to the content, aesthetics, and resignified messages about their struggles.

The Gaia Explorer, a Powerful Search Platform

After two years of development, the GAIA Explorer is now ready to assist Geoscientists at Total! This knowledge platform works like a little Google, but with a focus solely on Geosciences - for the time being. The main goal of the GAIA Explorer is to save time finding the right information. Therefore, it is particularly useful for datarooms or after business acquisitions to quickly digest the knowledge, but also for feeding databases, exploration syntheses, reservoir studies, or even staff onboarding specially when remote working. With this additional time, Geoscientists can focus on tasks with added value, such as to synthesize, find analogies or propose alternative scenarios. This new companion automatically organizes and extracts knowledge from a large number of unstructured technical documents by using Machine Learning (ML). All the models relie on Google Cloud Platform (GCP) and have been trained on our own datasets, which cover main petroleum domains such as geosciences and operations. First, the layout of more than 75,000 document pages were analyzed for training a segmentation model, which extracts three types of content (text, images and tables). Secondly, the text content extracted from about 6,500 documents labelled amongst 30 classes was used to train a model for document classification. Thirdly, more than 55,000 images were categorized amongst 45 classes to customize a model of image classification covering a large panel of figures such as maps, logs, seismic sections, or core pictures. Finally, all the terms (n-grams) extracted from objects are compared with an inhouse thesaurus to automatically tag related topics such as basin, field, geological formation, acquisition, measure. All these elementary bricks are connected and used for feeding a knowledge database that can be quickly and exhaustively searched. Today, the GAIA Explorer searches within texts, images and tables from a corpus (document collection), which can be made up of both technical and operational reports, meeting presentations and academic publications. By combining queries (keywords or natural language) with a large array of filters (by classes and topics), the outcomes are easily refined and exploitable. Since the release of a production version in February 2021 at Total, about 180 users for 30 projects regularly use the tool for exploration and development purposes. This first version is following a continuous training cycle including active learning and, preliminary user feedback is good and admits that some information would have been difficult to locate without the GAIA Explorer. In the future, the GAIA Explorer could be significantly improved by implementing knowledge graph based on an ontology dedicated specific to petroleum domains. Along with the help of Specialists in related activities such as drilling, project or contract, the tool could cover the complete range of upstream topics and be useful for other business with time.

Modeling the Empowerment Mechanism of Knowledge Collaboration from the Perspective of Platform Affordances

In the digital economy era, knowledge platforms have both the functions of knowledge collaboration and social media. At the same time, how to promote knowledge collaboration through platform empowerment is getting more and more attention. Since there are few types of research on how to realize the micromechanism of platform empowerment, the purpose of this paper is to take knowledge platforms as an example to study the conceptual system of platform affordances based on the social-technical perspective. Through the theoretical integration of technological empowerment and authorization empowerment, this paper provides new perspectives and future themes for explaining the platform empowerment mechanism of knowledge collaboration. As for the method, the deductive research approach is adopted in this paper. First, through the critical literature review, the gaps in platform empowerment research have been identified. Second, from the analysis of the characteristics of knowledge platforms such as Wukong Q&A and Zhihu, the relationship between platform affordances, platform organizational characteristics, and customer needs has been explored. In the final, according to knowledge platform characteristics, the conceptual system of platform affordances has been deduced. The result shows that through integrating organizational theory, knowledge management theory, and platform ecological viewpoints, the main components of the affordances of knowledge platforms have been summarized. In addition, the relevance of those components to the functions, interfaces and rules of the platform system has been illustrated, and the corresponding relationship between the affordances of the platform and the main components of authorization empowerment has been established. With regard to the implication of this study, it establishes the theoretical connection between technological empowerment and authorization empowerment and provides a more intuitive and operable method for platform empowerment of knowledge collaboration through the perspective of social-technical interaction. This paper emphasizes that starting from the mission of the platform, the stickiness of the platform can be enhanced by building platform affordances. In addition, extensive development ideas that purely pursue Internet traffic and capital need to be avoided, which is conducive to the high-quality development of knowledge platforms and the digital economy. Furthermore, this paper calls for more research on the affordances and empowerment mechanism of the platform to provide theoretical guidance for the highly unified practice of platform organizational characteristics, platform system characteristics, and target customer needs, so as to develop a more active and meaningful platform knowledge management field.

Methods and technologies for ensuring cybersecurity of industrial and web-oriented systems and networks

The subject matter of the article is methods and technologies of ensuring the cybersecurity of industrial and web-oriented systems and networks, training of cybersecurity specialists during the acquisition of professional knowledge. The purpose of the article is to ensure the cybersecurity of industrial and web-oriented systems and networks by developing and implementing appropriate methodologies (concepts, principles, set of models, methods) and technologies in the industry, as well as in training the cybersecurity specialists during the acquisition of professional knowledge. The problem of developing models, methods, and technologies for ensuring the cybersecurity of mobile systems, web-oriented systems based on content management systems, virtual networks that provide their interaction, and a methodology for training cybersecurity specialists are formulated. Based on the analysis the particular tasks of developing convolutional neural network model, information technology methods and models for ensuring the cybersecurity of web-oriented systems and networks, a methodological framework of creating information technology, and a model of digital knowledge platform for use in the field of cybersecurity specialists training and security of industrial systems were formulated. The basic theoretical decisions, which underlie the construction of real industrial and web-oriented systems and networks, were described in the article. The results of work are increased reliability value of detecting the malware in the Android operating system, reduced rates of false positives, provided an allowable value of the success rate of attacks at a minimum cost, reduced time spent on building and rebuilding the structure of the virtual network, increased efficiency of cybersecurity specialists training and security of industrial systems. From the above, it is possible to conclude that the obtained results can be used in a line of existing and prospective approaches at designing difficult, complex, hybrid, technical, cyber-physical systems with a web-oriented interface for users and administrators.

The Relevance of Videos as a Practical Tool for Communication and Dissemination in Horizon2020 Thematic Networks

Thematic networks (TNs) are Horizon2020 projects promoted by the European Innovation Partnership Agricultural Productivity and Sustainability (EIP-AGRI) that collect existing knowledge and best practices on a given theme in agriculture and forestry. Their purpose is to make these available in easily understandable formats for users such as farmers/foresters and advisors. Videos are a powerful tool for communication and dissemination about project outcomes; thus, they are frequently used as part of project activities. Despite the large number of videos that have been produced by TNs, only a few have reached a high number of views. Hence, most have not reached a wide public, decreasing the impact of TNs’ outputs. This paper analyzes several characteristics of TN videos in order to suggest best practices. That is, we investigated whether each characteristic influences the number of views or average percentage watched. Using the analysis, we suggest several best practices. For example, future TNs should show practical content prioritizing farmers as a speaker and translate videos in more than one language. Better involvement of project partners increases the contact with farmers; thus, outcomes are more easily spread, and the chance of being applied increases. To increase the visibility of videos, a user-friendly digital knowledge platform linked to demonstration activities and peer-to-peer exchange will improve the sharing of knowledge. This will further enhance a TN’s impact and sustainability in agricultural and forestry innovation in the longer term.

How Can Charged Knowledge Platform Marketing Run?

With the advance of digital technology and Internet technology, the popularity of mobile phones and computers and other terminal equipment, more and more people use the Internet to send and receive information on social media. They’ve engaged in marketing activities and made new media marketing to be the public focus. Among them, a charged knowledge platform (CKP) was introduced as the payment mechanism and got some feedback in the revenue channel through the sharing and knowledge transferred on the internet. However, what is the nature of charged knowledge platform marketing? What do we need to be aware of when engaging in marketing activities through a charged knowledge platform? Related research is lacking, and both new media marketing theory and practice are needed to clarify within these issues. Accordingly, the purpose of this study is to verify the nature and related issues of charged knowledge platform marketing, and to provide relevant suggestions. This study searches for relevant information and data through literature retrieval and uses inductive methods to organize and interpret it. From the aspect of encyclopedic platform, the results show that the main problems of charged knowledge platform marketing are distributed in the three main orientations of platform operation technology, term content and user management and interaction. If enterprises can adopt internal training, external employment and outsourcing methods, reasonable and orderly and efficient solution to professional manpower problems, charged knowledge platform is worthy of enterprises to enhance visibility and image, precision marketing and towards sustainable development of a good helper. According to this, it is suggested that future research should gradually explore the measures and willingness of charged knowledge platform to solve the problems of manpower.

Onto new horizons: insights from the WeObserve project to strengthen the awareness, acceptability and sustainability of Citizen Observatories in Europe

WeObserve delivered the first European-wide Citizen Observatory (CO) knowledge platform to share best practices, to address challenges and to inform practitioners, policy makers and funders of COs. We present key insights from WeObserve activities into leveraging challenges to create interlinked solutions, connecting with international frameworks and groups, advancing the field through communities of practice and practitioner networks, and fostering an enabling environment for COs. We also discuss how the new Horizon Europe funding programme can help to further advance the CO concept, and vice versa, how COs can provide a suitable mechanism to support the ambitions of Horizon Europe.

Towards equity: a retrospective analysis of public sector radiological resources and utilization patterns in the metropolitan and rural areas of the Western Cape Province of South Africa in 2017

Background The reduction of inequality is a key United Nations 2030 Sustainable Development Goal (WHO, Human Resources for Health: foundation for Universal Health Coverage and the post-2015 development agenda, 2014; Transforming our world: the 2030 Agenda for Sustainable Development .:. Sustainable Development Knowledge Platform, 2020). Despite marked disparities in radiological services globally, particularly between metropolitan and rural populations in low- and middle-income countries, there has been little work on imaging resources and utilization patterns in any setting (Transforming our world: the 2030 Agenda for Sustainable Development .:. Sustainable Development Knowledge Platform, 2020; WHO, Local Production and Technology Transfer to Increase Access to Medical Devices, 2019; European Society of Radiology (ESR), Insights Imaging 6:573-7, 2015; Maboreke et al., An audit of licensed Zimbabwean radiology equipment resources as a measure of healthcare access and equity, 2020; Kabongo et al., Pan Afr Med J 22, 2015; Skedgel et al., Med Decis Making 35:94-105, 2015; Mollura et al., J Am Coll Radiol 913-9, 2014; Culp et al., J Am Coll Radiol 12:475-80, 2015; Mbewe et al., An audit of licenced Zambian diagnostic imaging equipment and personnel, 2020). To achieve equity, a better understanding of the integral components of the so called “imaging enterprise” is important. The aim was to analyse a provincial radiological service in a middle-income country. Methods An institutional review board-approved retrospective audit of radiological data for the public healthcare sector of the Western Cape Province of South Africa for 2017, utilizing provincial databases. We conducted population-based analyses of imaging equipment, personnel, and service utilization data for the whole province, the metropolitan and the rural areas. Results Metropolitan population density exceeds rural by a factor of ninety (1682 vs 19 people/km2). Rural imaging facilities by population are double the metropolitan (20 vs 11/106 people). Metropolitan imaging personnel by population (112 vs 53/106 people) and equipment unit (1.7 vs 0.7/unit) are more than double the rural. Overall population-based utilization of imaging services was 30% higher in the metropole (289 vs 214 studies/103 people), with mammography (24 vs 5 studies/103 woman > 40 years) and CT (21 vs 6/103 people) recording the highest, and plain radiography (203 vs 171/103 people) the lowest differences. Conclusion Despite attempts to achieve imaging equity through the provision of increased facilities/million people in the rural areas, differential utilization patterns persist. The achievement of equity must be seen as a process involving incremental improvements and iterative analyses that define progress towards the goal.