Date: Tuesday 26 September

Time: 10:45 - 12:45 CEST

Workshop 1

Title: How Open Science and AI could Scale up the Circular Economy practice

Organizers: VITO, Belgium, Vlaanderen Circulair, Belgium, imec, Belgium

Room: TBC

Our WORKSHOP stimulates the discussion on how AI and Open Science (OS) can be used to accelerate the transition towards a Circular Economy (CE) and will result in 10 Proof of concepts (POC) of a to be solution. We bring together different stakeholders that will continue the work after this conference. Challenges as transparency and reusability of project results should be considered and possible solutions will be discussed during this workshop.

The transition towards a CEis a priority for the European Commission and its member states. Goal is to extend the life cycle of products and to reduce waste to a minimum. Strategies and business models to realize this are sharing, reusing, repairing, refurbishing and recycling existing materials and products. This transition is necessary to protect the environment and to reduce raw material dependence. It also increases competitiveness, stimulates innovation, and creates jobs in Europe. [1]

To accelerate this transition the European Commission has invested over 10 billion € via several programs like Horizon, Cohesion Policy, Life Program and the European Fund for Strategic Investments. Also, at member state level and local authorities have invested large amounts in experiments and research on this topic.

To scale up and transform the economy, the research questions, the hypothesis, the insights, and results from all those projects and studies should be made queryable to form the bases for follow up research.

Which test-set do we need to pre-train an AI algorithm, to build a knowledge/Data insight graph / to apply big FAIR data to shift more to data driven science (4the paradigm[2]) for CE?

Only by building on the lessons learned a large-scale transition can be achieved.

SESSION CONTENT, FORMAT AND DRAFT AGENDA

Our approach is focused on collaboration and co-creation. We work with 10 groups of 6 people who can discuss and brainstorm on the given challenge. Each table will work out a concept of one POC, based on our workshop-template. Our method of work consists of the following steps: “intro on the challenges (to-be), intro to the current as-is, open contribution to to-be and as-is, stakeholder mapping (community assessment), and delivering: vision/solution draft and POC draft.

• After an intro on the challenges, by an expert in the field the participants at each table get a clear definition of this problem and to the stakeholders needed to come to a solution. Goal is to get a common understanding on the topic so possible ideas and solutions in the follow up of the workshop are based on the same ground.
• In a next step, a presentation is given by experts in the field of the current situation on AI&OS linked to our challenge, this will bring everybody to the same level of knowledge.
• Next, the participants can add information (publications, experiments, reports, ...) they know of that can be helpful to tackle this challenge.
• Subsequently is the stakeholder mapping. We create a community working on this huge challenge. During the first phase - problem definition - the specific roles needed to solve this problem were written down.
• The two last parts of the workshop are focused on a concrete result: a first draft of a to-be solution, and what a first POC should look like to meet the needs to use the results, impacts and insights of the many experiments done in this field.
• In the first brainstorm ideas on possible solutions will be discussed, to draw out a comprehensive future desired state
• in the last part of this workshop concrete steps towards funding and the development of a first proof of concept should be clear. (e.g. similar projects: Public Service Platforms for Circular, Innovative and Resilient Municipalities)

DRAFT TIMING AGENDA:

• 0-20min: Introduction & Challenge: How could OS and AI scale up the CE practices
  
• 20-50min: Problem definition OS & CE
• 50-65min: Current AI & OS situation
  
• 65-85min: Stakeholder mapping to prepare the community
• 85-105min: Call to action- Brainstorming
• 105-120min: Next steps: project funding

To engage the audience we will communicate via our own newsletters and social media and use channels of network organizations in both the field of OS&AI as researchers on CE.

LEARNING OUTCOMES

• inform and inspire the audience: This workshop could become an eye opener on how to apply extract tangible value from Open Science principles, so that scientific insights are made available for a global topic like CE while abiding the open science philosophy and be comprehensiveness.
• 10 "to be" POC: Which could be used as a roadmap to use OS and AI to accelerate CE practices.
• Build community: Start with the Collision of the willing that will work on implementing this roadmap.

[1] https://www.europarl.europa.eu/news/en/headlines/economy/20151201STO05603/circular-economy-definition-importance-and-benefits

[2] The Fourth Paradigm 10 Years On“, Tony Hey, Anne E. Trefethen, Inform. Spektrum 42(6): 441-447, 2020

Workshop 2

Title: Open Science Knowledge Graphs: Transforming the Way we Manage, Explore, and Analyze Scientific Knowledge

Organizers: OpenAIRE, Athena Research Center, Greece

Room: TBC

In recent years, a variety of both domain-specific and cross-domain Science Knowledge Graphs (SKGs) have been created in the context of academic or industrial activities. These resources contain valuable information and are catalyzing the creation and provision of advanced knowledge extraction and exploration services, which are intended to increase research productivity, shorten the time between hypotheses and results, and provide the basis for a powerful toolbox that supports important workflows for researchers and other stakeholders by allowing informed and fact-based decisions. As a result, SKGs are of great value to the research community at large and various research communities have started building their own domain-specific SKGs and linking them with cross-domain knowledge graphs, like the OpenAIRE Graph (https://graph.openaire.eu/).

In this context, researchers participating in the five thematic clusters of the European Strategy Forum on Research Infrastructures (ESFRI) have given significant effort to develop their own SKGs and useful added-value services on top of them to facilitate knowledge management and exploration in the respective disciplines. At the same time, building SKGs and making them interoperable to unlock their full potential is a challenging task. There are various challenges that should be addressed, most of them being related to the complexity of the domains to be represented, the multilinguality of scientific texts, the interconnectivity of the involved entities, the lack of structure in organizing the respective knowledge (e.g., in text), and the heterogeneity of the available metadata formats. SciLake (https://scilake.eu/) is a Horizon Europe project that aims to alleviate the previous issues. More specifically, it aims to extend the technical work in the field of SKGs leveraging them as the foundation to establish the concept of the scientific lake: a research ecosystem to facilitate creating, combining, and querying cross-domain and domain-specific SKGs. This ecosystem, among others, will comprise tools that are capable to extract knowledge from unstructured (e.g., textual) information, facilitate the interoperability among SKGs, support various types of knowledge transformation, unify and simplify the way SKGs can be queried, and accelerate graph processing and analysis for SKGs. Finally, SciLake will build a prototype of this concept also delivering, on top of it, a series of EOSC-onboarded services to assist researchers in discovering scientific knowledge and improving research reproducibility.

In this workshop, representatives from key ESFRIs will present their ongoing work on the creation and maintenance of domain-specific SKGs, their current needs and identified challenges. SciLake representatives will elaborate on the mission of building a comprehensive scholarly communication graph and the technical solutions which are under development. By exploring the initiatives of these projects we aim to provide insights into the usage of the SKGs in Open Science activities and the impact they have on research output and collaborations.

In conclusion, the session will investigate the potential cooperation and common goals of these initiatives in the creation of multidisciplinary interlinked SKGs. In addition, the importance of the scientific lake concept will be discussed, as well as its impact on different research communities. The session will provide participants with an opportunity to engage with the speakers and provide feedback on their work, as well as to examine how SKGs will impact their research outputs and assist them in responding to the Open Science requirements.

Format: Series of talks + interactive round table

Tentative agenda:

● Welcome & introduction [5 min.] - Stefania Amodeo

● Presentations:

• OpenAIRE Graph: status and enrichments via the SciLake project - Thanasis Vergoulis [15 min]
• Domain discipline SKGs: requirements, models, interactions:
• EBRAINS KG [10min]
• LifeWatch KG [10 min]
• PanOSC Data Catalogue [10 min]
• Cancer National Catalogues [10 min]

● Round table (with interaction from the audience) :

• Challenges for interoperability, exchange and way forward [30 min]
• Moderator: Stefania Amodeo
• Panelists: Thanasis Vergoulis, TBD

Audience engagement:

1. Ask the audience to submit questions before or during the panel discussion via Menti,

2. Use polls or surveys to get feedback,

3. Invite them to share their opinions or experiences.

Learning outcomes

● Learn about the creation of Scientific Knowledge Graphs, specifically how to convert data into knowledge and how to use them to promote Open Science to improve navigation and discovery.

● Discover the challenges associated with delivering high-quality SKGs in terms of coverage, timeliness, accuracy, and consistency, where and how good curation practices and AI come into play.

● Learn about the various needs and efforts coming from different disciplines: Research Infrastructures (neuroscience, biodiversity, photon/neutron), national infrastructures (cancer), and emerging research communities (transport, energy)

.● Explore how diverse SKGs and projects can work together to create interconnected multidisciplinary SKGs.

● Learn about the concept of a scientific lake, the services it can provide to the SKG community, and the impact it has on various research communities.

Workshop 3

Title: Beyond DSpace 7: the FAIR Repository Platform (Tutorial)

Organizers: 4Science, IT

Room: TBC

The “Beyond DSpace 7” Tutorial aims to introduce the latest version of the DSpace platform to the audience and discuss the features particularly relevant in the context of the Open Science FAIR.

Repository managers and Open Science officers will find it useful to have updated information about the status of the most adopted open-source repository platform worldwide, and how it enables FAIR principles.

The first part of the tutorial will provide a general overview of the DSpace 7 architecture and showcase its basic features, then it will go deeper into interoperability aspects relevant to reach the FAIR goals.

DSpace 7.6, the most recent version at the time of the workshop, is expected to support the FAIR Signposting Profile with minimal configuration. The audience will be instructed about how to enable and check the features.

In the second part, the status of the COAR Notify implementation in DSpace 7 will be presented. The COAR Notify project funded the implementation of the protocol in DSpace to be available out-of-box in DSpace 8 and as a patch for DSpace 7 users. At the time of the workshop the implementation phase of the project will be over, and the pilot phase underway. A patch will be available for DSpace 7.6 for those who cannot wait to have it implemented out-of-box in DSpace 8. Early adopters will be encouraged to provide feedback to the community. The Notify protocol implementation in DSpace will be showcased exploring some of the scenarios that it will enable such as integration with overlay journal platforms, open peer-review services and crosslinking among publications and data repositories.

Interactive polls will be proposed during the workshop to gather information from the audience about their current knowledge of the FAIR principles, enabling technologies, ongoing initiatives and expected benefits for their local communities. This information will be shared with and used by the DSpace community at large to prioritize future actions.

Learning outcomes

Features and characteristics of DSpace providing support for the FAIR principles

Length and number of attendees

120 minutes, no specific constraints about the number of attendees

Conference Themes

Conference themes our proposal best addresses:

Innovation & disruption in scholarly publishing

• New emerging publishing models

• Diamond Open Access; regional initiatives, projects and plans

FAIR Data, software & hardware

• Collaborative development

• Interoperability 

Keywords

DSpace, Signposting, COAR notify, FAIR

Audience

Repository managers, Open Science officers