fairdataihub/poster-sentry-training-data huggingface dataset:
MYRIAD-EU has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement ID: 101003276 Introduction MYRIAD-EU: Multi-hazard and sYstemic framework for enhancing Risk- Informed mAnagement and Decision-making in the EU Philip J. Ward, Marleen C. de Ruiter, Timothy Tiggeloven, Judith N. Claassen, Ruoying Dai While the last decade saw huge scientific advances in the understanding of natural hazard risk, most research and policy still address risk from a single-hazard, single-sector perspective not taking into account the interconnected reality of these events. MYRIAD-EU’s vision is to catalyse the paradigm shift required to move towards a multi-risk, multi-sector, systemic approach to risk assessment and management. To achieve this vision, the overall aim is that by the end of MYRIAD-EU policy-makers, decision-makers, and practitioners will be able to develop forward-looking disaster risk management pathways that assess trade-offs and synergies across sectors, hazards, and scales. The project will focus on five multi-scale Pilot regions, in which we aim to better understand indirect, interregional, and cross-sectoral risk within Europe. Through this project we aim to reduce risks together: please contact us if you are interested in collaboration. Work Packages The MYRIAD-EU project is centred around eight Work Packages (WP’s) summarized in Figure 1. Hazard Classes Geological Hydrological Climatological Biological Meteorological The following hazard classes are included in the project Pilots and Sectors The Pilots (see Fig.2) are selected to provide: a spread of different spatial scales, geographical locations, institutional settings across the EU; hazard ranges and hazard interrelation types (triggering, amplifying, consecutive, and compound). The key sectors that will be covered in MYRIAD- EU are: 1. infrastructure & transport 2. food & agriculture 3. ecosystems & forestry 4. energy 5. finance 6. tourism Partners Figure 1: Overview of MYRIAD-EU Work Packages (WPs) Figure 2: Overview of MYRIAD-EU Pilots #MYRIAD-EU Prof. Dr. Philip Ward philip.ward@vu.nl
Statistics of annotated validation dataset. Statistics of annotated validation dataset. The preliminary results of using Point Transformer trained on a public 3DEP point cloud classification dataset are promising. BACKGROUND: The USGS 3D Elevation Program (3DEP) is collecting lidar point data for the entire continental U.S. Minimum classification is following for current 3DEP. Accurately classified point clouds can support many down-stream applications such as in hydrologic analysis, urban planning, and forest management. This project will employ proven Deep Learning (DL) technologies in the development of a user-friendly open-source toolkit that will automate point cloud classification to refine and enrich the attributes of existing and future 3DEP data. MATERIALS and METHODS 1. 3DEP lidar data: National Map Download Client site (https://apps.nationalmap.gov/downloader/) 2. Training data: 2019 IEEE GRSS Data Fusion Contest (https://ieee-dataport.org/open- access/data-fusion-contest-2019-dfc2019) 3. DL model: Point Transformer 4. Validation RESULTS 1. Buildings and vegetation are now in different classes 2. Most of noisy points are re- classified/removed 3. Point Transformer had good performance in major classes (bare earth, vegetation, building) 4. The performance of the classes with fewer points (“water” and “bridge deck”) was poor NEXT A deep learning-based point cloud classification tool on 3DEP PRESENTER: Jung kuan Liu (jliu@usgs.gov) Automated Deep Learning-based point cloud classification on USGS 3DEP LiDAR Data Using a Transformer Jung kuan Liu1, Rongjun Qin2 1 U.S. Geological Survey, Center of Excellence for Geospatial Information Science 2 Department of Civil, Environmental, and Geodetic Engineering, The Ohio State UniversityU.S. Department of the InteriorU.S. Geological Survey Alameda County, CA IoU Accuracy Num. of Points Bare earth 0.97 0.98 24.6 M Vegetation 0.86 0.89 3.6 M Building 0.84 0.98 3.2 M Water 0.19 0.26 254.9 K Bridge deck 0.44 0.47 88.5K Average 0.69 0.73 / Class # of points (original) # of points (re-labeled) % of points (re-labeled) Unclassified 12,911,236 405,179 1.26 Bare earth 18,317,594 24,580,630 76.47 Vegetation 0 3,601,862 11.20 Building 0 3,210,429 9.98 Water 194,817 254,956 0.79 Bridge deck 12,831 88,502 0.27 Noise 32,487 0 0 Others 672,593 0 0 Statistics of annotated validation dataset. Quantitative evaluation
The sage2 Project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement 800999 Sage2 – Percipient StorAGe for Exascale Data Centric Computing Consortium: 9 partners led by Seagate (UK) Ltd. covering technology providers, computing centres and application providers and users Objective: Design an exascale ready architecture based on hierarchical storage layers and object storage (MERO), adaptable to novel storage media . Justification: I/O can represent a bottleneck in many applications . This bottleneck can be addressed by facilitating use of fast but expensive storage media in an hierarchical architecture. The use of storage-class memory additionally to spinning disks blurs the line between byte addressable and block data store Unique Features: • Containers for treating many objects the same • Distributed Transaction Management • Supports global memory abstraction • Integrated AI framework • Function shipping to move processing to the data • Data Aware Scheduling based on SLURM • QoS based Architecture Global Memory Abstraction: applications, tools and programming models access data on the SAGE system either directly by mapping objects to memory in the tier nodes, or, by accessing them as a storage system through the Clovis API. Three scenarios envisaged: • Make NVRAM-C (NVRAM within compute nodea) appear as a single addressable space • For larger objects, make use of external NVRAM (NVRAM-E), directly accessing using RDMA • Using standard MERO APIs to access data in any tier Under Development: • Differential checkpointing of objects to back them up to lower level storage • Data Reshaping to allow restart with different numbers of nodes Co-Design: SAGE architecture has been co-designed with application developers and users. Applications cover • Space weather (IPIC3D) • Satellite Data Processing (JÜRASSIC) • Finite Element Modelling (paraFEM) • CFD (BOUT++) • Neural Simulation Tool (NEST) • CAT (Savu) Application Support and Programming Models ARM have developed extensions to their Allinea Forge toolkit and are supporting integration of MERO onto ARM processors. Kitware are adapting their visualization tools to optimize user experience when analysing results on SAGE. Current and Future Status: • Prototype system installed and operational at Jülich Supercomputing Centre • MERO object store under consideration for Open Sourcing S. de Witt1, D. Samaddar1, A.Davis1, S. Narasimhamurthy2, G. Umanesan2, D. Pleiter3, M. Salem El Sayed3 1 United Kingdom Atomic Energy Authority 2 Seagate (UK) Ltd 3 Jülich Supercomputing Centre
25-27 June 2008 Madrid, Spain Knowledge production in evaluating rehabilitation of buildings – Areas of interest and biases Anandasivakumar Ekambaram 1, Andreas Økland 2 1SINTEF, 7031 Trondheim, Norway, siva@sintef.no 2SINTEF, 7031 Trondheim; Norway, Andreas.Okland@sintef.no Background – A structured literature review on evaluating rehabilitation of buildings Journals that are considered: • Building and environment • Cleaner Production • Construction Innovation • Construction Management and Economics • Energy and Buildings • Facility • International Journal of Project Management • Sustainability Selected period of publication: 2016-2018 Number of relevant articles (selected after the final round of study): 58 Preliminary results – Areas of interest Areas of interest that were found after the first round of categorization of the results: • Support for decision making: o Evaluation of potential improvement scenarios / options o Improving decision making • Simulation • User behavior • Life cycle approach: o Life Cycle assessment o Life Cycle Cost • Payback time • Policy These are key areas of interest. This categorization is based on the number of articles that focus on the areas of interest. At the early stage of the study, as each of the articles was read, all areas of interest (that is, what areas that each article focuses on) were noted. Biases • Number of citations of the articles can play a role in determining the areas of interest • Average number of citations per area of interest could lead to a dilemma / bias: • Articles published in 2016 could probably have more citations than the articles published in 2018 • Areas of interest could overlap each other • Choosing what area(s) of interest that an article focuses on could be subjective REZBUILD This study is connected to research project: The REZBUILD project (REfurbishment decision making platform through advanced technologies for near Zero energy BUILDing renovation) grows with the main aim of defining a collaborative refurbishment ecosystem focused on the existing residential building stock. • Awarded by the European Commission with a H2020 Programme Grant of € 6,996,128.25 • Total budget: € 9,038,208.75 • Duration: 4 years (Started in October 2017) REZBUILD will base its refurbishment ecosystem on the integration of cost-effective technologies, business models and life-cycles interaction. https://rezbuildproject.eu/ 20th European Conference on Knowledge Management | Portugal, 2019 An area of interest that was described in one article, and that article has larger number of citations An area of interest that was described in many articles, but those articles have lesser number of citations Versus
RepManNet Contact: repmannet_barrierefreiheit@univie.ac.at Authors: Susanne Blumesberger, Sonja Edler, Victoria Eisenheld, Maria Guseva, Doris Haslinger Lizenz: CC BY-NC-ND 4.0 How do I make my repository accessible? Access for All Accessible repositories are an important part of the open science ecosystem! WCAG Accessibility properties for metadata Guidelines on preparing accessible content for repositories • develop easy search, simple navigation and upload – whenever possible in multiple ways • implement metadata indicating accessibility properties • make sure that all necessary information is compact, clear and transparent • encourage to report accessibility issues and offer ongoing support user interface • be sure that your objects are accessible as possible – see guidelines on preparing accessible content for repositories • include comprehensive metadata – don’t forget metadata indicating accessibility properties content fullKeyboardControl fullMouseControl fullSwitchControl chartOnVisual fullTouchControl fullVideoControl fullVoiceControl auditory chemOnVisual colorDependent diagramOnVisual mathOnVisual musicOnVisual textOnVisual visual flashing noFlashingHazard motionSimulation noMotionSimulationHazard sound noSoundHazard annotations textual ARIA bookmarks index pageBreakMarkers pageNavigation readingOrder structuralNavigation tableOfContents taggedPDF alternativeText audioDescription closedCaptions describedMath longDescription openCaptions rubyAnnotations signLanguage transcript displayTransformability synchronizedAudioText timingControl unlocked ChemML latex MathML ttsMarkup highContrastAudio highContrastDisplay fullKeyboardControl fullMouseControl fullSwitchControl fullTouchControl fullVideoControl fullVoiceControl auditory chartOnVisual chemOnVisual colorDependent diagramOnVisual mathOnVisual musicOnVisual textOnVisual textual visual flashing noFlashingHazard motionSimulation noMotionSimulationHazard sound noSoundHazard annotations ARIA bookmarks index pageBreakMarkers pageNavigation readingOrder structuralNavigation tableOfContents taggedPDF alternativeText audioDescription closedCaptions describedMath longDescription openCaptions rubyAnnotations signLanguage transcript All people should be able to be a part of the scientific community without barriers! Constructing an accessible repository is • a collaborative effort of software developers, repository managers and data producers • an ongoing process – consider accessibility before you start a project and integrate it in the workflows on a permanent basis • demanding not only expert knowledge (consider WCAG!), but also participation of people with disabilities
Open Access portal for students and young researchers Mission: Providing Resources, Support and Advice for students and young researchers in their journey from writing to publishing their scientiﬁc papers Sample: 1000 students and young researchers from over 80 different countries PhD candidates 54% / Bachelor & Master students 28% / Post-Doc 15% / Other 3% Respond: Open Access portal for students and young researchers Webinars OA events Videos News Comments Connection to DOAJ search OA journal reviews OA Quiz OA trainings Connection on social media Infographics Certiﬁcation OA networks Online OA resources OAA portal content Open Access ??? OAA Contributors: Anna / @Anna_Pechenina USA Daniel / @d_mutonga Kenya Dusan / @dusandevic The Netherlands Iara / @iaravps Brazil Ivo / @ivocamposneto Portugal Lauren / @parnopaeus USA Meredith / @MeredithNiles1 USA Natalia / @natalianorori Nicaragua Prateek / @MahalwarPrateek Germany Slobodan / @RadicevSlobodan Italy Tom / @tompollard UK OA surveys Results after ﬁrst year: - 1 tutorial - 2 surveys - 2 presentation at conferences - 2 webinars - 10% grow of visitors per month - 12 contributors - 350 unique visitors per day - 1100 newsletter subscribers - 48.000 unique visitors Osman / @aldirdiri Sudan
Burgerdata inzetten voor een veiligere en gezondere schoolomgeving Recrutering & community building Data analyse & empowerment Inwoners toelichting geven bij het voornemen, dialoog aangaan, bezorgdheden capteren en uitnodigen om de effecten te meten aan de hand van sensoren. Iedereen heeft toegang tot de verkeersmetingen, ingewonnen via Telraam-toestellen en kan de situatie voor en tijdens de invoering van de proefopstelling bekijken door middel van het COMPAIR Policy Monitoring Dashboard (PMD). De schoolstraat wordt in het algemeen positief ervaren. Om beperkte overlast in buurtstraten te milderen en verkeersveiligheid verder te verbeteren stellen leerlingen, ouders, leerkrachten en buurtbewoners maatregelen voor (o.a. invoering zone 30 in heel het centrum, knip in parralle straat en sluiting zij- ingang school). Politie advies in voorbereiding Leerlingen, buurtbewoners en gemeente hebben een positieve ervaring opgedaan inzake burgerparticipatie. Lessons learned worden uitgedragen in het SOLVA-werkingsgebied. Meer info … Evaluatie, bijsturing & legacy Gemeente Herzele & Intercommunale SOLVA betrekken burgers, scholen en leerlingen bij de invoering van een schoolstraat. Samen wordt het verkeer & de luchtkwaliteit gemeten en geanalyseerd. Samen wordt de proefopstelling geëvalueerd en bijgestuurd. • Toename fietsverkeer in schoolstraat (3x) • Afname autoverkeer in schoolstraat (60%) • Toename autoverkeer in buurt (14%), met grote verschillen tussen straten +/- 700 students +/- 300 students school street +/- 300 students
p o li c y i n n o v a ti o n s tr a t e g ic d e si g n h a p p i n e s s & w e ll b e i n g textile artisans’ communities material tool by hands machinery digital tools quality skilled control personal identity material culture local ﬁbres: vegetal animal discarded research framework methodology a r t i s a n c o m m u n i t y large diﬀusion wide applications sustainability challenges t e x t i l e s utilitarian culturally meaningful aesthetic discover deﬁne develop deliver contextual interviews co-creation experts’ focus group shadowing service blueprint service ecosystem map o n t o l o g y diﬀerent stakeholders acknowledge multiple realities constructivism interpretivism participatory action research e p i s t e m o l o g y r e s e a r c h p a r a d i g m interaction with participants inﬂuences the research qualitative and ﬂexible process of in situ data collection Francesco Mazzarella PhD Student (1st Year) AHRC Design Star CDT F.Mazzarella@lboro.ac.uk Supervisors: Dr Escobar-Tello - Dr Mitchell an enabling ecosystem towards sustainability and social innovation service design for the future of textile artisans’ communities Textile artisanship is the human-centred economic activity of giving form and meaning to local natural ﬁbres, by hands or by directly controlling mechanised and digital tools, and managing the process of apparel making. research questions What are the barriers and enablers for textile artisans’ communities to become sustainable? How can service design be used to encourage such communities toward a sustainable future? How can an enabling ecosystem be codesigned to scale up innovation at a glocal level? area of study The global economic and environmental crisis is leading to the transition from a linear economy based on consumption and waste, towards new ethics of sustainability and cutting-edge business opportunities. Textile artisanship is an interesting opportunity for opening up ﬂexible and redistributed micro-enterprises, while bridging local realities with global markets. It is a key contributor to sustainable development as it catalyses cultural heritage, provides social employment, boosts creative economies and enhances environmental stewardship. This PhD aims to explore how service design can strategically contribute to encourage textile artisans’ communities towards a sustainable future. This means empowering artisans’ creative assets and social bonds, codesigning collaborative services and scaling up initiatives within an enabling ecosystem at a glocal level. small scale localised diversiﬁed ﬂexible service design sustainable development social innovation e n a b li n g e c o s y s t e m r e si li e n c y g l o c al m a r k e ts c r a ft c lu st e r s m a t e ri al c u lt u r e c r e a ti v e e c o n o m y ci r c u la r e c o n o m y h y b ri d t o u c h p o i n ts c o ll a b o r a ti v e s e r vi c e s d i g it al i n n o v a ti o n a i m f o c u s a p p r o a c h a i m making
The Governance of Digital Immortality & the Digital Afterlife Researcher: Khadiza Laskor khadiza.laskor@bristol.ac.uk https://www.bristol.ac.uk/cdt/cyber-security/ Supervisors: Professor Richard Owen Professor Andrew Charlesworth Digital Immortality & Digital Afterlife… …are terms that grew in prominence since the turn of the century. This prompted the emergence of ‘grief tech’ which includes the possibility to preserve and curate a virtual online persona from digital remains, enabling individuals to ‘live’ after their physical death. Governance & Regulation However, history is at risk of repeating itself: the ‘pacing problem’ (Collingridge, 1980) has often been observed when governing technology. This is the main theme being explored using ‘grief tech’ as a use case. Research Progress A systematic literature review on the framing of ‘Digital Immortality’ and ‘Digital Afterlife’, and the state of art of its governance, has revealed strong technological influences, with little emphasis on governance or regulation. This Year’s Focus Analysis of over 50 expert stakeholder interviews, with results from focus group discussions with the public (to be scheduled later) are expected to highlight how this innovation ought to be controlled, if at all. Further… …the combined results will be used to assess whether existing governance artefacts are able to protect an identifiable virtual online persona created by the individual before they died, or posthumously by a loved one. This multi-disciplinary PhD thesis utilises a flexible design process, based upon ‘Responsible Innovation’ (Owen et al, 2013). The approaches being adopted are empirico-inductive: thus, allowing for a comprehensive analysis in how such a nascent industry, loosely labelled as ‘grief tech’, could be governed. While the foci is on data left behind by the deceased, due to sensitivities associated with grief and bereavement, creative means are also being pursued.
ERSP - baseline, 0-50ms & 4-8Hz ERSP - random, 0-50ms & 4-8Hz -0.9 -0.4 0.1 0.7 1.2 (p-value) perm with fdr 1 0.1 0.01 0.001 ERSP - 1, 0-50ms & 8-12Hz ERSP - 4, 0-50ms & 8-12Hz -0.4 0.1 0.6 1.1 1.6 (p-value) perm with fdr 1 0.1 0.01 0.001 Background Method 32 cap-mounted electrodes Two sessions: count aloud 1-10 randomly count aloud 1-10 Count upon visual presentation question mark Epochs time-locked to question mark onset Preprocessing & power spectrum analysis in EEGLAB Bobby Ruijgrok & Olga Kepinska bobbyruijgrok@gmail.com Alpha and theta enhancement during self-ordered number generation [1] Petrides, M., Alivisatos, B., Meyer, E., & Evans, A. C. (1993). Functional activation of the human frontal cortex during the performance of verbal working memory tasks. Proceedings of the National Academy of Sciences of the United States of America, 90(3), 878–882. [2] Meyer, L. (2017). The neural oscillations of speech processing and language comprehension: state of the art and emerging mechanisms. European Journal of Neuroscience. https://doi.org/10.1111/ejn.13748 . Descriptive statistics 93 Dutch participants (71 female; 85 righthanded) Mage = 23.65, SE = 0.16 Accuracy count aloud: 100% Accuracy randomly count aloud: 59.12% Discussion Method Replicated finding of enhanced bilateral activity within the mid-dorsolateral frontal cortex Additional temporal and parietal activity Frontal distribution: Theta retrieval Alpha storage Verbal working memory (VWM) capacity tested by means of self-ordered number generation. PET-study Petrides et al. (1993) reported bilateral activa- tion mid-dorsolateral frontal cortex[1] Current study: power spectrum analysis on theta band (4-8Hz) and alpha band (8-12Hz). Storage and retrieval interplay of alpha and theta[2] . [Figure taken from Petrides et al. (1993)] Self-ordered minus control task. Merged PETMRI horizontal sections showing activation foci within the mid-dorsolateral frontal cortex. The schematic outlines of the brain indicate the level (interrupted lines) of the sections presented. The subject's left is on the left side in these sections. The coordinates (x, y, z) of the foci shown on the schematic outlines of the brain are 1, 40, 32, 30; 2, 35, 42, 22; and 1, 38, 39, 26. Results Theta Alpha
activity consulting / coordination / event Activities & Services A visual walk through 2019-05-05 | Andrea Scharnhorst - Femmy Admiraal - Dirk Roorda | DANS Austria (AT) Belgium (BE) Croatia (HR) Cyprus (CY) Denmark (DK) France (FR) Germany (DE) Greece (GR) Ireland (IE) Italy (IT) Luxembourg (LU) Netherlands (NL) Poland (PL) Portugal (PT) Serbia (RS) Slovenia (SI) activity resource creation / software development service access to resources / data hosting / processing / support uncert ain 15 a/cons ulting 17 a/event 52 a/resource creation 29 a/software development 21 s/access to resources 60 s/data hosting 15 s/processing service 25 s/support service 21 a/DARIAH coordination 34 DARIAH (in-kind) contributions