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48 Research products

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Book of Abstracts. 13th International Conference on Biosystems Engineering 2023, May 10–12, 2023 Tartu, Estonia. Estonian University of Life Sciences.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ EMU DSpacearrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ EMU DSpacearrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Raja, Hadi Ashraf; Raval, Hardik; Vaimann, Toomas; Kallaste, Ants; +2 Authors

    Funding Information: This research leading to these results has received funding from the PSG453, Digital twin for propulsion drive of autonomous electric vehicles” and ETAG21001, “Industrial internet methods for electrical energy conversion systems monitoring and diagnostics”. Publisher Copyright: © 2022 IEEE. A cost-efficient condition monitoring and fault diagnostic system are presented in this paper using the Internet of Things and machine learning. Most condition monitoring systems nowadays are either costly or used to monitor current values without emphasizing the analysis part. On the other hand, predictive maintenance of different electrical machines, including BLDC motors, is becoming the need of the hour. It reduces the cost needed for maintenance and can also be used to evade more significant faults in the machine. The data is transmitted in real-time using a data acquisition system onto the cloud, which is further processed to determine if there is a chance of any fault occurring in the motor. A short comparison of the results of different machine learning algorithms is also discussed related to predictive maintenance. Peer reviewed

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    Article . 2022 . Peer-reviewed
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1109/diagno...
    Conference object . 2022 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Aaltodoc Publication...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Article . 2022 . Peer-reviewed
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      https://doi.org/10.1109/diagno...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Maksimova, Mariia; Alishani, Art; Solvak, Mihkel; Krimmer, Robert;

    As interest in the digital transformation of public administration grows, the main challenge remains to improve government governance systems and integrate a wider range of evidence into decisionmaking processes. The successful digitalization and application of such approaches improves the quality, responsiveness and flexibility of public administrations. The digialtization of processes has made it possible to use micro-level data to assess the impact of a policy or program and apply the feedback to improve the design and delivery of public services. Evidence-based policy-making evaluates programs based on their visible impacts. Large-scale data collected through digitized governance, coupled with econometric impact assessment, provides an ideal working toolkit for this. However, the current situation of European governments is one of slow adoption, as they are often slow to respond to new challenges. This is due to the static one-off impact assessment approaches used, the results of which quickly become outdated. With further digitalization, improvement of systems, and a rapidly changing situation, there is a need to speed up institutions’ ability to quickly draw working solutions to offset the effects of unexpected events in society and economy and react without delays if policy effects dissipate. This paper demonstrates how a high level of digitalization in government allows addressing such issues by automating causal impact assessment and making it a continuous part of the service delivery. The use case is an automated system for assessing active labour market policies in Estonia using individual-level data from government digital registers. Building on this, it shows how impact assessment automation depends on automatically generated data, only available due to the digitalization of other public services, and how versatile it is when it comes to proving casual evidence in a suddenly changing environment.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DSpace at Tartu Univ...arrow_drop_down
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    DSpace at Tartu University Library
    Article . 2022
    License: CC BY NC ND
    https://doi.org/10.1145/354343...
    Other literature type . Conference object . 2022 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DSpace at Tartu Univ...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Article . 2022
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      https://doi.org/10.1145/354343...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Marc Estiarte; Inger Kappel Schmidt; Lazar Kesic; Petr Holub; +14 Authors

    AbstractPlant community biomass production is co‐dependent on climatic and edaphic factors that are often covarying and non‐independent. Disentangling how these factors act in isolation is challenging, especially along large climatic gradients that can mask soil effects. As anthropogenic pressure increasingly alters local climate and soil resource supply unevenly across landscapes, our ability to predict concurrent changes in plant community processes requires clearer understandings of independent and interactive effects of climate and soil. To address this, we developed a multispecies phytometer (i.e., standardized plant community) for separating key drivers underlying plant productivity across gradients. Phytometers were composed of three globally cosmopolitan herbaceous perennials, Dactylis glomerata, Plantago lanceolata, and Trifolium pratense. In 2017, we grew phytometer communities in 18 sites across a pan‐European aridity gradient in local site soils and a standardized substrate and compared biomass production. Standard substrate phytometers succeeded in providing a standardized climate biomass response independent of local soil effects. This allowed us to factor out climate effects in local soil phytometers, establishing that nitrogen availability did not predict biomass production, while phosphorus availability exerted a strong, positive effect independent of climate. Additionally, we identified a negative relationship between biomass production and potassium and magnesium availability. Species‐specific biomass responses to the environment in the climate‐corrected biomass were asynchronous, demonstrating the importance of species interactions in vegetation responses to global change. Biomass production was co‐limited by climatic and soil drivers, with each species experiencing its own unique set of co‐limitations. Our study demonstrates the potential of phytometers for disentangling effects of climate and soil on plant biomass production and suggests an increasing role of P limitation in the temperate regions of Europe.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Ecosphere; OpenAPC G...arrow_drop_down
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    Ecosphere; OpenAPC Global Initiative
    Article . Conference object . 2021 . Peer-reviewed
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Ecosphere
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Ecosphere; OpenAPC G...arrow_drop_down
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      Ecosphere; OpenAPC Global Initiative
      Article . Conference object . 2021 . Peer-reviewed
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      Ecosphere
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Raja, Hadi Ashraf; Vaimann, Toomas; Rassolkin, Anton; Kallaste, Ants; +1 Authors

    Funding Information: This research has been supported by the Estonian Research Council under grant PSG453 “Digital twin for propulsion drive of autonomous electric vehicle”. The research leading to these results has received funding from the [EEA]/ [Norway] Grants 2014-2021, “Industrial Internet methods for electrical energy conversion systems monitoring and diagnostics”. Publisher Copyright: © 2021 IEEE. Internet of Things (IoT) has seen rapid growth along with the recent advancement in information and communication area. With the introduction of new technologies, it has become easier to interact with machines and communicate with them. IoT cannot only be used to communicate and control these machines but it can be used further in diagnostics related to the detection or prediction of faults. As the infrastructure is advancing at a rapid speed, it has also become a need of the hour to update the way diagnostics and maintenance are carried out over them, to not only save cost but also time. This paper is a work in progress, where these opportunities will be explored in the context of IoT industrial applications. Peer reviewed

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    Article . 2021 . Peer-reviewed
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    VIRTA
    Conference object . 2021
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    https://research.aalto.fi/file...
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1109/pemc48...
    Conference object . 2021 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Aaltodoc Publication...arrow_drop_down
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      VIRTA
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      https://research.aalto.fi/file...
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      https://doi.org/10.1109/pemc48...
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    Authors: Lee Frelich;

    Global forest area is declining rapidly, along with degradation of the ecological condition of remaining forests. Hence it is necessary to adopt forest management approaches that can achieve a balance between (1) human management designs based on homogenization of forest structure to efficiently deliver economic values and (2) naturally emerging self-organized ecosystem dynamics that foster heterogeneity, biodiversity, resilience and adaptive capacity. Natural disturbance-based management is suggested to provide such an approach. It is grounded on the premise that disturbance is a key process maintaining diversity of ecosystem structures, species and functions, and adaptive and evolutionary potential, which functionally link to sustainability of ecosystem services supporting human well-being. We review the development, ecological and evolutionary foundations and applications of natural disturbance-based forest management. We compare this approach with two main practices employed for sustainable forest management, retention and continuous-cover forestry. We conclude that these approaches potentially fail to achieve broad sustainability because they are not compatible with current understanding of multiple-scale ecological processes and structures, which underlie biodiversity, resilience and adaptive potential of forest ecosystems. Compared with retention and continuous-cover forestry, natural disturbance-based management provides a more comprehensive framework for reconciling human needs of commodity production and immaterial values with nature’s self-organized properties promoting healthy, diverse, and resilient forest ecosystems in the rapidly changing global environment.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Frontiers in Forests...arrow_drop_down
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    Frontiers in Forests and Global Change
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    Frontiers in Forests and Global Change; OpenAPC Global Initiative
    Article . Conference object . 2021 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Frontiers in Forests...arrow_drop_down
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      Frontiers in Forests and Global Change
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      Frontiers in Forests and Global Change; OpenAPC Global Initiative
      Article . Conference object . 2021 . Peer-reviewed
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    Authors: Olt, Jüri (editor); Kikas, Timo (editor); Meneses, Lisandra (editor);

    Book of Abstracts. 12th International Conference on Biosystems Engineering 2021, May 5–7, 2021 Tartu, Estonia. Estonian University of Life Sciences.

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    Authors: Jaan Praks; Agris Brauns; Dainis Jakovels;

    Short temporal baseline regular Synthetic Aperture Radar (SAR) interferometry is a tool well suited for wide area monitoring of agricultural activities, urgently needed in European Union Common Agricultural Policy (CAP) enforcement. In this study, we demonstrate and describe in detail, how mowing and ploughing events can be identified from Sentinel-1 6-day interferometric coherence time series. The study is based on a large dataset of 386 dual polarimetric Sentinel-1 VV/VH SAR and 351 Sentinel-2 optical images, and nearly 2000 documented mowing and ploughing events on more than 1000 parcels (average 10.6 ha, smallest 0.6 ha, largest 108.5 ha). Statistical analysis revealed that mowing and ploughing cause coherence to increase when compared to values before an event. In the case of mowing, the coherence increased from 0.18 to 0.35, while Sentinel-2 NDVI (indicating the amount of green chlorophyll containing biomass) at the same time decreased from 0.75 to 0.5. For mowing, there was virtually no difference between the polarisations. After ploughing, VV-coherence grew up to 0.65 and VH-coherence to 0.45, while NDVI was around 0.2 at the same time. Before ploughing, both coherence and NDVI values were very variable, determined by the agricultural management practices of the parcel. Results presented here can be used for planning further studies and developing mowing and ploughing detection algorithms based on Sentinel-1 data. Besides CAP enforcement, the results are also useful for food security and land use change detection applications.

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    Remote Sensing; OpenAPC Global Initiative
    Article . Conference object . 2020 . Peer-reviewed
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      Remote Sensing; OpenAPC Global Initiative
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    Authors: Tokarz, Krzysztof; Czekalski, Piotr; Drabik, Gabriel; Paduch, Jaroslaw; +6 Authors

    In this innovative practice full paper we present the implementation of the distant laboratory for the Internet of Things teaching and training. The recent outbreak of the SARS-COV-2 virus and related COVID-19 pandemic throughout the world has caused governments across the world to shut down schools and universities, to slow down the spread of the coronavirus that is causing the disease. As a result, some universities and schools have switched from physical classrooms to virtual or online classrooms. This approach is working well for theoretical subjects and courses, but it is not straight forward in the case of laboratory subjects and courses that require access to hardware resources. The IOT-OPEN.EU remote laboratory infrastructure presented in this paper is a timely solution. In this paper, we present current advances in distant learning, distant laboratory models, and the IOT-OPEN.EU remote laboratory implemented as part of the IOT-OPEN.EU ERASMUS+ project, along with short analysis on current advances in distant learning, where students are interacting with physical hardware remote way.

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    WHO Global literature on coronavirus disease
    Article . Conference object . 2020 . Peer-reviewed
    License: IEEE Copyright
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      WHO Global literature on coronavirus disease
      Article . Conference object . 2020 . Peer-reviewed
      License: IEEE Copyright
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    Authors: Lars Tönges; Tino Prell; Heinz-Peter Herbst; Jochen Klucken; +1 Authors

    Access to specialized care is essential for people with Parkinson´s disease (PD). Given the growing number of people with PD and the lack of general practitioners and neurologists, particularly in rural areas in Germany, specialized PD staff (PDS), such as PD nurse specialists and Parkinson Assistants (PASS), will play an increasingly important role in the care of people with PD over the coming years. PDS have several tasks, such as having a role as an educator or adviser for other health professionals or an advocate for people with PD to represent and justify their needs. PD nurse specialists have been established for a long time in the Netherlands, England, the USA, and Scandinavia. In contrast, in Germany, distinct PDS models and projects have been established. However, these projects and models show substantial heterogeneity in terms of access requirements, education, theoretical and practical skills, principal workplace (inpatient vs. outpatient), and reimbursement. This review provides an overview of the existing forms and regional models for PDS in Germany. PDS reimbursement concepts must be established that will foster an implementation throughout Germany. Additionally, development of professional roles in nursing and more specialized care in Germany is needed.

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    Journal of Clinical Medicine; OpenAPC Global Initiative
    Article . Conference object . 2020 . Peer-reviewed
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    Journal of Clinical Medicine
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      Journal of Clinical Medicine; OpenAPC Global Initiative
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Book of Abstracts. 13th International Conference on Biosystems Engineering 2023, May 10–12, 2023 Tartu, Estonia. Estonian University of Life Sciences.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Raja, Hadi Ashraf; Raval, Hardik; Vaimann, Toomas; Kallaste, Ants; +2 Authors

    Funding Information: This research leading to these results has received funding from the PSG453, Digital twin for propulsion drive of autonomous electric vehicles” and ETAG21001, “Industrial internet methods for electrical energy conversion systems monitoring and diagnostics”. Publisher Copyright: © 2022 IEEE. A cost-efficient condition monitoring and fault diagnostic system are presented in this paper using the Internet of Things and machine learning. Most condition monitoring systems nowadays are either costly or used to monitor current values without emphasizing the analysis part. On the other hand, predictive maintenance of different electrical machines, including BLDC motors, is becoming the need of the hour. It reduces the cost needed for maintenance and can also be used to evade more significant faults in the machine. The data is transmitted in real-time using a data acquisition system onto the cloud, which is further processed to determine if there is a chance of any fault occurring in the motor. A short comparison of the results of different machine learning algorithms is also discussed related to predictive maintenance. Peer reviewed

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    https://doi.org/10.1109/diagno...
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      Article . 2022 . Peer-reviewed
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      https://doi.org/10.1109/diagno...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Maksimova, Mariia; Alishani, Art; Solvak, Mihkel; Krimmer, Robert;

    As interest in the digital transformation of public administration grows, the main challenge remains to improve government governance systems and integrate a wider range of evidence into decisionmaking processes. The successful digitalization and application of such approaches improves the quality, responsiveness and flexibility of public administrations. The digialtization of processes has made it possible to use micro-level data to assess the impact of a policy or program and apply the feedback to improve the design and delivery of public services. Evidence-based policy-making evaluates programs based on their visible impacts. Large-scale data collected through digitized governance, coupled with econometric impact assessment, provides an ideal working toolkit for this. However, the current situation of European governments is one of slow adoption, as they are often slow to respond to new challenges. This is due to the static one-off impact assessment approaches used, the results of which quickly become outdated. With further digitalization, improvement of systems, and a rapidly changing situation, there is a need to speed up institutions’ ability to quickly draw working solutions to offset the effects of unexpected events in society and economy and react without delays if policy effects dissipate. This paper demonstrates how a high level of digitalization in government allows addressing such issues by automating causal impact assessment and making it a continuous part of the service delivery. The use case is an automated system for assessing active labour market policies in Estonia using individual-level data from government digital registers. Building on this, it shows how impact assessment automation depends on automatically generated data, only available due to the digitalization of other public services, and how versatile it is when it comes to proving casual evidence in a suddenly changing environment.

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    DSpace at Tartu University Library
    Article . 2022
    License: CC BY NC ND
    https://doi.org/10.1145/354343...
    Other literature type . Conference object . 2022 . Peer-reviewed
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      Article . 2022
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      https://doi.org/10.1145/354343...
      Other literature type . Conference object . 2022 . Peer-reviewed
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    Authors: Marc Estiarte; Inger Kappel Schmidt; Lazar Kesic; Petr Holub; +14 Authors

    AbstractPlant community biomass production is co‐dependent on climatic and edaphic factors that are often covarying and non‐independent. Disentangling how these factors act in isolation is challenging, especially along large climatic gradients that can mask soil effects. As anthropogenic pressure increasingly alters local climate and soil resource supply unevenly across landscapes, our ability to predict concurrent changes in plant community processes requires clearer understandings of independent and interactive effects of climate and soil. To address this, we developed a multispecies phytometer (i.e., standardized plant community) for separating key drivers underlying plant productivity across gradients. Phytometers were composed of three globally cosmopolitan herbaceous perennials, Dactylis glomerata, Plantago lanceolata, and Trifolium pratense. In 2017, we grew phytometer communities in 18 sites across a pan‐European aridity gradient in local site soils and a standardized substrate and compared biomass production. Standard substrate phytometers succeeded in providing a standardized climate biomass response independent of local soil effects. This allowed us to factor out climate effects in local soil phytometers, establishing that nitrogen availability did not predict biomass production, while phosphorus availability exerted a strong, positive effect independent of climate. Additionally, we identified a negative relationship between biomass production and potassium and magnesium availability. Species‐specific biomass responses to the environment in the climate‐corrected biomass were asynchronous, demonstrating the importance of species interactions in vegetation responses to global change. Biomass production was co‐limited by climatic and soil drivers, with each species experiencing its own unique set of co‐limitations. Our study demonstrates the potential of phytometers for disentangling effects of climate and soil on plant biomass production and suggests an increasing role of P limitation in the temperate regions of Europe.

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    Ecosphere; OpenAPC Global Initiative
    Article . Conference object . 2021 . Peer-reviewed
    License: CC BY
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    Ecosphere
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      Ecosphere; OpenAPC Global Initiative
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    Authors: Raja, Hadi Ashraf; Vaimann, Toomas; Rassolkin, Anton; Kallaste, Ants; +1 Authors

    Funding Information: This research has been supported by the Estonian Research Council under grant PSG453 “Digital twin for propulsion drive of autonomous electric vehicle”. The research leading to these results has received funding from the [EEA]/ [Norway] Grants 2014-2021, “Industrial Internet methods for electrical energy conversion systems monitoring and diagnostics”. Publisher Copyright: © 2021 IEEE. Internet of Things (IoT) has seen rapid growth along with the recent advancement in information and communication area. With the introduction of new technologies, it has become easier to interact with machines and communicate with them. IoT cannot only be used to communicate and control these machines but it can be used further in diagnostics related to the detection or prediction of faults. As the infrastructure is advancing at a rapid speed, it has also become a need of the hour to update the way diagnostics and maintenance are carried out over them, to not only save cost but also time. This paper is a work in progress, where these opportunities will be explored in the context of IoT industrial applications. Peer reviewed

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