scholarly journals A Joint Workshop of QACOS and OSSPL

Author(s):  
Muhammad Ali Babar ◽  
Björn Lundell ◽  
Frank van der Linden
Keyword(s):  
2019 ◽  
Vol 53 (2) ◽  
pp. 3-10
Author(s):  
Muthu Kumar Chandrasekaran ◽  
Philipp Mayr

The 4 th joint BIRNDL workshop was held at the 42nd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) in Paris, France. BIRNDL 2019 intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated different paper sessions and the 5 th edition of the CL-SciSumm Shared Task.


2020 ◽  
pp. 1-18
Author(s):  
Anne Carolin Schäfer ◽  
Annemarie Schmidt ◽  
Angela Bechthold ◽  
Heiner Boeing ◽  
Bernhard Watzl ◽  
...  

Abstract In the past, food-based dietary guidelines (FBDGs) were derived nearly exclusively by using systematic reviews on diet-health-relationships and translating dietary reference values for nutrient intake into foods. This approach neglects many other implications that dietary recommendations have on society, the economy and environment. In view of pressing challenges, such as climate change and the rising burden of diet-related diseases, the simultaneous integration of evidence-based findings from different dimensions into FBDGs is required. Consequently, mathematical methods and data processing are evolving as powerful tools in nutritional sciences. The possibilities and reasons for the derivation of FBDGs via mathematical approaches were the subject of a joint workshop hosted by the German Nutrition Society (DGE) and the Federation of European Nutrition Societies (FENS) in September 2019 in Bonn, Germany. European scientists were invited to discuss and exchange on the topics of mathematical optimisation for the development of FBDGs and different approaches to integrate various dimensions into FBDGs. We concluded that mathematical optimisation is a suitable tool to formulate FBDGs finding trade-offs between conflicting goals and taking several dimensions into account. We identified a lack of evidence for the extent to which constraints and weights for different dimensions are set and the challenge to compile diverse data that suit the demands of optimisation models. We also found that individualisation via mathematical optimisation is one perspective of FBDGs to increase consumer acceptance, but the application of mathematical optimisation for population-based and individual FBDGs requires more experience and evaluation for further improvements.


1998 ◽  
Vol 5 (2) ◽  
pp. 145-164
Author(s):  
Steven Miller ◽  
Ryukichi Imai
Keyword(s):  

2021 ◽  
Vol 40 (11) ◽  
pp. 837-838
Author(s):  
Brandon Dugan ◽  
Sebastian Krastel ◽  
Laurie Whitesell ◽  
Christoph Böttner ◽  
Ulrich Harms ◽  
...  

SEG and the German Geophysical Society (DGG) held their first joint workshop in early March at DGG's 2021 Annual Meeting. The workshop was part of a new cooperative aim between DGG and SEG to promote engagement between the societies, to foster growth in geophysics, and to expand the community of scientists and engineers tackling important geophysical problems. The 2021 workshop theme, “Scientific Drilling,” was chosen because scientific drilling provides access to rocks and fluids in the subsurface that are essential for ground truthing interpretations from geophysical data and geologic interpretation, for providing samples and in-situ data for detailed characterization, and for providing inputs to models. Consequently, the workshop aimed to attract interest across many subfields of geophysics.


2021 ◽  
Author(s):  
Bei Liu ◽  
Jianlong Fu ◽  
Shizhe Chen ◽  
Qin Jin ◽  
Alexander Hauptmann ◽  
...  

2020 ◽  
Author(s):  
Meghan Bradway ◽  
Rebecca L Morris ◽  
Alain Giordanengo ◽  
Eirik Årsand

Abstract Background: Individuals with diabetes are using mobile health (mHealth) to make and track their decisions regarding self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system. Methods: The first workshop (2017) included patients with Type 2 Diabetes (T2D) (n=4) and general practitioners (GPs) (n=3). The second workshop (2018) included patients with Type 1 Diabetes (T1D) (n=5), diabetes specialists (n=2) and a nurse. The workshops involved two sessions: separate morning sessions for patients and healthcare providers (HCPs), followed by a joint lunch and afternoon session for all participants together. A discussion guide was used to gather input regarding end-users’ expectations for the system. Participants then created and explained their own ideas for a data-sharing system, using paper-prototypes. Workshops were audio recorded, transcribed and translated from Norwegian to English. Inductive thematic analysis was performed. Results: The main emergent themes were mHealth technologies’ impacts on end-users, and functionalities of a data-sharing system. Patients and providers agreed that PGD could be used by HCPs to provide more concrete self-management recommendations. Participants made paper-prototypes to explain which data types to gather and display, and how the systems could be used to facilitate shared-decision making. However, all also agreed that a data-sharing system alone was not enough to achieve the full effect of mHealth. Conclusion: Participants’ feedback revealed that both patients and HCPs alike acknowledge that for mHealth integration to be successful, not only must the technology be validated but feasible changes throughout the healthcare education and practice must be addressed. Only then can both sides be adequately prepared for mHealth data-sharing in diabetes consultations. Subsequently, the design of the joint workshop sessions demonstrated that involving both participant groups in the same sessions led to efficient and concrete discussions about realistic solutions and limitations of sharing mHealth data in consultations.


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