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Journal articles on the topic 'Scienze informatiche'

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Author: Grafiati

Published: 14 March 2023

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1

Erica Cimò. "L’importanza di essere connessi: L’educazione digitale nei curricoli scolastici dei sistemi educativi europei e il nuovo curricolo francese dedicato alle scienze digitali." IUL Research 1, no. 1 (July 24, 2020): 226–41. http://dx.doi.org/10.57568/iulres.v1i1.28.

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I curricoli scolastici dei sistemi educativi europei sono sempre più orientati verso la necessità di sviluppare competenze digitali in alunni e studenti, a partire dalla scuola primaria. In questa sede vengono trattati i seguenti temi: la definizione di competenza digitale, l’approccio curricolare all’insegnamento delle competenze digitali, i tempi di insegnamento, le aree di competenza digitale e i risultati di apprendimento, e le competenze digitali dei curricoli europei a confronto con il Quadro di riferimento europeo per le competenze digitali dei cittadini, DigComp. Infine, si presenta il curricolo francese nell’area delle scienze informatiche e digitali dell’istruzione secondaria superiore, oggetto di una recente riforma.

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2

Archer, Wendy, Stefano Consiglio, Paolo Ferri, Luca Pareschi, and Silvio Peroni. "Call for papers: Automatic understanding of texts in social and computer sciences." puntOorg International Journal 1, no. 1 (January 2019): 1. http://dx.doi.org/10.19245/25.05.cfp.05.

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Over the last 20 years, the use of automated and semi-automated techniques for extracting meanings from text have been widely debated in the social sciences. Automated and semi-automated techniques can be employed in all research phases: data collection (e.g. scraping), data cleaning (e.g. lemmatization of words), analysis (e.g. Named Entity Recognition, Part-of-speech Tagging, Topic Modeling, Keyword Analysis, Semantic Network Analysis, Sentiment Analysis), and visualization. Far from forcing epistemological choices, these techniques can be inductively used to deal with big corpora of data, impossible to work with for a human being. The debate produced great expectations, but substantive research results and the development of actual user friendly tools are still relatively scarce. Social researchers usually lack the technical skills to develop and integrate new research tools as instruments able to radically change the way the research is devised and conducted. Computer scientists, on the other hand, often lack regular opportunities to interact with social scientists in ways that would enable greater understanding and more widespread use to be derived from the introduction of new tools. Moreover, in social and organizational sciences, different researchers use different techniques, but both a broader reflection on the advantages and disadvantages of each technique, and an integration/comparison of different tools, are lacking. A critical review of how these techniques are used in social sciences is a valuable and welcome contribution that would enable researchers working in these areas to disentangle the technicalities of these numerous and diverse techniques and showcase the research approaches they are used for. This call for papers follows an initial stream of research developed by the CATARSI project at the University of Bologna. CATARSI (Comprensione Automatica di Testi e ARticoli nelle scienze Sociali e Informatiche – automatic understanding of texts and articles in social sciences and computer sciences) aims at tackling the interface between social sciences and information science and improving both the knowledge and the development of computer-based techniques for analyzing texts and extracting meanings. The issue tackled by CATARSI, thus, is cultural and practical, and its results will impact both on information science, which deals more with ontological aspects, and on the social sciences, which stand to benefit from the use of new instruments to improve the way knowledge is analyzed and created. This Call for Papers (CfP) aims thus at collecting contributions able to shed light on the current use of semi-automatic and computer-aided techniques for understanding texts and extracting meanings from them, especially within the social sciences. Topics include, but are not limited to: application of one or more semi-automated techniques to organizational studies; critical reviews on how semi-automated techniques are used to elicit meanings from texts in organization science; comparison of qualitative and computer-aided techniques in conducting research; analysis of the ways different techniques are used to grasp meaning from texts; cross-field and interdisciplinary applications of automatic analysis techniques; description of new tools and systems for the use and application of these methods; critical reviews on the evolution of automatic reading within social and organization science. We welcome different theoretical and empirical methodologies. Qualitative, quantitative, and experimental methodologies are welcome. Full paper submission deadline: 31st October 2019

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3

Pusceddu, C. "Review: Informatica per le scienze umanistiche (Informatics for the Humanistic Sciences)." Literary and Linguistic Computing 19, no. 4 (November 1, 2004): 531–34. http://dx.doi.org/10.1093/llc/19.4.531.

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4

Biderman, Albert D. "Informatique/informatics." Information Design Journal 6, no. 3 (January 1, 1991): 245. http://dx.doi.org/10.1075/idj.6.3.13bid.

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5

Masic, Izet. "Acta Informatica Medica Journal Review in 2021." Acta Informatica Medica 30, no. 1 (2022): 88. http://dx.doi.org/10.5455/aim.2022.30.88-90.

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Acta Informatica Medica journal (www.actainformmed.org), as Biomedical Informatics journal, during past 30 years of existing played important role in distribution of knowledge and experience within this scientific field, by publishing contributions of the biomedical experts from worlwide and spreading of Biomedical informatics knowledge and experiences in scientific and academic community. Acta Informatica Medica journal has been founded in the year 1993 as official journal of Bosnian-Herzegovinan Society of Medical Informatics (BHSMI). In the year 2019 Acta Informatica Medica has been accepted as official journal of the European Federation for Medical Informatics (www.efmi.org), besides 3 other journals: International Journal of Medical Informatics, Methods of Information in Medicine and European Journal of Biomedical Informatics. Journal Acta Informatica Medica is abstracted and indexed in 30 on-line data bases, including Pubmed, Pubmed Central, Scopus, Embase, Hinari, etc. The journal follows the Guidelines and recommendations of ICJME, COPE, EASE, WAME, etc. as well as the recommendations of the “Sarajevo Declaration on Integrity and Visibility of Scholarly Journals”, accepted by 17 Editors of biomedical journals at “SWEP 2018” Conference held in Sarajevo and printed in the countries in South-Eastern Europe. The journal supports presentations at conferences held in Bosnia and Herzegovina. The abstract papers presented at “The Mediterranean Seminar on Science Writing, Editing and Publishing“ – “SWEP 2016”, “SWEP 2018”; “SWEP 2020” and “SWEP 2021”, also found its place in the journal, by which we met our goal of promoting science and scientific publication at the area of Bosnia and Herzegovina and other countries in the region. SCImago rank for 2021 announced the bibliometric list of the journals deposited in SCOPUS indexed database. On the list are 16 journals which are published in Bosnia and Herzegovina, and between them are 7 within biomedical sciences. Three highest are Bosnian Journal of Basic Medical Sciences - H-Index is 29, Medical Archives - H-Index is 26 and Acta Informatica Medica - H-Index is 24, etc. Acta Informatica Medical journal has Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher updated on May 27, 2022: Impact Score - 1.87; h-Index - 24; Rank -12749 and SJR - 0.372.

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6

Sukiasyan, Eduard R. "Information Science in the System of Sciences." Bibliotekovedenie [Library and Information Science (Russia)], no. 5 (November 7, 2013): 28–31. http://dx.doi.org/10.25281/0869-608x-2013-0-5-28-31.

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There is given the expanded definition of the Informatics, basing upon the results of generalization of data of the sociological survey among scientists and experts, having participated in the Workshop “Methodological Problems of the Information Sciences”. The work was carried out in the interests of the adequate reflection of Informatics in the developing Section 1 “Interdisciplinary and General Scientific Knowledge” of the Library Bibliographic Classification (LBC).

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7

Shortliffe, Edward H. "Informatics as Science." Yearbook of Medical Informatics 31, no. 01 (August 2022): 303–6. http://dx.doi.org/10.1055/s-0042-1742541.

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The evolution of the informatics field, now with a well-accepted and crucial role in modern biomedicine and health care delivery, is the result of creative research over seven decades. The success is due in part to recognition that, throughout the process, investigators have documented not only what they have done but what they have learned, stimulating and guiding the next generation of projects. Such iterative experimentation, learning, sharing, and progressing is typical of all scientific disciplines. Yet progress depends on identifying key lessons, insights, and methods so that others can use them. This paper addresses the nature of scientific progress in informatics, recognizing that while the field is motivated by applications that can improve biomedicine and health, the scientific underpinnings must be identified and shared with others if the field is to progress optimally.

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8

Cervone, H. Frank. "Informatics and data science: an overview for the information professional." Digital Library Perspectives 32, no. 1 (February 8, 2016): 7–10. http://dx.doi.org/10.1108/dlp-10-2015-0022.

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Purpose – This paper aims to describe the emerging field of data science, its significance in the larger information landscape and some issues that distinguish the problems of data science and informatics from traditional approaches in the information sciences. Design/methodology/approach – Through a general overview of the topic, the author discusses some of the major aspects of how work in the data sciences and informatics differ from traditional library and information science. Findings – Data science and informatics, as emerging fields, are expanding our understanding of how the massive amount of information currently being generated can be collected, managed and used. While these may not be traditional “library” problems, the contributions of the library and information science communities are critical to help address aspects of these issues. Originality/value – The emerging fields of data science and informatics have not been extensively explored from the perspective of the information professional. This paper is designed to help information professionals better understand some of the implications of data science in a changing information environment.

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Bjørner, D. "Domain science and engineering from computer science to the sciences of informatics. Part II: science." Cybernetics and Systems Analysis 47, no. 2 (March 2011): 260–76. http://dx.doi.org/10.1007/s10559-011-9308-4.

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10

Wang, Yingxu, George Baciu, Yiyu Yao, Witold Kinsner, Keith Chan, Bo Zhang, Stuart Hameroff, et al. "Perspectives on Cognitive Informatics and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 1 (January 2010): 1–29. http://dx.doi.org/10.4018/jcini.2010010101.

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Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set of collective perspectives on cognitive informatics and cognitive computing, as well as their applications in abstract intelligence, computational intelligence, computational linguistics, knowledge representation, symbiotic computing, granular computing, semantic computing, machine learning, and social computing.

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11

Haux, R. "Medical Informatics: Once More Towards Systematization." Methods of Information in Medicine 35, no. 03 (May 1996): 189–92. http://dx.doi.org/10.1055/s-0038-1634667.

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Abstract:Commenting on a paper by Van Bemmel (Medical Informatics, Art or Science? [1]), the following questions are raised: What is the meaning of medical informatics?, How to systematize medical informatics?, Is medical informatics an art, a science or a technology?. It is argued that medical informatics is concerned with the systematic processing of data, information and knowledge in medicine and health care, and that medical informatics is not just the application of computers in these fields. Three classifications for medical informatics research and education are presented. It is concluded that medical informatics is a scientific medical discipline, similar to surgery, internal medicine, epidemiology, or microbiology; and that medical informatics has a strong relationship with the health sciences concerning its field of application, and to informatics concerning its methods and tools. It is a cross-sectional discipline, with relevance for virtually all other specialties of medicine and the health sciences. This is the reason for its impact on research and education in these specialties. It also causes that the quality of the processing of data, information and knowledge has a direct and considerable effect upon the quality of health care in practically all these specialties.

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Wang, Yingxu, Bernard Carlos Widrow, Bo Zhang, Witold Kinsner, Kenji Sugawara, Fuchun Sun, Jianhua Lu, Thomas Weise, and Du Zhang. "Perspectives on the Field of Cognitive Informatics and its Future Development." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 1 (January 2011): 1–17. http://dx.doi.org/10.4018/jcini.2011010101.

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The contemporary wonder of sciences and engineering has recently refocused on the beginning point of: how the brain processes internal and external information autonomously and cognitively rather than imperatively like conventional computers. Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. This paper reports a set of eight position statements presented in the plenary panel of IEEE ICCI’10 on Cognitive Informatics and Its Future Development contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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13

Nakaya, Jun, and Hiroshi Tanaka. "Research and Education for Biomedical Informatics at Tokyo Medical and Dental University." Yearbook of Medical Informatics 16, no. 01 (August 2007): 157–62. http://dx.doi.org/10.1055/s-0038-1638540.

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SummaryBased on a basic concept of “Systems Life Science: understanding life and disease as a unified system”, we move forward in research, empirical implementation, and making contributions to healthcare policy.We integrate bioinformatics and medical informatics for identifying critical issues in biological science and solving medical challenges with a concept of “Systems Life Science” which consists of “Systems Evolutionary Biology” for basic science, “Systems Pathology” for clinical sciences, and an empirical medical informatics for future medicine.Our laboratory is an integrated laboratory consisting of a computational biology group in the School of Biomedical Sciences (SBS), a bioinformatics group in the Medical Research Institute (MRI), and a medical informatics group in the Information Center for Medical Sciences (ICMS) with a philosophy of “Empirical Systems Life Science”.Based on the philosophy of “Empirical Systems Life Science”, we continue to forward our research, education, systems implementations, and international standardization efforts. We believe that this approach will become a fundamental and effective way to uncover many of the secrets of life processes, and to help/solve complex issues for future medicine in this post genomic era with exceedingly rapidly growing amounts of -omics data and knowledge.

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14

Yatsko, V. A. "Informatics, Information Science, and Computer Science." Scientific and Technical Information Processing 45, no. 4 (October 2018): 235–40. http://dx.doi.org/10.3103/s0147688218040081.

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15

Paul, P. K., R. R. Sinha, P. S. Aithal, Ricardo Saavedra, and Bashiru Aremu. "Agro Informatics with Reference to Features, Functions and Emergence as a Discipline in Agricultural Sciences: An Analysis." Asian Review of Civil Engineering 9, no. 1 (May 5, 2020): 23–31. http://dx.doi.org/10.51983/tarce-2020.9.1.2290.

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There are many interdisciplinary subjects worldwide and this trend is growing rapidly. Among these subjects, one of the important is Agricultural Information Science. Information Science deals with the nature of Interdisciplinary Sciences and also falls under the category of Applied Sciences. The field is very much synonymously and treated as equal to Informatics in some countries. The branch therefore also called as Agro Informatics and consists with both practicing nature and as a field of study. The applications of IT and Computing in other subjects and areas led to the development of other subjects such as Bio Informatics, Geo Informatics, Health Informatics, etc. Agricultural Informatics is growing rapidly and emerging as a field internationally in many countries. IT and computing applications in different areas, sectors and subjects including societal areas are considered as Information Science. Thus, Agricultural Informatics is socially connected or touched. Thus, the applications of Computing including the latest technologies in agriculture and allied areas treated as Agricultural Informatics. Though it is the application of more than technologies and includes the techniques, methodologies, procedure, etc into Agriculture. Agricultural Informatics is the analysis, management and processing of agricultural data with the help of IT Systems. Agriculture is also an interdisciplinary field and responsible for cultivating or producing the food, feed, fiber, corn, various plants, vegetables including the domesticated animals with scientific methods. Agricultural Informatics is therefore an interdisciplinary area combines with both Agricultural Sciences and allied areas with IT & Computing. This paper is theoretical as well as conceptual in nature and deals with mainly various aspects of Agricultural Informatics viz. foundation, nature and characteristics, role and functions in detail. It also briefly explores about the stakeholders and technologies of Agro Informatics.

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Paulz, P. K., R. R. Sinha, P. S. Aithal, Ricardo Saavedra, and Bashiru Aremu. "Agro Informatics with Reference to Features, Functions and Emergence as a Discipline in Agricultural Sciences: An Analysis." Asian Journal of Information Science and Technology 10, no. 1 (May 5, 2020): 41–50. http://dx.doi.org/10.51983/ajist-2020.10.1.298.

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There are many interdisciplinary subjects worldwide and this trend is growing rapidly. Among these subjects, one of the important is Agricultural Information Science. Information Science deals with the nature of Interdisciplinary Sciences and falls under the category of Applied Sciences. The field is very much synonymously and treated as equal to Informatics in some countries. The branch therefore also called as Agro Informatics and consists with both practicing nature and as a field of study. The applications of IT and Computing in other subjects and areas led to the development of other subjects such as Bio Informatics, Geo Informatics, Health Informatics, etc. Agricultural Informatics is growing rapidly and emerging as a field internationally in many countries. IT and computing applications in different areas, sectors and subjects including societal areas are considered as Information Science. Thus, Agricultural Informatics is socially connected or touched. Thus, the applications of Computing including the latest technologies in agriculture and allied areas treated as Agricultural Informatics. Though it is the application of more than technologies and includes the techniques, methodologies, procedure, etc into Agriculture. Agricultural Informatics is the analysis, management, and processing of agricultural data with the help of IT Systems. Agriculture is also an interdisciplinary field and responsible for cultivating or producing the food, feed, fiber, corn, various plants, vegetables including the domesticated animals with scientific methods. Agricultural Informatics is therefore an interdisciplinary area combines with both Agricultural Sciences and allied areas with IT & Computing. This paper is theoretical as well as conceptual in nature and deals with mainly various aspects of Agricultural Informatics viz. foundation, nature and characteristics, role and functions in detail. It also briefly explores about the stakeholders and technologies of Agro Informatics.

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Paul, P. K., R. R. Sinha, Pappachan Baby, K. S. Shivraj, Bashiru Aremu, and S. Mewada. "Agricultural Informatics as a Branch of Study in Information Sciences and Technology Domain-A Proposal towards Digital Agriculture." International Journal of World Policy and Development Studies, no. 66 (August 8, 2020): 56–65. http://dx.doi.org/10.32861/ijwpds.66.56.65.

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Agricultural Informatics is a valuable domain in the field of interdisciplinary sciences. This is responsible for the applications of Information Technology, Computing and similar technologies into the agricultural activities. This is the combination of Agricultural Science and Information Sciences. The field due to technological nature is much closed with the Agricultural Engineering or Agricultural Technology. There are many allied and similar nomenclature of the fields but all of these are primarily responsible for the same purpose. The field is rapidly increasing in recent past and most practiced in the developed nation. However, in developing countries as well Agricultural Informatics becomes an emerging field of practice and growing rapidly. Agricultural Informatics is growing both in pre and post agricultural activity. This branch is considered as branch of Information Sciences & Technology due to its technological applications in the field of agriculture and allied areas. Information Sciences are the broadest field within the allied branches and growing rapidly. Agricultural Informatics educational programs have started in recent past in different level and stream of education viz. science and technology. However within the broad periphery of Information Sciences it could be offered in other streams and under the wide variety of Information Sciences. This paper is broad and interdisciplinary in nature and deals with the aspects of the Information Sciences and Technology including features, nature, scope and also the potentialities in respect of Agricultural Informatics.

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Sushanth, V. Hirekalmath, and Mohamed Imranulla. "Dental Informatics: A Click to the Future." Journal of Oral Health and Community Dentistry 11, no. 2 (2017): 38–43. http://dx.doi.org/10.5005/jp-journals-10062-0009.

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ABSTRACT Biomedical informatics is one of the upgrading maturing disciplines. One of its subdisciplines, dental informatics, is beginning to emerge as its own entity. While there are numerous trained dental informaticians, dental faculty, and administrators, in general, they are not very familiar with dental informatics as an area of scientific inquiry. Scientific investigations in informatics center primarily around model formulation, system development, system implementation, and the study of effects. Informatics draws few of its scientific methods mainly from information science, computer science, cognitive science, and telecommunications. Dental informatics provides many types of research questions and methods from its parent discipline, biomedical informatics. However, there are indications that certain research questions in dental informatics require concrete solutions that have not yet been developed in other informatics fields. This article provides an overview of the unique features of biomedical and information sciences. How to cite this article Madhu PP, Kumar PGN, Prashant GM, Sushanth VH, Imranulla M, Nair AR. Dental Informatics: A Click to the Future. J Oral Health Comm Dent 2017;11(2):38-43.

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19

ZHONG, NING. "IMPENDING BRAIN INFORMATICS RESEARCH FROM WEB INTELLIGENCE PERSPECTIVE." International Journal of Information Technology & Decision Making 05, no. 04 (December 2006): 713–27. http://dx.doi.org/10.1142/s0219622006002283.

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Web Intelligence (WI)-based portal techniques (e.g. the wisdom Web, data mining, multi-agent, and data/knowledge grids) will provide a new powerful platform for Brain Sciences. New understanding and discovery of the human intelligence models in Brain Sciences (e.g. cognitive science, neuroscience, brain informatics) will yield new WI research and development. In this paper, we briefly investigate three high-impact research issues as well as present a case study, to demonstrate the potentials of Brain Informatics (BI) research from WI perspective.

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Paul, P. K., R. R. Sinha, Pappachan Baby, K. S. Shivraj, Bashiru Aremu, and S. Mewada. "Agricultural Informatics as a Branch of Study in Information Sciences and Technology Domain: A Proposal towards Digital Agriculture." Asian Journal of Science and Applied Technology 9, no. 1 (May 5, 2020): 1–9. http://dx.doi.org/10.51983/ajsat-2020.9.1.1054.

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Agricultural Informatics is an important and valuable domain in the field of interdisciplinary sciences. This is responsible for the applications of Information Technology, Computing, and similar technologies into the agricultural activities. This is the combination of Agricultural Science and Information Sciences. The field due to technological nature is very closed with the Agricultural Engineering or Agricultural Technology. There are many allied and similar nomenclature of the fields, but all of these are primarily responsible for the same purpose. The field is rapidly increasing in recent past and most practiced in the developed nation. However, in developing countries as well Agricultural Informatics becomes an emerging field of practice and growing rapidly. Agricultural Informatics is growing both in pre and post agricultural activity. This branch is considered as branch of Information Sciences & Technology due to its technological applications in the field of agriculture and allied areas. Information Sciences are the broadest field within the allied branches and growing rapidly. Agricultural Informatics educational programs have started in recent past in different level and stream of education viz. science and technology. However, within the broad periphery of Information Sciences it could be offered in other streams and under the wide variety of Information Sciences. This paper is broad and interdisciplinary in nature and deals with the aspects Information Sciences including features, basic role, Information Sciences and Technology, including features, nature, scope and also the potentialities in respect of Agricultural Informatics.

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Paul, P. K., P. S. Aithal, and A. Bhuimali. "Environmental Informatics and Educational Opportunities in Post Graduate level—Indian Potentialities based on International Scenario." IRA-International Journal of Management & Social Sciences (ISSN 2455-2267) 16, no. 2 (June 19, 2020): 45. http://dx.doi.org/10.21013/jmss.v16.n2.p2.

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The academic sector is changing rapidly and different components have been added in the academic components. The education systems including academic bodies, programs, educational institutes change different aspects in the recent past. The interdisciplinary sciences are booming internationally. Among the interdisciplinary subjects, Environmental Sciences is an important one. On the other hand, Information Science is also truly interdisciplinary. This Information Science is also called as Informatics. The fusion or combination of these two subjects led the new academic body called ‘Environmental Informatics’. Environmental Informatics is very close with exiting field Geo-Informatics and thus it is also called as an extension of Geo-Informatics. Environmental Informatics is the solution to different environmental affairs, issues, problems, etc. Internationally, many universities have started academic programs on Environmental Informatics leading to Certificate, Diploma, Bachelors, Masters, MPhil, PhD in the subject. The present paper is an overview of Environmental Informatics including its features, functions, stakeholders emphasizing the availability of Post Graduate Programs in the field. Paper highlighted the course contents, job prospects, carrier opportunities in brief. Paper also proposed the possible programs at Masters levels; which can be a good solution both for abroad and the Indian education system.

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22

Utami, Yulia, Desi Vinsensia, Aura Nissa, and Sulastri Sulastri. "Forecasting the Sum of New College Students with Linear Regression Approach." Jurnal Teknik Informatika C.I.T Medicom 14, no. 1 (March 30, 2022): 10–15. http://dx.doi.org/10.35335/cit.vol14.2022.231.pp10-15.

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Forecasting models are the result of developments in the field of science and technology that provide convenience in predicting future events. This paper aims to develop a linear regression model to predict the number of new students in the next year. The data to be used in this study is the total of students majoring in informatics engineering and information management during the last 5 years. Based on result obtained the number of student for department of Informatics Engineering is 198 people with a MAPE (Mean Absolute Percentage Error) score of 16.5%, and for the new students department of Informatic Management is 8 people with a MAPE score of 16.1%.

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23

Shortliffe, Edward H. "Medical Informatics Training at Stanford University School of Medicine." Yearbook of Medical Informatics 04, no. 01 (August 1995): 105–9. http://dx.doi.org/10.1055/s-0038-1638025.

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Abstract:Stanford University School of Medicine has offered graduate degrees in medical informatics since 1982. Located approximately 50 kilometers south of San Francisco near the city of Palo Alto, the university offers both MS and PhD degrees, combining research training with formal course requirements in clinical information sciences, bioinformatics, computer science, decision science, basic biomedicine, health economics, and social and ethical issues. Requirements are adapted to the varying backgrounds of trainees. Graduates of the program work in a variety of capacities, although the majority have sought careers in academia or in industrial research settings.

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Schleyer, T. K. "Dental Informatics: An Emerging Biomedical Informatics Discipline." Advances in Dental Research 17, no. 1 (December 2003): 4–8. http://dx.doi.org/10.1177/154407370301700103.

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Biomedical informatics is a maturing discipline. During the last forty years, it has developed into a research discipline of significant scale and scope. One of its subdisciplines, dental informatics, is beginning to emerge as its own entity. While there is a growing cadre of trained dental informaticians, dental faculty and administrators in general are not very familiar with dental informatics as an area of scientific inquiry. Many confuse informatics with information technology (IT), are unaware of its scientific methods and principles, and cannot relate dental informatics to biomedical informatics as a whole. This article delineates informatics from information technology and explains the types of scientific questions that dental and other informaticians typically explore. Scientific investigation in informatics centers primarily on model formulation, system development, system implementation, and the study of effects. Informatics draws its scientific methods mainly from information science, computer science, cognitive science, and telecommunications. Dental informatics shares many types of research questions and methods with its parent discipline, biomedical informatics. However, there are indications that certain research questions in dental informatics require novel solutions that have not yet been developed in other informatics fields.

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Bjørner, D. "Domain science and engineering from computer science to the sciences of informatics. Part I: Engineering." Cybernetics and Systems Analysis 46, no. 4 (July 2010): 609–23. http://dx.doi.org/10.1007/s10559-010-9237-7.

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26

Lakshmi, Dr I. "Emerging Directions and Current Activities Social Informatics in the Information Sciences." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 530–34. http://dx.doi.org/10.31142/ijtsrd9463.

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27

Colin de la Higuera. "La fête de la Science à Nantes : « Informatique et Sciences du Numérique »." Bulletin 1024, HS1 (February 2015): 91–92. http://dx.doi.org/10.48556/sif.1024.hs1.91.

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28

Moehr, J. R. "Where to in the Next Ten Years of Health Informatics Education?" Methods of Information in Medicine 45, no. 03 (2006): 283–87. http://dx.doi.org/10.1055/s-0038-1634076.

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Summary Objectives: To explore whether education in health/ medical informaticsa should continue to evolve along the lines pursued since the early seventies, or whether a change is advisable. Methods: Roots and key resulting characteristics for European and US American approaches HI education are identified. In Europe holistic approaches based on a synthesis of medicine and informatics (= computer science) with programs ranging from vocational training through university programs to doctoral and postdoctoral programs were characteristic. The US American approaches emphasized the higher levels of education and a diverse selection of specialized subjects. Changes in health and health informatics are summarized. Results: Two types of changes are identified: high-tech applications arising at the interface of imaging, robotics, and the -omics (genomics, proteomics, metabolomics), and invasive applications centering on consumer health informatics and a move from curative to prospective health care. Conclusions: It is proposed that curative medicine is adequately served by current educational approaches, but that the move towards prospective health care requires a move towards education and change management for health professionals and health informatics professionals.

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Wang, Yingxu, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang, and C. Bhavsar. "Cognitive Informatics and Cognitive Computing in Year 10 and Beyond." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 4 (October 2011): 1–21. http://dx.doi.org/10.4018/jcini.2011100101.

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Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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Reddington, Fiona, J. Max Wilkinson, Robin Clark, Helen Parkinson, Peter Kerr, and Richard Begent. "Cancer Informatics in the U.K.: The NCRI Informatics Initiative." Cancer Informatics 2 (January 2006): 117693510600200. http://dx.doi.org/10.1177/117693510600200027.

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The arrival of high-throughput technologies in cancer science and medicine has made the possibility for knowledge generation greater than ever before. However, this has brought with it real challenges as researchers struggle to analyse the avalanche of information available to them. A unique U.K.-based initiative has been established to promote data sharing in cancer science and medicine and to address the technical and cultural issues needed to support this.

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Hersh, W. "The Full Spectrum of Biomedical Informatics Research and Education at OHSU." Yearbook of Medical Informatics 14, no. 01 (August 2005): 167–72. http://dx.doi.org/10.1055/s-0038-1638237.

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Although the biomedical informatics field is small relative to others in the life and health sciences, the breadth of subject domains, types of research, and occupations is vast. The biomedical informatics program at Oregon Health & Science University exemplifies the breadth in the field. At the center of our full spectrum of activities in informatics, however, is a core philosophy of the discipline that drives our research, educational, and other programs.

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van Bemmel, Jan. "Medical Informatics, Art or Science?" Methods of Information in Medicine 35, no. 03 (May 1996): 157–72. http://dx.doi.org/10.1055/s-0038-1634664.

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Wyatt, J. "Medical Informatics, Artefacts or Science?" Methods of Information in Medicine 35, no. 03 (May 1996): 197–200. http://dx.doi.org/10.1055/s-0038-1634665.

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FUJITA, Daisuke. "Measurement Informatics in Surface Science." Vacuum and Surface Science 62, no. 3 (March 10, 2019): 122–29. http://dx.doi.org/10.1380/vss.62.122.

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Schwudke, D., A. Shevchenko, N. Hoffmann, and R. Ahrends. "Lipidomics informatics for life-science." Journal of Biotechnology 261 (November 2017): 131–36. http://dx.doi.org/10.1016/j.jbiotec.2017.08.010.

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Broderick, S., C. Suh, J. Nowers, B. Vogel, S. Mallapragada, B. Narasimhan, and K. Rajan. "Informatics for combinatorial materials science." JOM 60, no. 3 (March 2008): 56–59. http://dx.doi.org/10.1007/s11837-008-0035-x.

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Taufik, Raihan Aqila, and Miftahurrahma Rosyda. "Sistem Pendukung Keputusan Penentuan Profesi Mahasiswa Informatika Menggunakan Metode WP-RIASEC." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 3 (July 25, 2022): 1730. http://dx.doi.org/10.30865/mib.v6i3.4312.

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Informatic Program in Ahmad Dahlan University engaged in the field of informatics/computer science. At the Informatic Program in Ahmad Dahlan University, there are still many students who are confused when they want to decide which profession to pursue when they graduate. This is based on a questionnaire distributed to final semester students from the Informatics Program in Ahmad Dahlan University. From the distributed questionnaires, the results of the questionnaire were obtained, namely more than 50 percent of respondents were still confused in determining the professional field to be occupied when they graduated. In addition, in an interview conducted with a psychologist, he said that personality is very influential on a person's work. To help Ahmad Dahlan University Informatics Students in determining a profession, a decision support system was created that can help students of the department in determining the appropriate professional field based on the value of the course and their personality. The method used in this research is WP and RIASEC. The WP method plays a role in calculating the weight of each course value. While the RIASEC method plays a role in determining a person's personality which is the basis for determining appropriate professional alternatives based on their personality. The results of system testing that have been carried out on 10 respondents consisting of 7 students and 3 alumni from the Informatics Program in Ahmad Dahlan University have obtained test results with a value of 84.5, which means the system is running well and meets the existing standards.

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Ayache, Nicholas. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 114 (July 1, 2015): 891–900. http://dx.doi.org/10.4000/annuaire-cdf.11979.

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Cani, Marie-Paule. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 115 (November 1, 2016): 793–802. http://dx.doi.org/10.4000/annuaire-cdf.12595.

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LeCun, Yann. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 116 (June 15, 2018): 567–68. http://dx.doi.org/10.4000/annuaire-cdf.13178.

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Boissonnat, Jean-Daniel. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 117 (September 1, 2019): 555–65. http://dx.doi.org/10.4000/annuaire-cdf.14474.

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Abadi, Martin. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 111 (April 1, 2012): 805–10. http://dx.doi.org/10.4000/annuaire-cdf.1653.

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Chazelle, Bernard. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 113 (April 1, 2014): 801–9. http://dx.doi.org/10.4000/annuaire-cdf.2813.

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Abiteboul, Serge. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 112 (April 1, 2013): 747–54. http://dx.doi.org/10.4000/annuaire-cdf.977.

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Mathieu, Claire. "Informatique et sciences numériques." L’annuaire du Collège de France, no. 118 (December 30, 2020): 599–604. http://dx.doi.org/10.4000/annuaire-cdf.15993.

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Haux, R. "On Medical Informatics." Methods of Information in Medicine 28, no. 02 (April 1989): 66–68. http://dx.doi.org/10.1055/s-0038-1635552.

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Abstract:This paper summarizes the author’s point of view of defining medical informatics, to stimulate further discussions on how this “newly emerging discipline” should further proceed. We realize that the term “informatics” is related rather to the term “information science” than to “computer science”. Accordingly, medical informatics deals with the systematic processing of information in medicine. Many information systems in medicine are interrelated and can hardly be regarded as independent systems. As a result, medicine becomes gradually more an “empirical science of extreme complexity”. Because of its complexity and wide range of applications, medical informatics should be considered as a separate discipline, its aim being to contribute to the systematic processing of information in medicine. The contribution of medical informatics should be a better understanding of the human being and means for the provision of high quality patient care.

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Fields, C. "Genome Informatics." Science 264, no. 5160 (May 6, 1994): 854. http://dx.doi.org/10.1126/science.264.5160.854-a.

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Couzin, I. D. "An Informative Itinerary." Science 328, no. 5977 (April 22, 2010): 430. http://dx.doi.org/10.1126/science.1187332.

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Wang, Yingxu, Edmund T. Rolls, Newton Howard, Victor Raskin, Witold Kinsner, Fionn Murtagh, Virendrakumar C. Bhavsar, Shushma Patel, Dilip Patel, and Duane F. Shell. "Cognitive Informatics and Computational Intelligence." International Journal of Software Science and Computational Intelligence 7, no. 2 (April 2015): 50–69. http://dx.doi.org/10.4018/ijssci.2015040103.

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Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. Cognitive Computing (CC) is a novel paradigm of intelligent computing methodologies and systems based on CI that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This paper reports a set of position statements presented in the plenary panel of IEEE ICCI*CC'14 on Cognitive Informatics and Cognitive Computing. The summary is contributed by invited panelists who are part of the world's renowned researchers and scholars in the transdisciplinary field of cognitive informatics and cognitive computing.

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Kubina, Milan. "New approaches for teaching the networking courses at the Faculty of Management Science and Informatics." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 3 (October 15, 2017): 128–35. http://dx.doi.org/10.18844/prosoc.v4i3.2525.

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