Presentation on the occasion of the 60th anniversary of the Econometric Institute at Erasmus University Rotterdam. Rotterdam, The Netherlands, May 27, 2016.
Presentation at the 1st Moscow International Symposium in Scientometrics, Higher Education and Law Research. RUDN University, Moscow, Russia, November 20, 2019.
Social sciences research addressing societal challengesLudo Waltman
Presentation at the Faculty of Social and Behavioural Sciences, Leiden University, together with André Brasil. Leiden, the Netherlands, November 5, 2019.
Large-scale visualization of science: Methods, tools, and applicationsLudo Waltman
Presentation at the International Workshop on Data-driven Science Mapping, organized on the occasion of the 60th anniversary of the Department of Library and Information Science at Yonsei University. Seoul, South Korea, June 3, 2017.
How accurately does output reflect the nature and design of transdisciplinary research programmes?
Presentation at STI2014 by Elizabeth Koier and Edwin Horlings
Taking advantage of openness: understanding the variety of perspectives on op...OER Hub
There has been considerable coverage of the growth of Massive Open Online Courses (MOOCs) that give free access to courses that have familiar structures. However, there are many other ways in which Open Educational Resources are being used and influencing education. In the OER Research Hub we have worked across educational sectors looking at ways that OER are being adopted and used. In this paper we step back from some of the detailed work with collaborating projects to consider their different motivations and shared challenges. The case studies show how openness acts as inspiration, however the impact of openness can be harder to see. Our survey data is showing how open aspects can seem less important as projects seek to build to broad engagement, and that aims of widening access are challenged by findings that open education appeals to those who already have existing confidence and experience. The actions of the collaborating partners seek to address these issues for example through courses that help develop understanding of openness and by understanding the groups that they serve who have special needs.
Presentation on the occasion of the 60th anniversary of the Econometric Institute at Erasmus University Rotterdam. Rotterdam, The Netherlands, May 27, 2016.
Presentation at the 1st Moscow International Symposium in Scientometrics, Higher Education and Law Research. RUDN University, Moscow, Russia, November 20, 2019.
Social sciences research addressing societal challengesLudo Waltman
Presentation at the Faculty of Social and Behavioural Sciences, Leiden University, together with André Brasil. Leiden, the Netherlands, November 5, 2019.
Large-scale visualization of science: Methods, tools, and applicationsLudo Waltman
Presentation at the International Workshop on Data-driven Science Mapping, organized on the occasion of the 60th anniversary of the Department of Library and Information Science at Yonsei University. Seoul, South Korea, June 3, 2017.
How accurately does output reflect the nature and design of transdisciplinary research programmes?
Presentation at STI2014 by Elizabeth Koier and Edwin Horlings
Taking advantage of openness: understanding the variety of perspectives on op...OER Hub
There has been considerable coverage of the growth of Massive Open Online Courses (MOOCs) that give free access to courses that have familiar structures. However, there are many other ways in which Open Educational Resources are being used and influencing education. In the OER Research Hub we have worked across educational sectors looking at ways that OER are being adopted and used. In this paper we step back from some of the detailed work with collaborating projects to consider their different motivations and shared challenges. The case studies show how openness acts as inspiration, however the impact of openness can be harder to see. Our survey data is showing how open aspects can seem less important as projects seek to build to broad engagement, and that aims of widening access are challenged by findings that open education appeals to those who already have existing confidence and experience. The actions of the collaborating partners seek to address these issues for example through courses that help develop understanding of openness and by understanding the groups that they serve who have special needs.
As the popularity of Location-based Social Networks increases, designing accurate models for Point of-Interest (POI) recommendation receives more attention. POI recommendation is often performed by incorporating contextual information into previously designed recommendation algorithms. Some of the major contextual information that has been considered in POI recommendation are the location attributes (i.e., exact coordinates of a location, category, and check-in time), the user attributes (i.e., comments, reviews, tips, and check-in made to the locations), and other information, such as the distance of the POI from user’s main activity location and the social tie between users. The right selection of such factors can significantly impact the performance of the POI recommendation. However, previous research does not consider the impact of the combination of these different factors. In this article, we propose different contextual models and analyze the fusion of different major contextual information in POI recommendation. The major contributions of this article are as follows: (i) providing an extensive survey of context-aware location
recommendation; (ii) quantifying and analyzing the impact of different contextual information (e.g., social, temporal, spatial, and categorical) in the POI recommendation on available baselines and two new linear and non-linear models, which can incorporate all the major contextual information into a single recommendation model; and (iii) evaluating the considered models using two well-known real-world datasets. Our results indicate that while modeling geographical and temporal influences can improve recommendation quality, fusing all other contextual information into a recommendation model is not always the best strategy.
Knowledge Management in Healthcare AnalyticsGregory Nelson
The promise of actionable analytics in healthcare poses an inherent challenge as we seek to accelerate the time it takes to go from question to insight to action. The velocity of change, the demand for bigger data, the allure of advanced algorithms, the need for deeper insights, and the cost of inaction make knowledge capture and reuse an all too allusive goal.
In an evolving environment, healthcare organizations need to find ways to make greater use of prior investments in analytics products by reusing the commonalities of proven designs, metadata, business rules, captured learnings, and collaborative insights and applying them to future analytics products. By doing so in a strategic manner, they will be able to create rapid and efficient analytics processes and better manage time to value and reuse.
In this presentation, authors from two very different health systems with two very different patient populations will share their perspectives of the value of knowledge management and discuss the role of analytics in driving towards a learning health system. The authors will highlight opportunities and challenges using examples across clinical, financial, and operational domains.
The Role and Responsibilities of Statisticians in Clinical Trials Presentation to MedicReS 5th World Congress on October 19-25,2015 in New York by Shing Lee, PhD
Trustworthiness of AI based predictions Aachen 2024EwoutSteyerberg1
The trustworthiness of risk estimates may suffer from substantial model uncertainty and heterogeneity, limiting the practical applicability of prediction models. This presentation examines to what extent AI and machine learning approaches can improve predictions for patients and care-givers.
The presentations covers 3 main topics:
1. What do we need for individual patients?
I discuss internal vs external validity; and performance measures such as calibration vs discrimination
2. Trustworthy processes to build a prediction model
Can AI help, and what do humans achieve?
3. Types of uncertainty
I discuss some statistical aspects, model uncertainty, and heterogeneity between contexts of application
Previously, candidates were only able to join mainstream Business Administration or IT programmes, however they can now achieve a qualification which is both relevant and highly prestigious.
The Apprenticeship is suitable for Intelligence Analysts, Data Analysts and Officers and Managers working in financial, counter fraud, risk assessment, cyber threat and trend analysis roles in the following public and private sectors:
• Council Counter Fraud and Tax Collection departments
• HM Revenue & Customs
• Insurance and debt recovery companies
• Banking and financial services organisations
• IT organisations dealing with cyber threats
• Energy and utility companies
• HM Forces – Air Force, Army, Marines and Navy
• Police Forces
• Intelligence Agencies – MI5 and MI6
• UK Visa and Immigration Services
• Serious Fraud Office
What’s more, the qualification offers parity with analysts working at the highest levels of military intelligence operations
Linking Heterogeneous Scholarly Data Sources in an Interoperable Setting: the...Platforma Otwartej Nauki
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
THE IMPACT OF ELECTRONIC WORD OF MOUTH ON TOURISTS’ INTENTION OF DESTINATION ...Pubudu Weerasinghe
Electronic Word of Mouth(E-WOM) has become a significant factor that that affect tourists’ decision making process in the selection and narrowing down of travel destination choices. With the development of Information Technology infrastructure in Sri Lanka, there is an increasing trend for the adoption of E-WOM among local tourists. Therefore, objective of this research is to identify the effect of E-WOM on local tourists’ travel decisions.
Bibliometric visualization using VOSviewerLudo Waltman
Presentation at the workshop Research Output & Impact – New Tools and Concepts, organized at Technical University Denmark. Lyngby, Denmark, September 14, 2017.
Citation analysis: State of the art, good practices, and future developmentsLudo Waltman
Presentation at Bibliometrics & Research Assessment: A Symposium for Librarians & Information Professionals. Bethesda, MD, United States, October 31, 2016.
Comparing scientific performance across disciplines: Methodological and conce...Ludo Waltman
Presentation at the 7th International Conference on Information Technologies and Information Society (ITIS2015) in Novo Mestro, Slovenia on November 5, 2015.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
1. Responsible metrics: One size doesn’t fit all
Ludo Waltman
Centre for Science and Technology Studies (CWTS), Leiden University
23rd International Conference on Science and Technology Indicators (STI 2018)
Leiden, the Netherlands
September 13, 2018
3. One size doesn’t fit all
• Research evaluation is an umbrella term
• Responsible use of scientometrics depends on evaluative setting
• Micro-level vs. macro-level evaluation
2
4. Macro-level research evaluation
• Comprehensive in-depth evaluation is
impossible at the macro level
• Experts view the world through
indicators
• Indicators do not just support
evaluation, they enable it
3Source: National Science Board
Science & Engineering Indicators 2018
7. Implications of the micro-macro distinction
• Sophistication vs. simplicity
• Professional vs. citizen scientometrics
• Indicators vs. statistics
6
8. Sophistication vs. simplicity
• Macro level:
– Experts view the world through indicators
– Indicators need to have an unambiguous conceptual foundation and a high validity
– This typically requires a relatively high level of sophistication
• Micro level:
– Indicators do not so much provide information themselves; they point experts to potentially relevant
information
– Keeping indicators simple ensures that experts can truly reflect on what indicators tell them
7
10. Professional vs. citizen scientometrics
• Citizen scientometrics not meant to be
understood in an offensive manner!
• Macro level:
– Need for professional scientometrics
• Micro level:
– To ensure indicators are helpful in supporting expert
assessment, involvement of experts in choice and design
of indicators is essential
– Experts need to take on role as citizen scientometrician
9
11. Indicators vs. statistics
• Terminology:
– Metric: Direct measurement
– Indicator: Proxy of an underlying concept
– Statistic: Quantitative summary of a body of information
• Macro level:
– Concepts of interest need to be clearly specified a priori
– Preferred term: Indicator
• Micro level:
– No need to impose strong a priori interpretations
– Interpretation is given by experts during evaluation
– Preferred term: Statistic
10
12. Conclusion
• Responsible use of scientometrics depends on evaluative setting
• Macro-level vs. micro-level distinction offers example
– Macro level requires ‘classical scientometrics’
– Micro level requires ‘contextualized scientometrics’
• Meso-level evaluation
• Interdependencies between levels
• Need for more refined taxonomies of different types of evaluations
11