Jana Lasser

Jana Lasser
Graz University of Technology | TU Graz

Dr. rer. nat.

About

42
Publications
6,258
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270
Citations
Introduction
I am a PostDoc at David Garcia's Computational Social Science lab at the Graz University of Technology and the Complexity Science Hub Vienna. Drawing from my experience in nonlinear dynamical systems, my current research activity centres around emergent phenomena in complex social systems. I employ methods from machine learning, data science, and computer simulations to understand a diverse range of topics, from emotion dynamics to the spread of diseases and misinformation.

Publications

Publications (42)
Article
Background Returning universities to full on-campus operations while the COVID-19 pandemic is ongoing has been a controversial discussion in many countries. The risk of large outbreaks in dense course settings is contrasted by the benefits of in-person teaching. Transmission risk depends on a range of parameters, such as vaccination coverage and ef...
Preprint
Full-text available
Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness during pandemics, or other shocks thin out these networks, the system might be pushed closer to a tipping point where it loses its ability to deliver care to the populatio...
Article
Full-text available
We aim to identify those measures that effectively control the spread of SARS-CoV-2 in Austrian schools. Using cluster tracing data we calibrate an agent-based epidemiological model and consider situations where the B1.617.2 (delta) virus strain is dominant and parts of the population are vaccinated to quantify the impact of non-pharmaceutical inte...
Preprint
Full-text available
Returning universities to full on-campus operations while the COVID-19 pandemic is ongoing has been a controversial discussion in many countries. The risk of large outbreaks in dense course settings is contrasted by the benefits of in-person teaching. Transmission risk depends on a range of parameters, such as vaccination coverage and efficacy, num...
Technical Report
Full-text available
Program duševnega zdravja in dobrega počutja raziskovalcev 11. oktober 2021 Dokument je bil odobren za objavo 8. oktobra 2021. Dokument je objavljen pod licenco CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0/
Technical Report
Full-text available
L'acció ReMO COST és una xarxa amb participants de tots els nivells de la comunitat investigadora, i ha elaborat un Manifest de salut mental i benestar dels investigadors per evaluar com es pot nodrir i mantenir la bona salut mental i el benestar dels investigadors mitjançant iniciatives a nivell polític, institucional, comunitari i individual. Aq...
Article
Due to its high lethality among older people, the safety of nursing homes has been of central importance during the COVID-19 pandemic. With test procedures and vaccines becoming available at scale, nursing homes might relax prohibitory measures while controlling the spread of infections. By control we mean that each index case infects less than one...
Preprint
Full-text available
Returning universities to full on-campus operations while the COVID-19 pandemic is ongoing has been a controversial discussion in many countries. The risk of large outbreaks in dense course settings is contrasted by the benefits of in-person teaching. Transmission risk depends on a range of parameters, such as vaccination coverage, number of contac...
Article
Full-text available
Livestock farming is currently undergoing a digital revolution and becoming increasingly data-driven. Yet, such data often reside in disconnected silos making them impossible to leverage their full potential to improve animal well-being. Here, we introduce a precision livestock farming approach, bringing together information streams from a variety...
Article
Full-text available
In this study we present systematic framework to analyse the impact of farm profiles as combinations of environmental conditions and management practices on common diseases in dairy cattle. The data used for this secondary data analysis includes observational data from 166 farms with a total of 5828 dairy cows. Each farm is characterised by feature...
Technical Report
Full-text available
The ReMO COST Action is a network of stakeholders from all levels of the research community that has drafted a Researcher Mental Health and Well-being Manifesto that calls for the assessment of how the mental health and well-being of researchers can best be nourished and sustained through actions and initiatives at the policy, institutional, commun...
Technical Report
Full-text available
La Acción ReMO del programa COST es una red de colaboradores de todos los niveles de la comunidad científica que ha redactado un Manifiesto sobre la salud mental y el bienestar de los investigadores que requiere la evaluación sobre cómo se pueden nutrir y fomentar de la mejor forma la salud mental y el bienestar, a través de acciones e iniciativas...
Technical Report
Full-text available
عبارة عن شبكة من أصحاب المصلحة من جميع مستويات المجتمع البحثي التي قامت بصياغة بيان للباحث عن الصحة العقلية والرفاهية والذي يدعو إلى تقييم أفضل طريقة لتغذية واستدامة الصحة العقلية للباحثين ورفاهيتهم من خلال الإجراءات والمبادرات على مستوى السياسات والمؤسسات والمجتمعات والأفراد. يدعو هذا البيان جميع أصحاب المصلحة في النظام البحثي إلى المشاركة في تطوي...
Preprint
Social media generate data on human behaviour at large scales and over long periods of time, posing a complementary approach to traditional methods in the social sciences. Millions of texts from social media can be processed with computational methods to study emotions over time and across regions. However, recent research has shown weak correlatio...
Article
Full-text available
Dry lakes covered with a salt crust organised into beautifully patterned networks of narrow ridges are common in arid regions. Here, we consider the initial instability and the ultimate fate of buoyancy-driven convection that could lead to such patterns. Specifically, we look at convection in a deep porous medium with a constant throughflow boundar...
Preprint
Full-text available
How to safely maintain schools open during a pandemic is still controversial. We aim to identify those measures that effectively control the spread of SARS-CoV-2 in schools. By control we mean that each source case infects less than one other person on average. Here, we analyze Austrian data on 616 clusters involving 2,822 student-cases and 676 tea...
Preprint
Full-text available
Livestock farming is currently undergoing a digital revolution and becoming increasingly data-driven. Yet, such data often reside in disconnected silos making it impossible to leverage their full potential to improve animal well-being. Here, we introduce a precision medicine approach, bringing together information streams from a variety of life dom...
Article
Background The coronavirus (COVID-19) pandemic presents an unprecedented crisis with potential negative mental health impacts. Methods This study used data collected via Youper, a mental health app, from February through July 2020. Youper users (N = 157,213) in the United States self-reported positive and negative emotions and anxiety and depressi...
Preprint
Full-text available
Due to its high lethality amongst the elderly, nursing homes are in the eye of the COVID-19 storm. Emerging new test procedures, such as antigen or RT-LAMP tests, might enable us to protect nursing home residents by means of preventive screening strategies. Here, we develop a novel agent-based epidemiological model for the spread of SARS-CoV-2 in n...
Article
Full-text available
The data set described here contains information about the surface, subsurface, and environmental conditions of salt pans that express polygonal patterns in their surface salt crust (Lasser et al., 2020b; https://doi.org/10.5880/fidgeo.2020.037). Information stems from 5 field sites at Badwater Basin and 21 field sites at Owens Lake – both in centr...
Article
Full-text available
To track online emotional expressions on social media platforms close to real-time during the COVID-19 pandemic, we built a self-updating monitor of emotion dynamics using digital traces from three different data sources in Austria. This allows decision makers and the interested public to assess dynamics of sentiment online during the pandemic. We...
Article
Full-text available
A global crisis such as the COVID-19 pandemic that started in early 2020 poses significant challenges for how research is conducted and communicated. We present four case studies from the perspective of an interdisciplinary research institution that switched to “corona-mode” during the first two months of the crisis, focussing all its capacities on...
Method
Full-text available
We use Python in combination with Jupyter Notebooks and a Jupyter Hub as a technical infrastructure to (a) teach students how to program and (b) work on data science applications. In the following description, we will detail the technical implementation and setup of this teaching environment and how the three components - Python, Jupyter Notebooks...
Preprint
A global crisis such as the Covid-19 pandemic that started in early 2020 poses significant challenges for how research is conducted and communicated. We present four case studies from the perspective of an interdisciplinary research institution that switched to “corona-mode” during the first two months of the crisis, focussing all its capacities on...
Article
Full-text available
In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a...
Article
Full-text available
Executable papers take transparency and openness in research communication one step further. In this comment, an early career researcher reports her experience of creating an executable paper as a journey through Open Science.
Preprint
Full-text available
To track online emotional expressions of the Austrian population close to real-time during the COVID-19 pandemic, we build a self-updating monitor of emotion dynamics using digital traces from three different data sources. This enables decision makers and the interested public to assess issues such as the attitude towards counter-measures taken dur...
Preprint
Full-text available
The goal of this analysis is to estimate the effects of the diverse government intervention measures implemented to mitigate the spread of the Covid-19 epidemic. We use a process model based on a compartmental epidemiological framework Susceptible-Infected-Recovered-Dead (SIRD). Analysis of case data with such a mechanism-based model has advantages...
Preprint
Full-text available
The data set described here contains information about the surface, subsurface and environmental conditions of salt pans that express polygonal patterns in their surface salt crust. Information stems from 5 field sites at Badwater Basin and 21 field sites at Owens Lake-both in central California. All data was recorded during two field campaigns, fr...
Preprint
Full-text available
Data science and its applications are increasingly ubiquitous in the rapidly digitizing world and consequently students across different disciplines face increasing demand to develop skills and awareness \cite{RISDALE2015, national2018data} to answer needs across all sectors to collect, manage, evaluate, apply and extract knowledge from data and cr...
Preprint
Full-text available
In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a...
Preprint
Full-text available
Dry lakes covered with a salt crust organised into beautifully patterned networks of narrow ridges are common in arid regions. Here, we consider the initial instability and the ultimate fate of buoyancy-driven convection that could lead to such patterns. Specifically, we look at convection in a deep porous medium with a prescribed fluid flux bounda...
Article
Full-text available
The Max Planck Society represents a unique place for principal investigators, but its benefits are not necessarily reaped by the students, argue the Max Planck PhDnet Survey Group. Policy changes, however, could alleviate publication and other pressures for students.
Poster
Full-text available
Salt playa - geographical sinks with salty crusts and high water table - often exhibit polygonal salt-ridge patterns with a diameter of roughly 1 m. Several mechanisms have been discussed for their formation, but none of these can explain the scale of the observed patterns. In this work we link the crust pattern to buoyancy-driven flows in the poro...
Method
Full-text available
Alle Bachelorstudierenden der Uni Göttingen (http://www.uni-goettingen.de/) [1] sollen "Daten Lesen Lernen". Seit dem 1.1.2019 verfolgt das gleichnamige Projekt das hehre Ziel, Studierenden aller Fachrichtungen die Grundlagen im Umgang mit Daten zu vermitteln. Die Umsetzung des Projektes wird durch eine Förderung des Stifterverbandes (https://www.s...
Preprint
Full-text available
From fairy circles to patterned ground and columnar joints, natural patterns spontaneously appear in many complex geophysical settings. Here, we consider the origins of polygons in the crusts of salt playa and salt pans. These beautifully regular features, a meter or so in diameter, have a worldwide distribution and are important to the transport o...
Article
Full-text available
Background The analysis of complex networks both in general and in particular as pertaining to real biological systems has been the focus of intense scientific attention in the past and present. In this paper we introduce two tools that provide fast and efficient means for the processing and quantification of biological networks like Drosophila tra...
Article
Full-text available
The leaves of angiosperms contain highly complex venation networks consisting of recursively nested, hierarchically organized loops. We describe a new phenotypic trait of reticulate vascular networks based on the topology of the nested loops. This phenotypic trait encodes information orthogonal to widely used geometric phenotypic traits, and thus c...
Article
The leaves of angiosperms contain highly complex venation networks consisting of recursively nested, hierarchically organized loops. We describe a new phenotypic trait of reticulate vascular networks based on the topology of the nested loops. This phenotypic trait encodes information orthogonal to widely used geometric phenotypic traits, and thus c...

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Projects

Projects (7)
Project
The ReMO COST Action focuses on wellbeing and mental health within academia, a theme of strategic importance for the European Research Area. Previous research shows that low levels of wellbeing and mental health problems have a negative impact on individual, team and organizational performance, triggering significant costs. In addition, institutional context, organizational structure and culture, as well as managerial practices have significant impact on wellbeing and health of employees. Therefore, general insights on the causes of workplace wellbeing and mental health need to be refined with contextual specifics (i.e. in academia) in order to develop tailored, effective and efficient prevention and action programs.
Project
The Open Science concept remains unclear and blurry due to a variety of suggested meanings. Research that investigates respective scientists’ engagement in Open Science varies widely in the topics addressed, methods employed, and disciplines investigated, which makes it difficult to integrate and compare its results. To get a better understanding of the conceptual scope and boundaries of research on Open Science we aim at providing an openly accessible comparative overview and methodological reflection of empirical studies that focus on the attitudes, assessments, and practices of Open Science among individuals, communities, and organizations. With this approach, we intend to clarify the current understanding of Open Science on two levels: First, on the level of study contents, empirical studies capture diverse understandings and aspects of Open Science among different disciplinary, practitioner, geographical region and user groups among others. Numerous empirical studies have asked similar questions, but often to different groups of respondents. Therefore, a complementary overview of existing studies will allow us to summarize key findings and to identify key understandings and practices of Open Science across multiple respondents. On the second level of study methodologies, a critical review simultaneously takes into account that empirical studies are themselves shaping our perspective of Open Science. Therefore, we will further inductively study and compare the applied concepts and chosen methodological designs, which where chosen to capture attitudes, assessments, and practices of Open Science. On this level, we aim to explore and understand potentials and limits of methodologies, e.g. of quantitative and qualitative approaches. In our review, we started with a corpus of 104 studies investigating Open Science in a broad sense and will extend the corpus following a combined approach of snowball sampling and systematic literature search. This corpus is openly accessible via Zotero (https://bit.ly/34GaVHI). We include peer-reviewed studies as well as gray literature in a growing body of data and in a first step code studies regarding their Open Science topic, methodology, discipline, and targeted groups.
Project
Given the time-line of emotion valence (what emotion do I have right now?) and emotion intensity (how strong is that emotion?): can we predict changes in depression state and help implementing interventions?