Mastodawn

Aditya L. Ramadona Jan 20, 2023

Modeling #social_interaction and #metapopulation_mobility of the #COVID19 pandemic in main cities of highly populated Java Island, #Indonesia: An #ABM approach

https://www.frontiersin.org/articles/10.3389/fevo.2022.958651/full

Modeling social interaction and metapopulation mobility of the COVID-19 pandemic in main cities of highly populated Java Island, Indonesia: An agent-based modeling approach

IntroductionCoronavirus transmission is strongly influenced by human mobilities and interactions within and between different geographical regions. Human mobility within and between cities is motivated by several factors, including employment, cultural-driven, holidays, and daily routines.MethodWe developed a sustained metapopulation (SAMPAN) model, an agent-based model (ABM) for simulating the effect of individual mobility and interaction behavior on the spreading of COVID-19 viruses across main cities on Java Island, Indonesia. The model considers social classes and social mixing affecting the mobility and interaction behavior within a sub-population of a city in the early pandemic. Travelers’ behavior represents the mobility among cities from central cities to other cities and commuting behavior from the surrounding area of each city.ResultsLocal sensitivity analysis using one factor at a time was performed to test the SAMPAN model, and we have identified critical parameters for the model. While validation was carried out for the Jakarta area, we are confident in implementing the model for a larger area with the concept of metapopulation dynamics. We included the area of Bogor, Depok, Bekasi, Bandung, Semarang, Surakarta, Yogyakarta, Surabaya, and Malang cities which have important roles in the COVID-19 pandemic spreading on this island.DiscussionOur SAMPAN model can simulate various waves during the first year of the pandemic caused by various phenomena of large social...

Frontiers

Aditya L. Ramadona Dec 22, 2022

Simon Gorin Dec 21, 2022

The @snsf_ch's Data Team is looking for a Data Scientist. If you're interested in supporting evidence-based science policy decisions, here is the link to apply: https://recruitingapp-2829.umantis.com/Vacancies/728/Description/2?lang=eng

#RStats #research #Jobs #data #datascientist

Data Scientist 80-100%

Aditya L. Ramadona Dec 22, 2022

Daniel Oberski Dec 22, 2022

Calling all ECRs who would like to learn more social data science by doing!

The ODISSEI Social Data Science (SoDa) team offers SoDa traineeships for early career social scientists. Successful SoDa trainees will spend between 3-8 months full-time working on a social science research project they propose. During this time, they are members of the SoDa team at the Methodology & Statistics department of Utrecht University and mentored by one of the senior team members.

https://odissei-data.nl/wp-content/uploads/2022/10/soda_traineeship_call-2022.docx-Google-Docs.pdf

Aditya L. Ramadona Dec 4, 2022

Frank Harrell Dec 4, 2022

Significant new material added to R Workflow e-book #rstats @VUMCbiostat https://hbiostat.org/rflow

R Workflow

Aditya L. Ramadona Dec 1, 2022

Daniel Lakens Nov 30, 2022

New paper shows (as many papers before) that code that is shared will often not run. This is to be expected - few of us had training in this. But if you share code, go through checklists to prevent the most common mistakes. From the paper: https://www.nature.com/articles/s41597-022-01143-6 For some extra suggestions, see my textbook chapter on computational reproducibility: https://lakens.github.io/statistical_inferences/computationalreproducibility.html#some-points-for-improvement-in-computational-reproducibility

A large-scale study on research code quality and execution - Scientific Data

This article presents a study on the quality and execution of research code from publicly-available replication datasets at the Harvard Dataverse repository. Research code is typically created by a group of scientists and published together with academic papers to facilitate research transparency and reproducibility. For this study, we define ten questions to address aspects impacting research reproducibility and reuse. First, we retrieve and analyze more than 2000 replication datasets with over 9000 unique R files published from 2010 to 2020. Second, we execute the code in a clean runtime environment to assess its ease of reuse. Common coding errors were identified, and some of them were solved with automatic code cleaning to aid code execution. We find that 74% of R files failed to complete without error in the initial execution, while 56% failed when code cleaning was applied, showing that many errors can be prevented with good coding practices. We also analyze the replication datasets from journals’ collections and discuss the impact of the journal policy strictness on the code re-execution rate. Finally, based on our results, we propose a set of recommendations for code dissemination aimed at researchers, journals, and repositories.

Nature

Aditya L. Ramadona Nov 22, 2022

Pachá Nov 21, 2022

Hi #rstats #econtwitter #econtoot #polscitwitter #polscitoot! I created mastodonsocial.ca with the aim of promoting serious and light-hearted academic discussion. Can you help me to promote it?

Aditya L. Ramadona Nov 22, 2022

Niket Agrawal Nov 19, 2022

Nice to meet you on mastodon !!!

#introduction

Hello, science social, I’m Niket. I’m into #mentalhealth, interoception and actively looking PhD in Cognitive Science/ Psychology domain.

Currently working at IIT Kanpur on language and cognition,

Love to connect!

For anyone looking for how to migrate from twitter, Danielle Navarro has written an excellent blog: https://blog.djnavarro.net/posts/2022-11-03_what-i-know-about-mastodon/

Everything I know about Mastodon – Notes from a data witch

A hastily written guide for data science folks trying to navigate the fediverse.

Notes from a data witch

Aditya L. Ramadona Nov 21, 2022

Tiago Peixoto Nov 21, 2022

RT @[email protected]

Hello World!

After 3 years, NetSci is finally back in person!

Vienna, July 10-14 2023.

https://netsci2023.wixsite.com/netsci2023

The conference will be held in the historic main building of the University of Vienna.

#NetSci2023

@[email protected] @[email protected] @[email protected] @[email protected]

🐦🔗: https://twitter.com/netsci2023/status/1594601516651974661

Home | Netsci2023

NetSci 2023 is the flagship conference of the Network Science Society. The conference, organized by Central European University and the Complexity Science Hub, will be held at the University of Vienna, July 10-14 2023.

Netsci2023

Aditya L. Ramadona Nov 19, 2022

InPhyT

Nov 19, 2022

📢 New weekly release of the Italian #COVID19 integrated surveillance #data containing daily incidences of confirmed, symptomatic, hospitalised and deceased cases by date of key event disaggregated by region, sex and age! 📈

  • Authors: @PietroMonticone, @ClaudioMoroni   

• #GitHub Repository: https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data

#OpenData #EpiMastodon #JuliaLang #Epidemiology #OpenScience #Surveillance

@epiverse @julialang

GitHub - InPhyT/COVID19-Italy-Integrated-Surveillance-Data: COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages. - GitHub - InPhyT/COVID19-Italy-In...

GitHub