Participants join this program with a project that they either are already working on or want to develop during this program.
For this round of the OLS program, we are happy to have 69 participants with 29 projects.
Projects
PyOrb 1.0 – Automated Analysis Tool for Orbital Interactions
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Software, Chemistry, Open-Source, Density Functional Calculations, Reaction Mechanism, Activation Strain Model, Bonding Mechanism
Introducing PyOrb 1.0, a user-friendly, open-source software designed to streamline the analysis of orbital interactions within various fragments (e.g., atoms in a chemical bond or reactants in a chemical reaction). By harnessing density functional theory computations, this program automates the exploration of Kohn-Sham molecular orbitals (KS-MOs), offering invaluable insights into the fundamental driving forces behind the chemical bond formation and reactions. Our primary objective is to develop an intuitive tool that effortlessly generates and consolidates essential details, including orbital overlaps, energy gaps, orbital Gross Mulliken populations, and coefficients of fragment orbitals within the broader molecular orbitals. The PyOrb 1.0 program will address three major challenges associated with the analysis of MO bonding mechanisms: 1. It automatically identifies the dominant orbital interaction patterns. 2. It presents three different orbital interaction schemes corresponding to different stages of bond formation. 3. It constructs the orbital diagram including a final plot summarizing the key molecular orbitals. While we have already created an initial prototype, there are several enhancements required to enhance the usability of our tool. PyOrb 1.0 holds immense potential in simplifying the systematic analysis of atomic and molecular bonding mechanisms, allowing users to concentrate on advanced analysis tasks. We plan to make the PyOrb 1.0 source code openly accessible online, accompanied by an introductory tutorial, to facilitate easy retrieval and utilization.
Understanding Natural History Organizational Structures, Data Sharing, and Coordination through Biodiversity Informatics and Biocollections
By: 
Mentored by: 
Keywords: Science Of Science, Hci, Human Computer Interaction, Information Overload, Collaboration, Networks, Complex Systems, Information Theory, Mutli-Agent Systems
An ethnographic study that will using participant observation, open interviews and collection of documents to extract information about networks and information ecosystems of research. Data collection will be in the form of field notes, interview notes and audio recordings and document analysis, respectively. The expected duration of the total study is four years, but this first phase is envisioned as a 4-month project.
Molerhealth
By: 
Mentored by: 
Keywords: Healthcare, Africa, Research, Opensource, Disease Misdiagnosis, Technology
The Molerhealth project is an initiative aimed at transforming healthcare in Nigeria through the development of an open-source electronic health records (EHR) application. My goal is to address the critical issue of disease misdiagnosis by enabling better information sharing and collaboration between healthcare providers, leading to improved patient outcomes and a more efficient healthcare system. Molerhealth will provide individuals with a secure and user-friendly platform to access, update, and share their comprehensive health records, regardless of their location or healthcare provider. Through this comprehensive EHR system, patients will have seamless continuity of care, as their medical history, test results, medications,allergies and treatment plans will be readily available to healthcare professionals. By harnessing the power of technology, Molerhealth will significantly reduce the rate of misdiagnoses in Nigeria. Doctors will have access to a complete and up-to-date patient profile, enabling accurate diagnoses, appropriate treatment decisions, and timely referrals to specialists when necessary. Moreover, Molerhealth will facilitate better communication between healthcare providers by providing a platform for secure messaging and consultation, enabling the exchange of vital patient information. This collaboration will lead to more informed decision-making, increased efficiency, and ultimately, improved healthcare outcomes. Through its open-source nature, Molerhealth will encourage community participation, innovation, and customization, making it adaptable to the unique healthcare needs of different regions in Nigeria. It will serve as a catalyst for positive change, empowering individuals, and strengthening the healthcare ecosystem as a whole. Together, we will revolutionize healthcare in Nigeria with Molerhealth, ensuring accurate diagnoses, improved patient care, and a healthier future for all.
Bioinformatics and Health Data Science Internship
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Mentored by: 
Keywords: Bioinformatics, Data Science, Open Source Projects, Capacity Building, Industries
My project focuses on creating a dynamic platform that serves as a bridge between bioinformatics, data science students and the pharmaceutical, healthcare and biotechnology industries. By embracing an open-source foundation, the platform would facilitate collaboration and encourage the execution of open-source projects within these industries. This initiative aims to foster a symbiotic relationship where students would enroll in internships and gain practical experience while contributing to the advancement of scientific research and development. Through the platform, bioinformatic and data science students can connect with industry professionals, forming interdisciplinary teams to tackle real-world challenges. By leveraging their specialized skills, these students can apply their knowledge to diverse projects, such as genomics analysis, drug discovery, personalized medicine, and data-driven healthcare solutions. Moreover, the open-source nature of the platform allows for transparency, accessibility, and reproducibility of projects. By participating in these collaborative endeavours, students gain hands-on experience, expand their professional network, and acquire industry-specific insights and simultaneously, the pharmaceutical, healthcare, and biotechnology sectors would benefit from fresh perspectives, innovative ideas and cost-effective solutions provided by the enthusiastic student community. The platform acts as a catalyst for knowledge exchange, empowering students and fostering a culture of open-source collaboration within these industries.
An Open Handbook and MOOC on Computational Methods for African Media Researchers
By: 
Mentored by: 
Collaboration: Africa-OLS
Keywords: Educational Resource Production,Media Studies, Social Media Studies, Research Methods, Big Data, Digital Inequality, African Academic Resources, Scraping, Natural Language Processing, Network Analysis, Data Visualisation, Machine Learning
This project will revolve around the production of two resources: an open access handbook and a MOOC on computational methods for African Media researchers. These will share various digital, computational and data research methods to study the media in African contexts (including social media) in an easy and accessable manner. We would like to provide some typical African data examples that users will be able to download to follow along. The resources will be based on the winter school Alette has recently convened that was geared specifically for digital media researchers based in Africa.Here we worked with international media researchers from the UK and the Netherlands who shared some of their approaches. They agreed that we could repurpose these into shared open resources as long as their contribution is acknowledged.
dr
By: 
Mentored by: 
Keywords: Scientific Rigor, Reproducibility, Neuroscience
Inspired by Neuromatch and the many other open educational projects, we will produce high quality notebooks to intuitively teach scientific rigor. These notebooks will combine videos, interactives, text and equations into engaging teaching materials. Results will be jupyter notebooks, jupyter books, and good old fashioned webpages. Community for rigor will build an education team, a tech team, and a community team. All materials will be shared CC-BY. We hope to collaborate with a wider open community in optimizing the materials for a broad range of scientists. If we can lower the incidence of non-rigorous science even just by a few percentage points we would majorly improve biomedical research.
Digitalization for sustainable Agricultural practices and climate change mitigation
By: 
Mentored by: 
Keywords: Technology, Climate Change, Agricultural Methods, Sustainability, Mitigation
In order to mitigate climate change and ensure global food security, agriculture is essential. Traditional farming methods however causes environmental harm and increase greenhouse gas emissions. Agriculture has a tremendous amount of potential to be transformed into a sustainable and climate-resilient industry as a result of digitalization and cutting-edge technologies. This proposal describes a method for promoting sustainable agriculture and reducing climate change by using digitalization.
Wind Power System Stability Analysis for Grid Integration: A Statistical Mechanics Approach to the Swing Equation.
Mentored by:
Keywords: Wind Power, Fluctuation, Stability Analysis, Swing Equation, Statistical Mechanics, Grid Integration
Stabilizing wind power output for grid integration is a challenge due to variable-speed turbines, causing fluctuating power generation. To prevent voltage overloading, the grid power system must undergo rapid changes to maintain stability. The Swing equation is widely used for stability analysis, but its classical model may lead to erroneous conclusions. A modified Swing equation with forced oscillation and nonlinear damping is proposed, using the Lagrangian of the system derived from the maximum entropy principle. Statistical Mechanics preserves the Swing equation for power systems subjected to forced oscillations. The modified Swing equation is numerically integrated for various external load conditions, including constant, step, periodic, and stochastic loads. The steady state and transient stability of the system are determined by the load nature, magnitude, and damping.
Is my research used in clinical trials? - Tool(s) to assess societal impact using open scholarly data
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Open Scholarly Data, Clinical Research, Citations, Societal Impact, Scientometrics
In the past, researchers have relied on commercial databases for scholarly information such as citations. With the acceleration of open science, open scholarly databases have emerged providing access to everyone for free. However, where commercial providers add a layer of abstraction in the form of aggregations and scientometrics, users of open scholarly data are confronted with raw data that can be difficult to work with. As research intelligence, this is where we step in, aiming to turn raw data into useful information. While making custom reports and dashboards is time-consuming and incurs a cost, we are exploring ways to provide a basic set of open-source tools that can be used by everyone, without charge. Our proposal is a tool that allows researchers to check whether their (fundamental) research is being cited by clinical trials. While traditionally only the number of citations has been used to establish impact of a publication, we aim to provide a more inclusive measure of societal impact by investigating the citation network. We will also explore ways to disseminate impact e.g. through visualisations. This implementation will pave the way for a series of similar tools that promote the recognition of research on various levels.
Assessing the Zinc Finger Protein Mutation and Expression Profile in Kenyan Women with Breast Cancer
By: 
Mentored by: 
Collaboration: Africa-OLS
Keywords: Znf Proteins, Breast Cancer, Mutation, Gene Expression
The most recent evidence (2021) shows that breast cancer is the second leading cause of death in Kenyan women, after cervical cancer. Zinc Finger Proteins (ZNFs) have been shown to play a role in the progression of various types of cancers, including breast cancer. However, the impact of various types of mutations on breast cancer progression and prognosis have not been established in the Kenyan population. Lack of comprehensive knowledge on specific mutations within ZNFs 703,750 and 213 in breast cancer among Kenyan women population has hindered the development of diagnostic and therapeutic strategies for this population.
openTECR - an open database on thermodynamics of enzyme-catalyzed reactions
By: 
Mentored by: 
Keywords: Enzymes, Thermodynamics, Open Source, Community
I aim to create a reliable, free, machine-actionable data collection of apparent equilibrium constants of enzyme-catalyzed reactions, with a clear change process to integrate new data and correct errors. There exists a data collection of other people in the field, but it is a free-floating csv file, and there are actually different versions of it used by different software packages. I want to unify those. This also includes cross-referencing / integrating other databases to exploit division of labor. Further, I want the project to provide a blueprint on how to set-up databases with no cost for infrastructure / developer capacity, given a specific set of technological skills. Currently I see three big problems: 1) create a FAIR representation of the data, 2) enable the community curation technologically, 3) motivate the community to invest work in the database. In the OLS Open Seeds program, I want to focus on problems 2) and 3).
The Open Umbrella & Hybrid Learning Field Guide
By: 
Mentored by: 
Collaboration: Africa-OLS
Keywords: Open Education Resources, Open Education Practices, Quality Improvement, Professional Learning
The umbrella offers a teacher or lecturers who used educational technology, 8 entry points for improving their remote, on campus or in a hybrid courses. The field guide fleshes out these entry points with manageable examples and projects.
Bioinformatics codeathon
By: 
Mentored by: 
Collaboration: Africa-OLS
Keywords: Codeathon, Bionformatics, Open Data, Collaboration
This project involves a Bioinformatics codeathon. The purpose is to empower upcoming researchers interested in bioinformatics either as a career or to use bioinformatics tools in their research work. This project aims to provide a platform for bioinformatics enthusiasts to learn, network and appreciate bioinformatics. The codeathon will include two phases, beginning with participants pitching projects using publicly available data. Then followed by application of participants to the successfully selected projects. The project is estimated to run for 16 weeks. The first 4 weeks will be designed to train the participants in basics of bioinformatics, manuscript writing and how to make excellent presentations. During the codeathon, the participants will be expected to divide the roles among themselves and collaboratively work until completion of the project, The participants will present on the progress of their work twice a week. After the 16 weeks, the teams will present their work, the best teams awarded and successful projects published.
Making corporate social responsibility data available and accessible for other researchers
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Fair, Data Sharing, Survey Data, Philanthropy, Corporate Social Responsibility, Business Administration, Economics, Organization Science
Since 1995, the Center for Philanthropic Studies at VU Amsterdam has conducted a biennial survey measuring corporate social responsibility in the Netherlands. The survey includes questions on corporate philanthropy in the form of giving money, goods and services to charitable causes, sponsorships of organizations, corporate volunteering, and corporate social responsibility behavior, among other topics. The thirteen waves of data have been collected for the Giving in the Netherlands (“Geven in Nederland”) series, which reports macro-economic estimates of the size, composition and trends in philanthropy. The data are rich and unique; they contain extensive information about corporate giving, volunteering and social responsibility as well as background information for large samples of the for-profit landscape in the Netherlands (total n ≈ 12,000). The data have not been documented for external use. As a result, the data have unused potential. The goal of the current project is to make the data publicly available in line with the FAIR principles in a repository that can be used for future editions of the survey.
Gender Differences in the Impostor Phenomenon: A Preregistered and Open-Science Meta-Analysis
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Gender, Impostor Feelings, Impostor Phenomenon, Impostor Syndrome, Mental Health, Meta-Analysis
The impostor phenomenon (IP) refers to self-doubts about one’s abilities and difficulty internalizing individual accomplishments. These individuals attribute their success to external (e.g., oversight or luck), instead of internal (e.g., intelligence or competence) factors. Therefore, they are worried that they will be found out as intellectual frauds or “impostors”. This phenomenon was first described by Clance and Imes in 1978 and received great attention over the last decades. Although initial researchers suggested that especially women suffer from the impostor phenomenon, more recent empirical evidence regarding gender differences is mixed. The aim of the current meta-analysis is to examine whether or not there are gender differences in the impostor phenomenon to examine where these potential gender differences come from moderation and mediation analysis. When conducting the meta-analysis, we want to follow the Preferred Reporting Items for Systematic reviews and Meta-Analysis for Protocols (PRISMA-P; Moher et al., 2015) and use the PRISMA-P templates developed by Moreau and Gamble (2022). We will preregister our study by uploading these templates (e.g., hypotheses, article searching strategies, screening criteria, codebook) and share all study materials and data via the Open Science Framework. We will also keep a logbook to track all details of our project.
Creating an online repository for open collaboration in psychology.
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Database, Open Repository, Online Study, Surveys
This project aims to develop an online repository to facilitate open collaboration in the field of psychology. The objective is to enable researchers from various locations to share their anonymized data on a centralized platform. The shared datasets will be made accessible to other researchers for further analysis. To accomplish this, the development of machine-readable codebooks is crucial. These codebooks - part of the present project - will enable the automated reading and merging of individual researchers’ datasets, resulting in the creation of a comprehensive Giga database in psychology research.
JICMar Network: towards better opportunities and greater collaboration among young marine science researchers in Latin America
By: 
Mentored by: 
Keywords: Young Researchers, Marine Sciences, Latin America, Community, Accessibility, Equality
The JICMar network (acronym for Young Investigators in Marine Sciences-Latin America) seeks to generate a space for the exchange of ideas and experiences that will serve as input to face the next steps in our professional careers. The virtue of the JICMar network lies in the collaboration to promote inclusion, gender diversity and equal opportunities for anyone studying or working on marine issues. The main activities of JICMar are related to generating a database of researchers, groups and institutes from different countries; socialising academic work with cutting-edge methodologies; centralising and sharing strategies for finding job opportunities and funding, as well as generating a job bank. The communication strategy of the JICMar includes the creation of a mailing list, social networks and a website to disseminate and carry out the various activities.
UbuntuEdu (Concept title)
By: 
Mentored by: 
Collaboration: Africa-OLS
Keywords: Mother Tongue Education; E-Learning; Education; Short Courses; Multilingualism
I aspire to develop an e-learning platform inspired by Udemy that specifically caters to African individuals, enabling them to upload courses in their native languages. The primary objective of this platform is to promote mother tongue education and offer e-learning opportunities for Africans seeking courses developed by their fellow Africans. Extensive research has consistently demonstrated the advantages of mother tongue education, such as increased literacy rates, enhanced critical thinking abilities, and elevated levels of cognitive processing. While my ultimate vision is to serve the entire African continent, I plan to initiate this endeavor by focusing on South African languages. Accomplishing this goal will entail fostering a sense of community, engaging with educators including teachers, lecturers, and professors, as well as actively involving the general public to encourage content creation and course material publication. While platforms like MijnNederlands have been successfully established for specific languages like Dutch, to the best of my knowledge, no such platform currently exists for African languages. Building this platform will undoubtedly be an immense undertaking, but upon completion of this mentorship program, my aim is to have developed the website and initiated the process of community building.
Building a Searchable Open Data Repository of DNA Collections that are Freely-Shared under OpenMTA, with an Associated Landscape Map Visualisation of the Collection Users
By: 
Mentored by: 
Keywords: Dna Collections, Openmta, Fair, Database, Repository, Github, Visualisation, Mapping, Landscape Analysis, Open Communities, Open Bioeconomy, Open Enzymes, Molecular Diagnostics Toolkits, Synthetic Biology Toolkits, Capacity Building, Biotechnology
The documentation for the Open DNA Collections currently exist in multiple formats, and across three different platforms (the Open Bioeconomy Lab website, Freegenes website, and as collections on Addgene). Despite being a free and open resource, the dispersed nature of the available data makes it difficult for new users to understand which to use, and where to find the most up-to-date information. This project aims to gather all the disparate resources together, reformat the collections into a more standardised data structure, and produce a searchable/FAIR database on the Reclone.org website (the stewarding organisation) to make the collections more informative and accessible for new and old users alike. The outputs of this open data repository project will complement an existing Reclone project that aims to establish Regional Reagent Distribution Hubs in partner institutes (in Argentina, Ghana, and the Philippines) for sharing the physical DNA collections, and to help with capacity building within these institutes and local researchers. A parallel project goal would be to produce a landscape analysis and visualisation map of the current DNA Collections users to help future users in identifying local researchers within the Reclone community who may be able to better support their use of the collections.
Developing an Open Community Repository for SciArt
By: 
Mentored by: 
Keywords: Science, Art, Sciart, Raw Images, Community Building, Open Access, Education, Outreach
In recent years, the traditional dichotomy between art and science has been increasingly challenged by initiatives and programs (e.g., online resources, mixer programs, “SciArt” projects) that question the rigid definition of either field. These endeavours strive to establish a decentralised collaborative environment where artists and scientists can come together, encouraging them to reconsider and redefine their identities and practices. As part of the open science effort to make scientific data widely available, this project aims to create an Open Community Repository for deposition of raw scientific images. Scientific images are often not accessible to the general audience, educators, and visual artists whose work would benefit from images that portray real scientific spaces, methods, data, and discoveries. We envision that an open repository dedicated to raw scientific images could strengthen collaborations between artists and scientists and kickstart new SciArt partnerships.
Assessing word stability in Corpora and its influence on learner dictionaries
By: 
Mentored by: 
Collaboration: Africa-OLS
Keywords: Corpora, Dictionaries, Sesotho, Learners, Word Addition, Word Removal
The task of assessing word stability in corpora through addition and removal of words is an important process which can influence which words should be in included or omitted in leaner dictionaries. The aim of the project is to investigate the stability of words in corpora when words are either removed or added, to gain insights into how word frequency distributions found in corpora have an influence on the outcome of learner’s dictionaries. The Oxford and McMillan dictionaries have top 3 000 words they deem important, and this project seeks to follow that example and assess the influence on word selection for learner dictionaries.
A Fiji plugin for SOFI analysis
By: 
Mentored by: 
Keywords: Sofi, Fiji, Super-Resolution, Microscopy
Fluorescence microscopy has significantly contributed to our understanding of cellular processes in recent decades. The development of advanced super-resolution (SR) microscopy techniques has allowed for the examination of cellular structures at the nanoscale. SOFI (Super resolution optical fluctuation imaging method) is an SR method which uses the intensity fluctuations from single emitter and can provide higher resolution even using a couple of hundreds frame from wide-field image. However its analysis are mostly limited with scripted code and is not accessible enough of biologist. Creating an fiji plugin is important to help biologists and spread the method to different research fields.
The invisible society: Misgendering in Facial Recognition Systems:
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Face Recognition, Gender, Non-Binary, Identity, Ethics Of Ai
Gender is a deeply ingrained constructs in human culture and societies. It permeates our everyday activities, whether real or virtual, from social interactions to our digital lives. By nature, the most significant aspects of culture are reflected in scientific progress, determining its development and evolution. The way technological change is shaped and structured is thus inherently grounded in societal norms and relations, which are themselves equally affected by technological transformations. In this sense, the relationship among technology and gender can be considered as mutually constitutive. This relationship is leading to at least two main consequences: i) individuals increasingly encounter representations of gender embedded in technology; ii) machines are being trained to recognize and react to relevant traits of human identity, including gender. These consequences are made even more evident by the increasingly pervasive use of Automatic Face Analysis Systems (AFAS), especially when those systems are based on face recognition. However, these systems are consistently built on a gender binary construct and almost never take into account non-binary individuals, causing exclusion and reinforce existing prejudices about these communities. The project will break this barrier by analysing how algorithms (un)recognize non-binary faces, to foster the development of inclusive, diverse and trustworthy AI.
Identification and Prediction of Bacterial Pathogens Colonizing Yellowing Disease in Coastal Kenyan Coconuts: A Machine Learning Approach
By: 
Mentored by: 
Collaboration: OLS-Africa
Keywords: Coconut, Machine Learning, Next-Generation Sequencing, Bacterial Diversity
This project aims to investigate the diversity of bacterial pathogens associated with yellowing diseased coconuts along the Kenyan coast. The study will employ a combination of culture-independent methods and NGS techniques for bacterial identification. DNA extraction will be performed using CTAB method, followed by sequencing of 16S rRNA gene using Illumina MiSeq platform. The obtained sequence data will be analyzed using the Qiime2 pipeline. To accurately detect and classify genetic variants, machine learning models including XgBoost, LightGBM, and Random Forest will be trained using Python. The proposed research will shed light on the pathogenic bacteria associated with coconut diseases and facilitate the development of effective control measures.
Open-source handbooks infrastructure at VU Amsterdam
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Open Source, Handbook, Github, Rdm, Open Science, Template, Governance, Collaboration
Inspired by the Privacy Handbook (https://utrechtuniversity.github.io/dataprivacyhandbook/about.html ) developed by Utrecht University, colleagues from VU Amsterdam want to create guides on various Research Data Management topics for their own organization. We take the Privacy Handbook and the Turing Way as examples for our work. The goal of the project is to work out the infrastructure which is necessary for a collaboration. We need a template that the team will be able to maintain. We also develop a governance model and contribution guidelines that will make it possible to keep the handbooks as up to date collaborative resources developed and maintained beyond departmental boundaries.
An online repository of tools and methods for automated archaeological survey
By: 
Mentored by: 
Keywords: Archaeology, Computational Archaeology, Computer Vision, Machine Learning, Heritage Management, Geospatial, Landscape
The aim of this project is to build an online repository which will improve accessibility to automated methods for detecting archaeological features in remote sensing data. The online repository will primarily act as a model garden for archaeological computer vision models, but will also contain example notebooks sharing basic workflows that can be reproduced. I have agreements in place with vision model developers that will allow me to build on their existing technical work to provide the initial set of models. This project is aimed at stakeholders who are (1) interested in gaining an overview of technical research, (2) interested in understanding what is involved in the technical implementation of automated methods, or (3) actively looking for models to apply in their own work. In its first iteration, the model garden will be focused on vision models for archaeological survey but could be expanded in the future to include models for application to different areas of archaeological practice. If possible, and if necessary for the first prototype of the repository, I would also like to collaborate with the Turing’s Scivision project to build on their existing catalogue infrastructure to provide access to the models.
Open Science in Neuroscience: A Practical Guide for Researchers
By: 
Mentored by: 
Collaboration: VU Amsterdam
Keywords: Neuroscience, Biomedical, Open Science, Resource, Innovation, Collaboration
Our project aims to develop an innovative and comprehensive Open Science guidebook specifically designed for the neuroscience field, addressing the knowledge gaps and lack of guidance that hinder the implementation of open science(OS) practices among researchers. The guidebook will serve as a go-to resource for researchers, providing them with the necessary knowledge and practical tools to incorporate OS principles into their work. It will offer clear and step-by-step guidance on various aspects of OS, such as data management, pre-registration, sharing protocols, analyzing code, and publishing open access. What sets our guidebook apart is its tailored approach to the neuroscience field. Recognizing the diverse subfields and unique challenges within neuroscience research, we will curate and consolidate existing resources while also developing new content that specifically addresses these considerations. Moreover, this guidebook will offer easily accessible guidance to researchers at all levels: students, early-career scientists, and established professionals alike. It will serve as a valuable resource, supporting them in adopting OS practices and fostering collaboration, reproducibility, and transparency within the neuroscience community Overall, our project aims to bridge the gap between knowledge and implementation, empowering neuroscience researchers to embrace OS and contribute to the advancement of their field.
Estructura e infraestructura para la formación por cohortes virtuales
By: 
Mentored by: 
Collaboration: MetaDocencia
Keywords: Ciencia Abierta, América Latina, Comunidad, Enseñanza, Cohortes Virtuales
Como parte de nuestro trabajo en la construcción de capacidades científicas y técnicas en forma responsable y con una mirada local, en MetaDocencia ofrecemos cursos virtuales y gratuitos para la comunidad hispanohablante. A partir de la adjudicación de tres subsidios TOPST de NASA y trabajando en conjunto con OLS y 2i2c, dos organizaciones con intereses afines, migraremos hacia la organización de cohortes virtuales de formación enfocadas en ciencia abierta. Este proyecto busca explorar las alternativas disponibles para organizar cohortes virtuales efectivas y avanzar en el diseño y la implementación de una hoja de ruta que facilite la migración de MetaDocencia hacia esta alternativa de entrenamiento, sirviendo también como referencia para otras organizaciones con intereses similares.
Gobernanza 2.0 de MetaDocencia
By: 
Mentored by: 
Collaboration: MetaDocencia
Keywords: Gobernanza, Formalización, Transparencia, Participación, Construcción De Capacidades, Mirada Local
En 2022 comenzamos un proceso de aprendizaje colectivo y colaborativo para diseñar la gobernanza de MetaDocencia. El objetivo fue elaborar un modelo transparente para la toma de decisiones estratégicas, pensado desde y para nuestro contexto cultural y regional. Para ello, definimos una modalidad de trabajo interna y un método de votación para la toma de decisiones por acuerdo mayoritario y de forma democrática. Discutimos, consensuamos y actualizamos nuestra misión y visión, para que reflejen con mayor fidelidad nuestra propuesta actual. Como resultado del proceso, quedaron establecidos órganos de funcionamiento y reglamentos internos, junto a roles ejecutivos, responsabilidades y funciones de quienes lideran cada equipo. La puesta en práctica de nuestra nueva gobernanza comenzó en diciembre de 2022, con la conformación de un nuevo Consejo Asesor (CA) con estructura y roles ampliados, y la convocatoria a una primera reunión de acuerdo a los principios de funcionamiento actualizados. En este proyecto nos proponemos completar la gobernanza de MetaDocencia formalizando y documentando las siguientes secciones: Pautas de Convivencia (PdC). Política de Conflicto de Interés (COI). Política Editorial Abierta (PEA). Plan para la revisión anual de nuestra gobernanza.
Participants
Alette Schoon teaches documentary filmmaking at the School of Journalism and Media Studies at Rhodes University in Makhanda, South Africa. Before entering academia she worked in educational television. Alette has a PhD in digital media studies and is the organiser of the African DigiMethods conference that aims to share digital and computational research methods and tools with African Media Studies researchers. Alette has published various book chapters and journal articles on digital media in South Africa. Alette enjoys mountain biking and is known among her cycling group as the “downhill queen”.
Hi I’m Amber, I am passionate about both human as animal health. Science should be open and accessible for everyone, contributing to a planet full of knowledge, innovations and solutions!
I am a neuroscience researcher. I investigate how the human brain creates meaning through language and music, and through audition and vision. For my research, I use neuroimaging techniques such as Magnetoencephalography or functional Magnetic Resonance Imaging. I am passionate about science outreach and SciArt, and I am interested in facilitating connections between scientists and artists. I am the current director of the Imagine Science Symbiosis Initiative and a Resident Scholar at the SAi Resident Collective. I love growing plants, (citi-)biking around NYC, and discovering new cafes.
Am Daniel, a graduate of Biochemistry with major interest in using bioinformatics softwares to gain insight into intricacy of biological data, by leveraging on open source ecosystem
Enthusiastic about science discovery.
My name is Prof Dozie Onunkwo. I am an Animal Scientist. I am married with four children
I’m a Brazilian living abroad for several years; I’m pursuing my Ph.D. in (Open Computational) Neuroscience in France while working part-time in the Netherlands; I’m a huge Open Science enthusiast and have been advocating for this framework in Europe for the past 5 years.
I am a passionate, determined and curios hands-on statistician and research scientist. I love to analyze code and translating complex dataset into key strategic insights identifying new analytic trends and opportunities. I enjoy generating new ideas and developing feasible solutions to major problems. Passion in promoting a fairness-aware-technologies development.
Elisa is a Data Steward at the Vrije Universiteit Amsterdam. In this role, she supports researchers with many aspects of Research Data Management and Open Research. Elisa has a background in and a passion for history, but also loves the diversity of topics she sees in her daily life supporting researchers from all areas of research.
I’m an enthusiastic coder who finds joy in crafting elegant solutions to complex challenges. Beyond lines of code, I’m passionate about forging meaningful connections, fostering new friendships, and embarking on collaborative journeys to bring innovative ideas to life.
Medical Information Specialist/Literature Researcher in (bio)medical sciences, dentistry, nursing, health sciences, psychology and movement sciences.
I am a journalism and media studies scholar with particular focus on climate change communication, digital transformation of journalism practices and business models and computational research methods.
Assistant professor at VU Amsterdam. Studying self-regulation in the workplace. An enthusiast of meta-analysis, meta-science and supporter of big-team scientific projects.
Worked originally in health care, then briefly as a junior researcher. Discovered data management and have been part of the movement towards better RDM since then.
Julián is an institutional communicator and audiovisual producer.
I am Community Manager RDM and Open Science at VU Amsterdam. My background is in theoretical linguistics. My goal is to help colleagues connect and learn from each other and with each other
PhD student who studies how information overload impact institutions grounded in big data focused on natural history and complex system science focused on fireflies and information theory.
Konrad is interested in the question of how the brain solves the credit assignment problem and similarly how we should assign credit in the real world (through causality). In extension of this main thrust he is interested in applications of causality in biomedical research.
Lucy Killoran is a PhD researcher at the University of Glasgow and Historic Environment Scotland. Her research examines the potential impacts of integrating machine learning methods into archaeological survey practices.
Laura (aka Laurel) has experience working as an institutional communicator. Since 2008, she has been in charge of the analysis and planning of comprehensive institutional communication strategies combining digital communication, information systems, and organizations’ voices. She is also a professor at the National University of Córdoba, Argentina.
I’m an Argentinian physical oceanographer, driven by understanding how the ocean moves and why. I have a strong interest in how ocean climate affects society.I love learning about diverse cultures through their languages, literature and music.
Marlou Ramaekers is a postdoctoral researcher at the Centre for Philanthropic Studies at the VU Amsterdam. One of her core tasks is the data management of the Giving in the Netherlands Project, which combines various data sources (surveys, annual reports, interviews) to biennally report on the philanthropic sector in the Netherlands. She has written her PhD thesis on the impact of the social environment on informal helping behavior and will defend this thesis in January 2024.
I am currently the infrastructure and impact measurement coordinator at MetaDocencia. I collaborate with The Turing Way, the OpenSciency project (formerly the NASA TOPS OpenCore team) and am a 2023 SSI and OLS fellow. I am also co-mentoring two Outreachy interns with the Open Science Community Saudi Arabia.
I am a physical oceanographer with a keen interest in the changing dynamics and hydrography of the South Atlantic Ocean. Currently, I am pursuing my PhD in Oceanography and Atmospheric Science at the University of Buenos Aires, where my research focuses on studying the impact of meridional wind variations on circulation and water masses properties along the southeastern continental shelf of South America.
I am a Bioinformatics Analyst at MKU. I am currently doing bioinformatics analysis of Zinc Finger proteins in Kenyan women with breast cancer. I love football, Manchester United fan.
I am a PhD candidate in Grussmayer Lab at TU Delft. I am working on multimodal super-resolution microscopy techniques and the image analysis.
Mmasibidi Setaka is a Digital Humanities Researcher focusing on the Sesotho language at the South African Centre for digital Langauge Resources (SADiLaR), which is hosted at the North-West University. She holds a Masters degree in African Languages from the University of Pretoria, with a focus on lexicography. Her interstests lie in lexicography for the Sesotho language (one of the 12 official languages in South Africa). She is involved in various Digital Humanities activities in South Africa including being part of the excecutive committee of the Digital Humanities Association of Southern Africa.
I’m Onabajo Monsurat, a dynamic and versatile professional skilled in data science, machine learning engineering, and Python development. I am passionate about utilizing data to conquer challenges in Healthcare, Research, and Open-source fields. I am known for my adaptability, diligence, and dedication. I am recognized for delivering impactful solutions that bring positive results.
A Phd Student with the university of Buea and a Fulbright Teaching Excellence and Achievement Alumni
Currently I am a PhD candidate at the department of anatomy and neurosciences. I am researching MRI and pathology outcome measurements of Alzheimer’s disease in human post-mortem tissue, and I enjoy my work immensely. I am also passionate about open science and strongly believe the principles of open science are fundamental for research and the scientific community.
Nicolás se unió a MetaDocencia desde sus inicios en marzo de 2020 y actualmente comparte la coordinación general y es chair del comité asesor. Además es Investigador Adjunto del CONICET y miembro del Grupo de Bioinformática Estructural de la Universidad Nacional de Quilmes en Argentina. Vive con su esposa y su hijo en Buenos Aires.
I am a lecturer and a PhD research student in Agricultural Extension. I am married and mother of three. My areas of interest are Agriculture Extension, Rural Development and Climate change.
Prof. Olufemi Adesope has 28 years experience in teaching, research, community engagement and administration. He has competencies in quantitative and qualitative research.
JOSEPH CHIMERE ONWUMERE is currently a Professor of Agricultural Economics (with specialization Agribusiness Investment and Management) and a researcher. Onwumere holds a Ph.D. degree in Agribusiness Investment and Management, M.Sc. in Agribusiness Management and B. Agriculture with specialization in Agricultural Economics. Onwumere is an academic staff in a University of Agriculture based in Nigeria and has taught graduates and post graduate students and still teaches.
I am passionate about genomics, open science and bioinformatics capacity building. Apart from science, I spend most of my free time playing board games.
I’m a data engineer for research intelligence with a background in computational linguistics and a PhD in cognitive hearing science. I also teach the Software Carpentries.
Political scientist (University of Buenos Aires) with a MS in Educational Policy (UTDT). Project and Course Development Manager at MetaDocencia. Postgraduate teaching assistant and researcher.
I studied chemistry and biotechnology, and worked in research data mangement and FAIR data. I am a father of two, and as a hobby project I co-create a database on apparent equilibrium constants of enzyme-catalyzed reactions, called openTECR. Happy to meet you!
Communication; Human Resources Management; Education
I’m a former philosopher and data scientist, now a co-PI at DTU Biosustain. I like statistical programming, odes and biochemical thermodynamics
Tori was born and raised in a small village near Amsterdam called Halfweg. She finished both her B.Sc. and M.Sc. Chemistry at the Vrije Universiteit Amsterdam and the University of Amsterdam. In 2022, she obtained her M.Sc. in Molecular Sciences with a thesis focusing on how Lewis acids catalyze Friedel-Crafts reactions, supervised by dr. Pascal Vermeeren. Currently, she is further developing herself in the world of Computational Chemistry as Computational Chemistry Lab and System Manager. Toward her goal of mastering the many aspects of this world, she tries to create a clear line with clear communication and the renewal of her knowledge. In this way, she tries to inspire and learn things n
I am a PhD from the University of Buenos Aires interested in everything related to marine sciences and data visualization and open science.
I’m an independent ed-techie & critical learning designer. Enjoy exploring OER, OEP, mobile learning, Johannesburg & learning networks.
I love working on building programs that directly help my colleagues in chemistry. I am very excited to work with OLS to bring our tools to a wider userbase.
Project Manager at the Open Bioeconomy Lab, Community Manager/Coordinator for Reclone.org (the Reagent Collaboration Network), Co-Founder of the London SynBio Network, iGEM Human Practices Committee Member, CSCCE Community Member, budding learner of open science/research practices