Session
Schedule FOSDEM 2022
Open Research Tools and Technologies

BeeHive: a flexible open hardware platform for behavioural experiments

<p>Digital and technical literacies are an ubiquitous requirement in modern research teams. Despite being fundamental, they are rarely part of the curriculum in universities, thus undergrad and early career researchers often struggle to code data analysis pipelines and to automate data collection from experimental setups. Neurosciences, in particular, relies a lot on these skills, with behavioural experiments planning, design of the testing boxes, data visualisation and analysis. To Successfully complete these tasks, researchers need to acquire a significant level of skill in programming and hardware design. To address these problems, we are developing a flexible open hardware platform to lower the barrier in creating experimental setups: BeeHive. It consists of a main board, which nests an ESP32 microcontroller, and several dedicated “daughter boards”, each designed to perform one function (e.g. one board senses temperature, another controls motors, etc). These boards are connected to one another using a standard system already used by other Open Hardware systems, so that there is no need to reinvent the wheel. We can then focus on developing things that are not available yet. The system runs MicroPython, which is a Python derivative for microcontrollers. This architecture allows users to be in control of everything that the platform is doing while also providing plenty of room for completely new applications. Modular structure helps users to get familiar with electronic components already at entry-level expertise while Python is employed for its strong points such as simplicity and widespread usage. In this presentation we set out to explore the core concept of Beehive, describe existing and possible applications.</p>

Additional information

Type devroom

More sessions

2/5/22
Open Research Tools and Technologies
D.research
<p>The Open Research Tools and Technologies devroom managers welcome words announcing the schedule.</p>
2/5/22
Open Research Tools and Technologies
Ian Johnson
D.research
<p>This presentation is about the development and trajectory of Heurist (HeuristNetwork.org), a shared, integrated, extensible data infrastructure (model, build, manage, analyse, visualise, share, publish via integrated CMS) for Humanities research capable of handling the needs of many heterogeneous projects on a single standalone service*, with optional integration across multiple servers by a coordinating index (itself based on Heurist).</p> <p>Humanities data are interesting (both technically ...
2/5/22
Open Research Tools and Technologies
D.research
<p>Developed from 1995 onward, Prospero is a framework for longitudinal analysis of text corpora. Based on dictionaries and semi-automatic classification, it mainly allows its user to combine approaches of statistical computation, co-occurrence network and search for nested patterns. Inspired by pragmatic sociology, it focuses on the multiple forms of expression and argumentation used by actors, on language regimes and on the identification of transformations occurring in the research case. ...
2/5/22
Open Research Tools and Technologies
John Boy
D.research
<p>I am a social scientist who mostly teaches and conducts qualitative research, but I am also a programmer. Over the years, I have contributed to a variety of free and open source software projects, and since 2019, I have developed and maintained <code>textnets</code>, a Python package for text analysis that represents collections of texts as networks of documents and words, providing novel possibilities for the visualization and analysis of texts. In my field, such software development efforts ...
2/5/22
Open Research Tools and Technologies
D.research
<p>Discussion panel of three testimonies from academics developing software.</p>
2/5/22
Open Research Tools and Technologies
Robin De Mourat
D.research
<p>The writing of web publications mixing data visualization and textual prose opens novel opportunities for connecting evidence, arguments and narrative in social sciences communities. Such a practice poses a variety of challenges in terms of website design and development ; but also and maybe more importantly, it asks for experimenting specific workflows for coordinating a variety of expertises ranging from social sciences disciplines (history, sociology, etc.) to data science, information ...
2/5/22
Open Research Tools and Technologies
Evgeny Karev
D.research
<p>This talk will show a new Python tool called Livemark, which is designed for data journalism software education, and documentation writing. Using Livemark, you can collect and present data with interactive tables, charts, and other elements without leaving a text editor. You can also write documentation with live script execution similar to a lightweight version of a Jupiter Notebook. This talk will demo Livemark and will be well-suited for a technical and non-technical audience that is ...