From 2f843779e254ed15c9fc341f8fbee03e026b9e80 Mon Sep 17 00:00:00 2001 From: Thomas Wood Date: Fri, 29 Nov 2024 23:27:20 +0000 Subject: [PATCH] backlinks --- content/en/blog/contributing.md | 2 +- content/en/blog/easy-issues.md | 2 +- content/en/blog/hackathon.md | 4 ++-- content/en/blog/marketing.md | 2 +- content/en/community.md | 2 +- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/content/en/blog/contributing.md b/content/en/blog/contributing.md index 51960ff..1901e84 100644 --- a/content/en/blog/contributing.md +++ b/content/en/blog/contributing.md @@ -63,7 +63,7 @@ There are lots of ways you can contribute to Harmony! You can work on code, impr In particular, the [PDF extraction](/data-harmonisation/extract-process-data-from-questionnaires/) (converting PDFs to structured questionnaire items) is very hard and we have a separate Github repo with examples here: https://github.com/harmonydata/pdf-questionnaire-extraction -We are planning on running a [hackathon](/open-source-for-social-science/hackathon/) focused on this aspect of the tool. +We are planning on running a [hackathon](https://fastdatascience.com/ai-in-research/ai-hackathon-machine-learning-hackathon/) focused on this aspect of the tool. Also, other initiatives that could be really useful include: diff --git a/content/en/blog/easy-issues.md b/content/en/blog/easy-issues.md index 9c6c200..4efb458 100644 --- a/content/en/blog/easy-issues.md +++ b/content/en/blog/easy-issues.md @@ -33,7 +33,7 @@ We would like to expose the "between instrument matches" and the "negation" swit First of all have a look at our [Large Language Model training and fine tuning challenge](/doxa/)! This is an online competition to train a Large Language Model for mental health data and improve Harmony. You don't need any experience training a Large Language Model before. We provide data. First prize for most accurate LLM is £500 in vouchers! -Secondly, keep an eye out for our next [hackathon](/open-source-for-social-science/hackathon/). We have already run one in 2024 but we are planning more for the future. +Secondly, keep an eye out for our next [hackathon](/open-source-for-social-science/hackathon/). We have already run one in 2024 but we are planning more for the future. [Find out how to find AI hackathons here](https://fastdatascience.com/ai-in-research/ai-hackathon-machine-learning-hackathon/). Please also take a look at the issue trackers on our repositories. There are issues tagged as `good first issue` which you can pick up * [Python](https://github.com/harmonydata/harmony) - the main core library and the Python package which is on [Pypi](https://pypi.org/project/harmonydata/) diff --git a/content/en/blog/hackathon.md b/content/en/blog/hackathon.md index 3adebf6..8fb395d 100644 --- a/content/en/blog/hackathon.md +++ b/content/en/blog/hackathon.md @@ -13,7 +13,7 @@ url: "/open-source-for-social-science/hackathon/" Come and join us for a day of coding, collaboration, and creativity at the Harmony Hackathon! Whether you're a seasoned programmer or just starting out, this event is perfect for anyone interested in tech and innovation. [You can sign up on Eventbrite](https://www.eventbrite.com/e/harmony-hackathon-tickets-887795278577)! -The Hackathon event will be held at Chandler House (UCL), providing a vibrant and inspiring atmosphere for all participants. Get ready to work on exciting projects, learn new skills, and connect with like-minded individuals. Don't miss out on this opportunity to showcase your talents and help us shape the future of research. +The [AI Hackathon](https://fastdatascience.com/ai-in-research/ai-hackathon-machine-learning-hackathon/) event will be held at Chandler House (UCL), providing a vibrant and inspiring atmosphere for all participants. Get ready to work on exciting projects, learn new skills, and connect with like-minded individuals. Don't miss out on this opportunity to showcase your talents and help us shape the future of research. **This is an in-person hackathon happening in London on 3 June 2024.** @@ -93,4 +93,4 @@ What you have achieved; key outputs; next steps *Video tutorial on how to install Harmony Python library* -Harmony is an [open source tool for social science research](/open-source-for-social-science/). \ No newline at end of file +Harmony is an [open source tool for social science research](/open-source-for-social-science/). diff --git a/content/en/blog/marketing.md b/content/en/blog/marketing.md index a1a3baf..e08b734 100644 --- a/content/en/blog/marketing.md +++ b/content/en/blog/marketing.md @@ -36,7 +36,7 @@ In order to raise awareness of [the tool](/psychology-ai-tool/), we have taken t In future, we plan to: * Present at conferences and [workshops](https://harmonydata.ac.uk/harmony-tidal-workshop). This is a great way to connect with potential contributors and collaborators. -* Attend hackathons and other events. This is a great way to connect with potential contributors and collaborators. +* Attend [AI hackathons](https://fastdatascience.com/ai-in-research/ai-hackathon-machine-learning-hackathon/) and other events. This is a great way to connect with potential contributors and collaborators. We hope to attract contributors, build support, and enable Harmony to prosper and develop further in the long term. diff --git a/content/en/community.md b/content/en/community.md index 0f10596..0818035 100644 --- a/content/en/community.md +++ b/content/en/community.md @@ -58,6 +58,6 @@ There are a number of ways you can help to make this tool better for future user * [API](https://github.com/harmonydata/harmonyapi) - the Python API runs with Pydantic and Fast API and is running on an on-prem server enabling the web app to work * [Web front end](https://github.com/harmonydata/app) - we welcome feedback and contributions on front end and UX issues * You can always [message in Discord](https://discord.gg/harmonydata) and let us know that you're interested in joining the project. -* Please contribute to our [hackathons](/open-source-for-social-science/hackathon/) and [coding challenges](/doxa/) to help improve the tool +* Please contribute to our [hackathons](https://fastdatascience.com/ai-in-research/ai-hackathon-machine-learning-hackathon/) and [coding challenges](/doxa/) to help improve the tool * We appreciate coming to give talks at events such as [Women In Data™️](/open-source-for-social-science/women-in-data/), [AI|DL](/psychology-ai-tool/aidl-meetup/), [MethodsCon Futures](/ai-in-mental-health/harmony-at-methodscon-futures/), [Pydata](/open-source-for-social-science/pydata-meetup/), [Lifecourse](/ai-in-mental-health/harmony-at-lifecourse-seminar/), and [AI Camp](/psychology-ai-tool/aicamp-meetup/). If you run a similar meetup or community group we are willing to come and talk. * Please give feedback, no matter how informal. When we know how people are using the tool, this can help us improve it.