Internship in Knowledge Management at United Nations Volunteers

By
Just want to seize the opportunity to distribute this announcement for an internship in Knowledge Management & Research in my office department at UN Volunteers.

The intern would support our Research and Development Unit in a variety of research and knowledge management related tasks which would include:
  • Researching, collecting, analyzing and editing documents related to Volunteerism for Development (V4D), volunteers management and UNV organizational procedures.
  • Assist in tasks related to mainstreaming V4D within the UNV volunteer management cycle and support the cross-sectional house-wide Task Force.
  • Assist in identifying and creating new content related to UNV, including the development of a UNV online glossary and research on external online resources.
  • Assist in maintaining the UNV Knowledge Platform using a web-based Content Management system. This includes upload and updates of documents and articles, changes to navigation and structure as well as collection of in-house knowledge resources in cooperation with different organizational units.
  • Assist in the knowledge capture during meetings, interviews and events by preparing meeting minutes and protocols.
The internship is for 3 months (11 February 2008 – 9 May 2008), but dates are flexible. If you're interested, just check out this site and submit your application (CV & cover letter, in English) until Janurary 23, 2008. Good luck!

Comments

Post a Comment

Popular posts from this blog

Ten PowerPoint Slides on Knowledge Management that Have Influenced Me (Part 1)

By
Image
Do you hate PowerPoint presentations? Well, you probably have endured a lot of gruesome slides throughout the course of your professional life. But despite the usual wisdom that PowerPoint slides for presentations should be avoided whenever possible, I actually think that some well-crafted slides presented in the right context can be a very good thing. In fact, there are a number of slides that had a very positive impact on me in my knowledge management career. I treasure them because they manage to bring complex concepts to the point and often communicate an entire lesson’s worth of insight just with one diagram, graph or image. Here’s a list of ten powerful slides on knowledge management that have influenced me, which I am posting in two parts ( for Part 2 click here ). See for yourself whether you can get some inspiration from them. 1. From KM incompetence to competence © by Chris Collison and Geoff Parcell This graphic is taken from Chris Collison’s and Geoff Par...
Read more

Discussing ChatGPT with the World Bank: Questions on research, knowledge management, bias and creativity

By
Image
      (Illustrative Image generated with Midjourney) On May 3, 2023, I had the pleasure to talk to the World Bank Group's Community of Practice on Knowledge Management about the opportunities that ChatGPT and similar tools present to the KM space. The group was exceptionally astute and came up with a number of very important questions that I believe are critical to reflect on. In the following, I am showcasing a few of them, along with my own thoughts that I articulated in the exchange: Question 1: I am interested to know if systems like ChatGPT can generate valuable new knowledge, i.e. combine lessons from a few past projects and suggest how should we approach the upcoming project? Generative models like GPT-4 will always build on existing bodies of knowledge, and therefore are (at the moment at least) better suited for a look into the past than as a tool for foresight or predictive analysis. However, as you suggest, we can ask it to combine information, theories, framew...
Read more

Using ChatGPT to Counter Bias, Prejudice, and Discrimination

By
Image
Bias is a problem in the use of AI. What most people don't know, however, is that you can use ChatGPT specifically to expose bias in AI outputs (as well as in our human-written texts). In this article, I'll show you how! All people have biases. AI is trained on human-generated texts from the web. This means AI also inherits the biases of an internet dominated by content from Western, white, and English-speaking people. Just as we have to deal with the unquestioned assumptions and prejudices of our fellow humans (and ourselves!), we must also do so with AI. Even more so, because AI, by default (i.e., without specifically asking for possible biases), actually amplifies existing biases in the training data .  So, what can we as users do? We need to question every text, and every assumption, no matter who wrote it or who made it. And this is where AI can help us again. Because just as it amplifies existing advantages in training data without special instructions, AI can also be cal...
Read more