This public speaking lesson focuses on presenting and conveying important information, details, facts, and opinions in a concise manner. This lesson presents several different real-world situations where students are asked to share their perspectives, experiences, and stories where they are to give supporting details and facts that are important to the context of different social interactions (talking with peers, colleagues, community, interviews, etc). With the creation of this lesson, different level options of technology integration are offered to allow for flexibility and modifications for this lesson to best serve various classrooms and their students (low tech, medium tech, and high tech options). This lesson will help students analyze a social interaction and/or topic and have them clearly and concisely give an authentic response.

This public speaking lesson focuses on presenting and conveying important information, details, facts, and opinions in a concise manner. This lesson presents several different real-world situations where students are asked to share their perspectives, experiences, and stories where they are to give supporting details and facts that are important to the context of different social interactions (talking with peers, colleagues, community, interviews, etc). With the creation of this lesson, different level options of technology integration are offered to allow for flexibility and modifications for this lesson to best serve various classrooms and their students (low tech, medium tech, and high tech options). This lesson will help students analyze a social interaction and/or topic and have them clearly and concisely give an authentic response.

Although there is clear potential to improve science and innovation systems through big data and open science, barriers still remain with respect to data sharing efforts. How can the available massive and diverse data collections be used and shared more efficiently to boost global research and innovation and improve care? What actions are needed to facilitate open access to research data generated with public funding?

The OECD is bringing together policy makers, funding agencies and researchers to tackle the issue of open access to data, focused around developing good practice and principles on data governance. Four case studies highlight best practice and identify barriers to progress.

Following an OECD-hosted consultation with the Ontario Brain Institute (OBI), the United Kingdom Medical Research Council (MRC), and the US Alzheimer’s Association, two concrete examples of global data sharing have been created. The first, focused on providing a wealth of open-source biomedical data for the community (deep data), builds upon GAAIN, the Global Alzheimer’s Association Interactive Network, and links eleven international partners through a federated network of data resources. The capability of this network is being extended significantly through connections with the French National Alzheimer’s Database (BNA), the European Medicines Informatics Framework (EMIF), and the Canadian based Longitudinal Online Research and Imaging System (LORIS). The second focused on linking big data approaches at the population level (broad data), is a complementary collaboration between the Canadian Consortium on Neurodegeneration in Ageing and the Dementias Platform UK to share and analyse large-scale complex population-wide datasets from up to 2 million individuals, including imaging, genomics and health data.

As a result, these collaborations will enable the aggregation of an unprecedented volume of individual and population-level data, offering an open science solution to help research to more efficiently tackle Alzheimer’s disease and related disorders.

This resource intends to give a general outline of ICT for development (ICT4D). No previous knowledge about ICT4D is needed. The resource focus on major definitions and terms. An overview of the different phases of ICT for development initiatives and an outlook to the future of ICT4D projects is given.

In the Introduction you will find definitions of key terms of the field.

In the unit ICT4D Evolution you'll find a description of the different ICT4D phases and why most ICT4D projects failed.

The unit ICT4D & Openness gives a short explanation why openness is important in the ICT4D field.

The Future of ICT4D unit lists some important points of future ICT4D projects.

In the Resources part you'll find the bibliography, a reading list of key articles and examples for further reading as well as a list of more videos.

This image was generated with DALL-E AI for a presentation about Knowledge Equity and Open Education in March 2023. It has been used several times to illustrate the ideas behind sharing knowledge openly. 

How would you measure a personality? What, exactly, is the self? Well, as you've come to expect, it's not that easy to nail down an answer to those questions. Whether you're into blood, bile, earth, wind, fire, or those Buzzfeed questionnaires, there are LOTS of ways to get at who we are and why.

Chapters:
Introduction: Personality Types
Trait Theory of Personality
The Big 5: Conscientiousness, Agreeableness, Neuroticism, Openness, & Extraversion
Social Cognitive Perspective of Personality
Internal vs. External Locus of Control
Testing & Measuring Personality
Thematic Apperception Test
Personality Trait Inventories
Minnesota Multiphasic Personality Inventory
Social Cognitive Personality Assessments
Humanistic Self-Concept Evaluations
Who or what is the self?
Review & Credits
Credits