Title: Pedagogy and challenges for online teaching

Abstract:

The pandemic has caused an accelerated change in higher education in the UK and across the world, with online learning becoming an attractive proposition for many. But while there are a number of institutions with decades of experience in distance learning, for the majority of ‘traditional’ face-to-face universities the intake of distance learning has been rushed, to transform their offering into a blended format. However, it is not the same to teach a student who opted voluntarily to study through distance learning courses, that to teach someone who, as a member of a face-to-face institution, expects different kinds of interaction with peers and staff, access to resources, and immerse themselves in full university life. This presentation will provide some insights on my experience as both student and teacher on distance learning settings, and as digital capabilities expert, highlighting the different approaches required to keep student engagement and successful outcomes, including examples of innovative approaches to teaching and assessment.

This seminar is in-person and via MS Teams Click here to join the meetingLink opens in a new window

Title: Belief Heterogeneity and Risk Amplication

Title: Investments, Connections, and Innovation: Evidence from Chinese Artificial Intelligence Startups

Author: Jian Xie and Kang Zhou

Abstract: Large technology firms have advantages in new technologies such as Artificial Intelligence, due in part to data and network effects. For Artificial Intelligence (AI) startups, investments by these large technology firms could be more effective at increasing innovation than investments by firms without the same data and network advantages. We use a staggered difference-in-difference approach to show that Chinese AI startups innovate more after they receive direct investments from large technology firms. These startups increase their AI technology output, as measured by both AI-related patent applications and registered software. Using a triple-difference approach, we show that the impacts of investments from large technology firms are more pronounced than those from venture capital firms and other investors. We confirm these findings using an instrumental variables approach based on previous investments by large technology firms in peer startups. Our evidence suggests that investments by data-rich technology firms shape AI innovation by startups and contribute to the rise of AI industry.

This workshop is via MS Teams, click here to join the meeting.

Title: The impact of climate transition risks on financial stability: A systemic risk approach

Zoom Link: https://monash.zoom.us/j/86161096916?pwd=eUtLZEl3dUJIakR0WGNyUVNkVVlSUT09

Title to be advised.