Workshop Plan

Workshop Background & Detailed Plan for the Workshop

Introduction

Big Data is impacting society from businesses to neighborhood community centers and is here to stay. There are more opportunities than ever before to gather information and make an impact. Big MM includes a broad field of media and Information and Communication Technology (ICT). While Big Data encompasses all sort of data types, including multimedia data (Bringing big data into the enterprise fold, 2012), how is the available multimedia data being handled in the mobile context?

The overarching conversation circles around community resilience as a result of mobile Big MM influencing social media communities, both local and global. This workshop seeks to provoke the development of factors to analyze Big MM from sensitive to significant differences, especially across cultural communities, sharing beliefs and habits. What are the implications of deploying multimedia big data analytics tools on the palm of your hand in order to advance decision making and yet maintaining individual privacy? How might real-time systems generate trustworthy feedback supporting integrity within the multimedia content? What are the data structure solutions to combine multimedia with other type of big data when developing and deploying analytics tools on mobile device (Bringing big data into the enterprise fold, 2012)?

This workshop will dedicate time to explore these critical questions within the IEEE community and to generate systematic recommendations at a larger scale

Scope & Outline

Explore the influence and impact of social media related to various levels from individual, cultures, corporations, government and humanity. The workshop will be outlined as follows:

1. Introduction (15 minutes): the workshop will start offering elements of foundations to share a common language about Big MM focus on social media

2. Panel discussion (60 minutes): four or five panelists will share their recent research studies associated to social media, its impact on a variety of human interactions (cultural, political, cognitive/pedagogical, economic) and their process for analyzing the large quantity of data gathered.to cognitive impact, developmental growth, community influence, and business growth

3. Structured Critical Reflection Small Group Activity (60 minutes): the workshop will organize participants into small groups to exchange their experiences and integrate concepts from the panel discussion, pose questions about how causal inference motivation influences decision making and groups present summary of discussion. Each small group will generate a brief presentation to share with the whole. 

4. Playtime (15 minutes): participants will be provided with an opportunity to “play” with a couple of tools, bringing the discussion from analytical to experiential learning. The sample ICT mobile applications presented will range from examples in development, such as Headliner, to proven pedagogical applications, such as Metaverse [https://youtu.be/MLeZo7X5rnA?t=2883]. These tools illustrate how ICT and digital humanities methods engage users in new cognitive levels of interaction through "gamification".

5. Evaluation Small Group Activity (30 minutes): groups will be asked to evaluate big issues surrounding big data, such as upholding data collection ethics, supporting privacy, and impact of data management, in order to identify key concepts to promote positive community resilience in Digital Humanities.

6. Closing Presentations (30 minutes): Small groups will post suggested key concepts around the room for a gallery walk and talk constructing possible guidelines for expectations to promote digital humanities in cellular applications. The expected outcome is to develop key resolutions for practitioners to consider adopting to support positive community resilience within the realm of Digital Humanities.


References:

Balmas, M. (2014). When fake news becomes real: Combined exposure to multiple news sources and political attitudes of inefficacy, alienation, and cynicism. Communication research, 41(3), 430-454.

Bringing big data into the enterprise fold. (2012). Database Trends & Applications, 26(4), 14-15.

Chen, Y. C., & Hsieh, T. C. (2014). Big data for digital government: opportunities, challenges, and strategies. International journal of public administration in the digital age (IJPADA), 1(1), 1-14.

Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... & Schudson, M. (2018). The science of fake news. Science, 359(6380), 1094-1096.

Lubin, I. A. (Ed.). (2017). ICT-Supported Innovations in Small Countries and Developing Regions: Perspectives and Recommendations for International Education. Springer.

Chen, Shu-Ching. (2018). Multimedia for Data Science. IEEE MultiMedia, 25(4), 5-7.

Iqbal, M., Kazmi, S., Manzoor, A., Soomrani, A., Butt, S., & Shaikh, K. (2018). A study of big data for business growth in SMEs: Opportunities & challenges. 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2018, 1-7.

Mezirow, J. (1990). Fostering critical reflection in adulthood: A guide to transformative and emancipatory learning. San Francisco: Jossey-Bass.


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