[AISWorld] AMCIS 2021 – Green IS and Sustainability Track

[Chadi Aoun]

The Green IS and Sustainability Track is calling for papers – due 1 March 2021 by 5:00pm EST. AMCIS 2021 virtual conference is scheduled for August 9-13, 2021: https://amcis2021.aisconferences.org/

The track has a broad set of mini-tracks on Marine Informatics, Data Analytics for Designing and Managing Green IS, Sustainable Transformation, and Artificial Intelligence for Sustainability.

The track is open to any type of research within the scope of Green IS and Sustainability as well as those that adapt research and industry experiences into teaching cases and modules. Here’s a short description of each mini-track:



Maritime Informatics

Maritime Informatics studies the application of information systems to increasing the efficiency, safety, and ecological sustainability of the world’s shipping industry. According to the International Maritime Organization (IMO), international shipping moves about 90 per cent of global trade and is the most efficient and cost-effective method for the international transportation of most goods. Hence, shipping is critical to future sustainable global economic growth.

The industry can be characterized as many independent actors who engage in episodic tight coupling. It has, however, been a late starter to digitization, possibly because of the long history of autonomy and the lack of inexpensive high bandwidth communication when on the ocean. A lack of information sharing impedes collaboration and reduces efficiency and safety. As a result, there are many opportunities to apply information systems theory and knowledge to a critical global industry.



Data Analytics for Designing and Managing Green IS

COVID-19 has accelerated the need for innovative strategies that promote sustainable and resilient approaches in the use of technologies such as AR/VR, blockchain, IoT, and robotics. Green IS utilizing data analytics and data sciences have significant roles to play in evidence-based policy making to support sustainability and in providing tools to monitor and achieve sustainable engineering goals. Further, using data analytics tools and technologies such as social media, biometrics, location analytics, and IoT offers organizations endeavoring for environmental sustainability to create new knowledge and insights that can better connect and configure the disparate system of human activities into an integrated and interlocking whole. The use of big data and location analytics can help align the three dimensions of green IS – technology, people, and institutions. This mini-track invites research papers to understand the theoretical framework and enable technologies that inform the integration of infrastructures and urban services, social structures, and governance.



Sustainable Transformation

Sustainable management aspires towards balancing and integrating social, economic and environmental dimensions. Existing roadmaps, frameworks and systems do not comprehensively support sustainable transformation nor do they allow decision makers to explore interrelationships and influences between the sustainability dimensions. Thus leading to visions without actions and actions without guiding visions. This is true at the micro level in the life of individuals and families and at the macro level in organizations, supply chains and societies as a whole.

This minitrack will explore concepts, models (qualitative, quantitative, optimization, simulation), processes, frameworks, architectures, roadmaps, and systems that will enable individuals, families, organizations, supply chains, and ultimately society to become more sustainable. We seek papers on approaches that enable us to support, share, measure, benchmark, model, quantify, qualify sustainability goals, practices, performances, and indicators. This minitrack also welcomes other relevant topics to Green IS and sustainability, that do not clearly fit in other minitracks.



Artificial Intelligence for Sustainability

This minitrack adopts a socio-technical perspective to explore how applications of artificial intelligence (AI) can be used to achieve environmental sustainability. The challenge of sustainability is multi-dimensional, involves multiple natural and human systems engaged in complex interactions, and requires trade-offs between conflicting values of decision-makers and stakeholders. Machine-based intelligence can help firms and society tackle complex issues of sustainability by transcending the limitations of conventional computing and human intelligence. Research of all types is invited, from conceptual work that develops theories around AI and, to empirical investigation of the interplay between AI and sustainability, and design work that examines the effectiveness of potential solutions.


Further information about the track, mini-tracks, AMCIS call for papers, and PCS submission is available here:
https://amcis2021.aisconferences.org/track-descriptions/
https://amcis2021.aisconferences.org/submissions/call-for-papers/

Best Regards,
Track Chairs: Nui Vatanasakdakul, Pratyush Bharati, and Chadi Aoun

Dr Chadi Aoun
B.S. Bus, MCom, PCHE, PCEnv, MACS, MAIS, PhD
Office: +974 4454-8603
Fax:    +974 4454-8410
chadi at cmu.edu
Education City, PO Box 24866
Doha, Qatar
http://www.qatar.cmu.edu
[Carnegie Mellon University in Qatar]

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