We are organizing a Special Track on the use of ML on Embedded Devices: applications for Social Good at the ACM International Conference on Information Technology for Social Good (GoodIT 2021).

This track will focus on applications for social good that make use of the fast-growing branch of ultra-low power machine learning technologies. These devices have a huge potential, especially in developing countries, as they enable the creation of a healthier and more sustainable environment for all. They are low power by design (typically in the single milliwatt and below power range) and do not require a stable connection to the Internet.

The topic is timely as the recent explosion of ML-enabled embedded devices will have an impact on applications for social good: increasingly common examples include applications of image recognition with ML on inexpensive devices in wide varieties of fields like agriculture, public health, anti-poaching surveillance etc. Moreover, this is a very new topic and there are few conferences that focus on the applications of ML in embedded devices that have an impact on society.

Topics may include, but are not limited to:

  • Applications using TinyML;
  • Data privacy, security, and anonymity when using ML on Embedded Devices;
  • HCI for ML on Embedded Devices;
  • Sustainability of ML on Embedded Devices;
  • Advanced techniques for improving ML performance in resource-limited environments, like transfer learning, data augmentation.

Important Dates
Submission deadline: May 1, 2021
Notification of acceptance: June 22, 2021
Camera Ready: July 10, 2021

Papers must be in English and should be up to 4 pages in length. Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.

Papers should be submitted via the HotCRP submission website.

Ahmet Onat, Sabanci University, Turkey

Program Committee Members
Marco Zennaro, The Abdus Salam International Centre for Theoretical Physics, Italy
Sandor Markon, Kobe Institute of Computing, Japan
Ahmet Onat, Sabanci University, Turkey
Osman Kaan Erol, Istanbul Technical University
Erhan Oztop, Osaka University/Ozyegin University
Ece Olcay Gunes, Istanbul Technical University
Mustak Yalcin, Istanbul Technical University
Berrin Yanikoglu, Sabanci University
Vahid Tavakol Aghaei, Bahcesehir University
Hisato Shima, Kobe Institute of Computing
Ryosuke Okuda, Kobe Institute of Computing
Toshiro Takahara, Kobe Institute of Computing