From a camera that can capture the brain at a scale never before possible, a musical technology supporting carers of dementia patients, to protecting sheep shearers from injuries, we are super excited to welcome the 2022 TRAM Runway cohort. There are 11 teams completing the program this year, making this our largest Runway cohort yet!
Six of the 11 teams completed our pre-accelerator program, TRAM Track, only a few weeks ago. We’re proud to be working with participants from five different faculties across the University of Melbourne, ranging from the Faculty of Fine Arts and Music to the Faculty of Medicine, Dentistry and Health Sciences.
TRAM Runway, now in its seventh year, is a 12-week program that builds on the customer discovery work that has been done during TRAM Track. The program focuses on helping established teams fine-tune their problem-solution fit, build and validate their business models and work towards their go-to-market strategies.
Bonnie Zhang, TRAM’s Program Coordinator is very excited about the diversity in this year’s cohort:
“I am so proud and excited to be working with the TRAM Runway teams this year. The talent pool is huge! The vast range of problems the TRAM Runway researchers are trying to solve in this cohort blows my mind.
It is a true testament to the program having our largest ever cohort – it shows how valuable it is to so many researchers. Runway has grown so much since its inception in 2016, but so have we. We’ve iterated and honed the program in response to what we’re hearing from our participants to make it more accessible by more people. We’re incredibly happy with the diversity of the 2022 cohort, particularly having ten female researchers and our first ever Runway team from the Faculty of Fine Arts and Music.”
Over the next 12 weeks, the 11 teams will receive intensive support and coaching from the TRAM program team and its mentors. The researchers will participate in our Dolphin Pool, a program pitch event to investors, which aims to collect constructive feedback to use in future investment pitches. The program culminates with TRAMaganza on 3 November 2022, which is a chance for the TRAM Runway participants to share all they have learnt with the entrepreneurial community.
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Introducing the 2022 TRAM Runway cohort:
3D Whiteboard: Teaching 3D content in classrooms is difficult and is currently limited to 2D. The team has developed a 3D whiteboard using VR and AR that allows a teacher to precisely annotate 3D objects and enables real-time teacher-student interaction with minimal training (Faculty of Engineering and Information Technology).
Australian Hemp Panels: The existing materials for building panels are flammable and not sustainable. Australian Hemp Panels utilises the core of the hemp, which is called hurd and turns this into a building product (Faculty of Engineering and Information Technology).
Chromos Labs: The team is developing an ultra-high- resolution camera capable of capturing the brain at the level of its smallest structure - the synapse (Faculty of Science).
GenEq: GenEq uses courses to increase awareness of the mental and cognitive load of women in workplaces and governments, averting women’s workforce attrition (Faculty of Arts).
GP Ethics: Our GPs face ethical dilemmas when patients request treatments that are medically unnecessary, causing stress and decreased wellbeing for the GP. To combat this, the team is developing a new ethical support program for GPs and an education program for patients (Medicine, Dentistry and Health Sciences).
Music Attuned Technology: Care via eHealth (MATCH): MATCH supports the residential aged carers working with dementia patients through music-attuned care (Faculty of Fine Arts and Music).
Nanoscale Bioimaging: Hatchery eggs are incubated and chicks are sexed days or even weeks after hatching when it is possible to determine gender through a labour intensive process. The team has developed a nanoscale bio-imaging technology that identifies properties such as gender at an embryonic stage (Faculty of Science).
Navigating Health: Patients find it difficult to navigate the health system in Australia. Navigating Health simplifies the health system for patients by using demonstration models and frameworks (Medicine, Dentistry and Health Sciences).
ShearAssist: The team is improving safety and productivity for sheep shearers using sensor technology, eliminating lower back injuries (Faculty of Engineering and Information Technology).
XChip: XChip is artificial intelligence without any software. It is a chip technology for the brain of robots that learn like humans and animals do (Medicine, Dentistry and Health Sciences).
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