A datathon is a time-constrained competition involving data science applied to a specific problem. In the past decade, datathons have been shown to be a valuable bridge between fields and expertise . Biomedical data analysis represents a challenging area requiring collaboration between engineers, biologists and physicians to gain a better understanding of patient physiology and of guide decision processes for diagnosis, prognosis and therapeutic interventions to improve care practice. Here, we reflect on the outcomes of an event that we organized in Israel at the end of March 2022 between the MIT Critical Data group, Rambam Health Care Campus (Rambam) and the Technion Israel Institute of Technology (Technion) in Haifa. Participants were asked to complete a survey about their skills and interests, which enabled us to identify current needs in machine learning training for medical problem applications. This work describes opportunities and limitations in medical data science in the Israeli context.

Military operations are facing an increasingly disruptive battlefield from information warfare, to malicious cyber activity, and political information subversion. Combating these threats not only requires rapid advancements in data and adoption of transformative technologies such as AI and machine learning, but also a change in the traditional mindset and culture of all ranks in the military. Military branches have needed to be forward thinking to make sure they keep up with these adapting environments and threats. In particular, the Department Of The Air Force has understood that in order to combat these new threats they need to educate and train their airmen accordingly. By increasing data-use and literacy to improve the efficiency and effectiveness of decisions, readiness, mission operations, and cybersecurity, the Department of the Air Force is changing their culture to be a more collaborative organization.

The need: clinical trials are moving earlier to intervene before the onset of dementia itself. As the amount of data that we have available to us increases rapidly, it is becoming vital to innovate in order to make sense of it and gain new insights. Your focus: at the Exeter datathon, you will work with others in the DPUK Data Portal. You will focus on predicting dementia risk; conversion from mild cognitive impairment to dementia; and the potential of transfer learning to facilitate predictions between different datasets. Your skills: successful applicants will have experience in machine machine learning approaches and an interest in dementia.

Organizing Data Unchained Malaysia was one of the most rewarding things I have ever done in my career. In November 2018, we invited 100 brilliant data enthusiasts, out of 300 candidates, to a resort in Kuala Lumpur to solve a data problem and to create a suitable business model for it. We gave participants anonymized sample internet and phone call data, connected car records and some points of interest. We asked them to predict the destinations towards which cars are moving, to create a safe driving index and to build a business plan that uses these two models commercially -- all this in just 24 hours. It was crucial for participants to possess a good blend of technical and business skills to make it through the competition.

FinTech is a hot topic, not just in India, but globally. Not just the big banks and IT companies, several startups are trying to crack the next big thing which will shape the future of banking, including tech like blockchain, Artificial Intelligence and Machine Learning. With Datathon, YES Bank, India's fourth largest private sector bank has taken upon itself to figure out how to leverage the new age technologies and turn them into scalable solutions. Launched in September 2018, YES Bank Datathon had 6000 Data scientists, engineers, and developers work to develop 20 data-driven products in an accelerated 100 day period. The top 200 teams (out of 1600) included not only students from top technology institutes like IIT Bombay, Chennai, Kharagpur, but also 150 professionals from organizations like IBM, Walmart Labs, Siemens, Amazon Development Centre, Capillary Technology, TCS, Accenture, Amdocs and Infosys.

A team of data scientists, researchers and clinicians from UNSW Sydney have won a major prize at the second annual Healthcare Artificial Intelligence Datathon held at the National University of Singapore (NUS). The two-day event – organised jointly by the National University Health System (NUHS), Massachusetts Institute of Technology (MIT) and NUS – hosted more than 200 local and international data scientists and clinicians last weekend to address current problems in healthcare with the latest machine learning and artificial intelligence technologies. The joint UNSW-NUS team won first prize in the Critical Care Track, competing against eight other teams to analyse clinical data contained in the MIT/Philips eICU Collaborative Research Database, comprising information on more than 200,000 patients treated in intensive care units in US hospitals over the past five years. The UNSW-NUS team included researchers Oluwadamisola Sotade, Dr Mark Hanly and Oisin Fitzgerald from UNSW's Centre for Big Data Research in Health, Dr Tim Churches, data scientist from the Ingham Institute for Applied Medical Research and UNSW South Western Sydney Clinical School, and Dr Peter Straka from UNSW Mathematics and Statistics. "The installation of next-generation electronic medical records systems in ICUs and throughout hospitals enable very sophisticated machine-learning and artificial intelligence algorithms to be developed to assist busy clinicians in patient care and treatment decision making." said Dr Churches.

ADP uses real, empirical, anonymized data from more than 30 million employees to anticipate how human work behaviors will evolve, and the impact that macro trends will have on the way people want and need to work. This year's Datathon focused on unearthing new ways to use the company's data and encouraging technologists across the company to incorporate data into all practices. "Our first Datathon was about testing the speed and process by which we can leverage our world-leading HCM database, which compiles proprietary data from over 90,000 clients," said Marc Rind, chief data scientist at ADP. "This time around, we brought in partners from across ADP to explore their needs and ideate on comprehensive solutions. We gathered the industry's greatest innovators for two weeks of end-to-end development, and will ultimately be able to deliver unmatched value to our clients as a result." Three teams conceived solutions that used machine learning and artificial intelligence to bring ADP data to life for how the future of work will evolve in three key areas, and outputs included the following.

The Datathon is a weekend-long online competition where you are challenged to work on a real-world business case from the areas of computer vision, NLP and AI. You and your team have 48 hours to come up with a solution to a real business challenge based on the provided datasets. The jury and the society will award the most precise, but also creative solutions. The Datathon is entirely held online and opened to the global community via our platform. Anyone who wants to join us in Sofia is welcome.