Data sleuths’ work is thankless. They must get credit for retractions The scientific record should reflect what actually happened, not a sanitised narrative that leaves out the messy bits, say Ivan Oransky and David B. Allison By Ivan Oransky 15 January
Detecting Parkinson’s Disease using Deep Learning Techniques from Smart Phone Data Promoted by Khalifa University
Little Bridge (finalist): Amazon Alexa EdTech Skills Challenge EMEA 2020 Promoted by Amazon Alexa EdTech Skills Challenge
Levooba (finalist): Amazon Alexa EdTech Skills Challenge EMEA 2020 Promoted by Amazon Alexa EdTech Skills Challenge
Guy Daly (competition judge): Amazon Alexa EdTech Skills Challenge EMEA 2020 Promoted by Amazon Alexa EdTech Skills Challenge
Classlife Education (finalist): Amazon Alexa EdTech Skills Challenge EMEA 2020 Promoted by Amazon Alexa EdTech Skills Challenge
Ambiently (finalist): Amazon Alexa EdTech Skills Challenge EMEA 2020 Promoted by Amazon Alexa EdTech Skills Challenge
Adva Levin (competition judge): Amazon Alexa EdTech Skills Challenge EMEA 2020 Promoted by Amazon Alexa EdTech Skills Challenge
Following 250 years of tradition and shaping 21st-century trends – the future of Research, Development and Innovation at Semmelweis University Promoted by Semmelweis University