evidence-based research
Evidence Partners Raises $20M for Automated, Evidence-Based Research
DistillerSR is a web-based platform that allows researchers to collaborate concurrently on the same projects from anywhere, without blocking or overwriting one another. Bootstrapped since its formation in 2008, Evidence Partners pioneered the development of AI-enabled literature review software through the development of DistillerSR, which has had double-digit growth since the platform's launch in 2009. Literature reviews are the cornerstone of evidence-based research, but their production has traditionally been highly manual, time consuming, and error prone. Today, more than 300 of the world's leading research organizations, including more than 60 percent of the largest pharmaceutical and medical device companies, trust DistillerSR to securely produce transparent, audit-ready, and regulatory compliant literature reviews faster and more accurately than any other method. With more organizations using DistillerSR to automate their systematic reviews, healthcare researchers can make more informed and time-sensitive health policy decisions, clinical practice guidelines, regulatory submissions, and deliver better overall research.
- Health & Medicine > Pharmaceuticals & Biotechnology (0.43)
- Health & Medicine > Public Health (0.38)
Facebook pumps $7.5m into an independent AI ethics centre
An independent AI ethics research centre is set to receive $7.5 million of funding courtesy of the folks at Facebook. The new research centre is called the Institute for Ethics in Artificial Intelligence and was created in collaboration with the Technical University of Munich (TUM). Facebook, like many companies, is fighting outside concerns about the development of AI and its potential societal impact. The centre should help to ensure Facebook keeps up with ethical best practices. "At Facebook, ensuring the responsible and thoughtful use of AI is foundational to everything we do -- from the data labels we use, to the individual algorithms we build, to the systems they are a part of. We're developing new tools like Fairness Flow, which can help generate metrics for evaluating whether there are unintended biases in certain models. We also work with groups like the Partnership for AI, of which Facebook is a founding member, and the AI4People initiative. However, AI poses complex problems which industry alone cannot answer, and the independent academic contributions of the Institute will play a crucial role in furthering ethical research on these topics."
- Europe > Germany > Bavaria > Upper Bavaria > Munich (0.26)
- North America > United States > California (0.06)
- Europe > Netherlands > North Holland > Amsterdam (0.06)
- Information Technology (0.55)
- Social Sector (0.37)