Melissa DiLoreto

By Mitali Ayyangar, Director, Global Communities Program, DataKind Earlier this month, the DataKind team participated in the Global Digital Health Forum (GDHF) in Nairobi, one of the leading international gatherings for digital health knowledge sharing and collaboration in low- and middle-income countries.  Our week kicked off with the pre-conference Global Women Leaders in Digital Health

By Caitlin Augustin, PhD, Vice President, Product & Programs, DataKind Insights from a Complete College America NEXT panel on how common data models – and shared data infrastructure – can unlock better outcomes for students. At DataKind, we see every day how much possibility is trapped behind fragmented systems. This conversation explored not just the

Around the world, climate change is intensifying health risks – yet many health systems still lack the localized, actionable data needed to anticipate outbreaks, protect communities, and strengthen climate resilience.  To address this, DataKind developed the global climate-health landscape report that examines the barriers preventing health systems from using climate data effectively, while also surfacing

Serving more than 68,000 students, the University of Central Florida is leveraging DataKind Edvise to make its student success efforts more proactive, data-driven, and scalable. By giving Academic Success Coaches timely, personalized insights about each student’s needs, Edvise is helping UCF strengthen engagement, streamline workflows, and continue building on its momentum toward higher retention and

We’re thrilled to welcome Noreen Mayat to the DataKind team as our Data Analyst. With a background in data science and a deep commitment to using technology for social good, Noreen brings both technical expertise and a passion for equity-driven impact. From exploring machine learning applications that address real-world challenges like gender inequality and public

We’re excited to welcome Kayla Wilding to the DataKind team as our Senior Data Scientist! With a background spanning economic consulting and international development, Kayla brings deep expertise in applying machine learning and data science to complex financial and social impact challenges. From advancing financial inclusion to exploring innovative applications of AI, she’s passionate about