At the Institute for Interdisciplinary Data Science Research (I2DSR), our mission is to drive transformative change through pioneering research and innovation in data science. We are committed to promoting diversity, equity, inclusion, and accessibility (DEIA) in computing
by addressing technological inequality and marginalization, particularly among underrepresented groups such as Black/African-American, Hispanic/Latinx, Immigrants and refugees, LGBTQIA2S+ individuals, Persons with disabilities, and more. Our work is guided by the belief that
data-driven insights can lead to profound social impact, and we strive to empower individuals and communities through our research. By conducting cutting-edge research on real-world problems, we aim to advance the frontiers of knowledge and foster a more inclusive and
equitable society. Through collaboration, education, and advocacy, we are dedicated to building a future where everyone has equal access to the benefits of data science and technology.
Below are ten goals and learning objectives that align with the mission of I2DSR:
Conduct innovative research that addresses real-world problems and contributes to the advancement of data science.
Promote diversity, equity, inclusion, and accessibility (DEIA) in computing and data science.
Increase the participation of underrepresented groups, including Black/African-American, Hispanic/Latinx, Immigrants and refugees, LGBTQIA2S+ individuals, Persons with disabilities, and others, in computing and data science fields.
Provide training and mentorship programs that empower individuals from diverse backgrounds to pursue careers in data science.
Collaborate with industry partners, government agencies, and non-profit organizations to apply data science solutions to societal challenges.
Advocate for policies and initiatives that promote diversity and equity in the data science and technology sectors.
Create a supportive and inclusive community that values diverse perspectives and experiences.
Foster interdisciplinary collaborations that leverage the expertise of researchers from different fields to address complex problems.
Engage with the broader public through educational programs, workshops, and outreach activities to raise awareness about the importance of data science and its potential for positive impact.
Evaluate and assess the effectiveness of our programs and initiatives to ensure they are meeting their goals and making a meaningful impact.