Friday, February 16, 2018

PSID Data User Training Workshop

The ICPSR Summer Program would like to announce the following workshop, sponsored by the Panel Study of Income Dynamics:

PSID Data User Training Workshop
June 11-15, 2018, University of Michigan, Ann Arbor

This five-day workshop will orient participants to the content and structure of the Panel Study of Income Dynamics, its special topics modules, and the PSID Child Development Supplement and PSID Transition into Adulthood Supplement. The workshop pairs morning instructional sessions led by experienced PSID researchers and staff with afternoon guided lab sessions in which users construct their own analytic data files. 

Admitted graduate students, post-doctoral scholars, and junior faculty or researchers may request to be considered for a stipend to help with travel and housing costs. All applications received by April 13 will be given priority for enrollment. 

Learn more about the workshop and apply to participate through the ICPSR Summer Program.

Support is provided by the Eunice Kennedy Shriver National Institute on Child Health and Human Development.

For more information, contact the ICPSR Summer Program at sumprog@icpsr.umich.edu or (734) 763-7400.

 

Wednesday, February 7, 2018

2018 ICPSR Summer Program in Quantitative Methods of Social Research

2018 ICPSR Summer Program in Quantitative Methods of Social Research 

The ICPSR Summer Program provides basic and advanced instruction across a wide range of methodologies and techniques for research in the social, behavioral, and health sciences. Our courses emphasize the integration of methodological strategies with the theoretical and practical concerns that arise in research on substantive issues.

In 2018, the ICPSR Summer Program is offering more than 80 courses in Ann Arbor, Michigan, and other cities across the US, Canada, and Europe. To view our full schedule and register, visit www.icpsr.umich.edu/sumprog


CURRICULUM
Four-Week Sessions
An immersive learning experience unlike anything else, our four-week sessions allow you to focus on developing new methodological tools while building a community of friends, collaborators, mentors, and future colleagues. Our four-week courses cover introductory, intermediary, and advanced instruction in almost every area of methodology. Our four-week sessions also feature supplemental lectures and talks on important professional topics, such as data reproducibility, research transparency, and methodological issues related to the study of race, ethnicity, and gender. Our four-week sessions take place in Ann Arbor, Michigan; in 2018, the First Session runs from June 25 to July 20, and the Second Session runs from July 23 to August 17.

Short Workshops
For those wanting to learn a specific methodological technique in just a few days, the ICPSR Summer Program will offer more than 40 short workshops from May through August in Ann Arbor, Michigan, and other cities around the world. The 2018 short workshop schedule includes a wide range of courses, from introductory-level material to advanced, cutting-edge statistical techniques, as well as workshops on strategies for reproducing research results, machine learning, qualitative research methods, and the R statistical computing environment.


SCHOLARSHIPS
ICPSR scholarships provide a registration fee waiver for the Summer Program’s four-week sessions. The application deadline for all 2018 ICPSR scholarships is Saturday, March 31, 2018.


QUESTIONS?
Contact the ICPSR Summer Program at sumprog@icpsr.umich.edu or (734) 763-7400.

Monday, February 5, 2018

2017 The State of Data Science & Machine Learning

Kaggle has released its industry-wide survey of the state of data science and machine learning. Check out their report and download the data.


Some takeaways:

  1. While Python may be the most commonly used tool overall, more Statisticians report using R.
  2. On average, data scientists are around 30 years old, but this value varies between countries. For instance, the average respondent from India was about 9 years younger than the average respondent from Australia.
  3. The highest percentage of our respondents obtained a Master’s degree, but those in the highest salary ranges ($150K+) are slightly more likely to have a doctoral degree.