Our Experience Talking to Undergraduates at the Field of Dreams Conference

By Kimberly Kaufeld and Daniel Taylor-Rodriguez, both postdoctoral fellows at SAMSI this year.

Kimberly Kaufeld at the podium

SAMSI postdoc Kimberly Kaufeld speaking at the Field of Dreams Conference in Arizona

A few weeks ago, Daniel and I had the pleasure of presenting and attending the Field of Dreams conference in Phoenix, AZ. The conference is supported by the National Alliance for Doctoral Studies in the Mathematical Sciences and is for underrepresented undergraduate students in the mathematical sciences. The conference hosted workshops on how to network at conferences, interview for graduate school, and talk to schools and institutes such as SAMSI that offer workshops on various topics in the field.

Daniel Taylor-Rodriguez at the podium

SAMSI postdoc Daniel Taylor-Rodriguez presenting at the Field of Dreams Conference.

Daniel and I had the opportunity to present our research along with other postdocs from institutes in the mathematical sciences at the conference.  It was a great way to exhibit how different examples of research in the mathematical and statistical fields of ecology, cancer research, topology, and structures tie together in the sciences. It also a way to demonstrate what types of work one can do and communicate to undergraduates the exciting opportunities there are in mathematical and statistical research.

crowd shot of the students at the conference

Students listen to the speakers intently.

One of the things that impressed me was the excitement and drive of the undergraduates attending this conference. At our SAMSI table in the evening, Daniel and I were able to talk to undergraduates about the undergraduate workshops SAMSI offers each year, which many were excited to hear about. The juniors and seniors asked insightful questions about SAMSI and what led Daniel and I to the field of statistics. It was also when we got the chance to hear his/her background, what their goals are, and what they want to do in the future. It was impressive to hear what they had to say. Some of the undergraduates already narrowed down to the exact field they wanted to go into as they already starting projects related to neuroscience, statistical ecology or biostatistics. The conference opened the undergraduates’ eyes to the possibility that they can succeed if they put themselves out there. They made the right first step, attending the field of dreams to network and create opportunities for themselves.  They will one day make up the field and I was fortunate enough to talk to them. I hope that I am able to attend more in the future.

 

 

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October 2013 Undergraduate Workshop

The following was written by Theresa Gebert, an undergraduate student at Harvard University.

group shot

Undergraduate workshop participants.

As part of its Education and Outreach Program this year, SAMSI offered a two-day undergraduate workshop on “topics of current interest in statistics and applied mathematics.” In addition to an overview SAMSI Research Programs, the program topic was Computational Methods in Social Sciences.

Just like many of the other program participants, I had heard about this workshop from my advisor, Joe Blitzstein, the co-director of the Undergraduate Statistics Program at Harvard. Despite my summer research experience in the statistical analysis of human behavior, I was not quite sure what to expect when I flew from Boston, Massachusetts to Raleigh, North Carolina on a Wednesday night. What sorts of computational methods do social scientists need?

As it turns out: many. These methods range from the simple t-test to complex, high-dimensional network analysis. We learned about the building blocks of social networks from Professor Krista Gile, including what we often exclude in our representations, such as multi-modal networks. We learned about political networks from Bruce Desmarais and the idea that the study of people can actually be a systematic process. We were also introduced to issues of data confidentiality by Jerry Reiter, who explained that recoding variables or hiding values is not always enough. (The solution he suggested, first introduced by statistician Donald Rubin, is fully synthetic datasets!) On the very first day, the undergraduate participants were opened to the world of social science as a quantitative problem, which was certainly an approach very different from the one I had encountered before.

students sitting in lecture room

Students at the workshop.

But beyond the classroom, the workshop also encouraged the social science of learning from others’ experiences as well. Every speaker started by introducing their own academic and life trajectory: what did they start out doing? What do they do now? How have their goals and dreams changed over time? It was fascinating to learn about the power and the limits of our knowledge in the realm of social networks, but it was equally fascinating to hear that people who had studied English, Chemistry, or hated math, ended up finding their way into social science and statistics somehow.

In addition, it was very valuable to get to know and learn from fellow participants as well. I met some of the brightest, most intellectually curious undergraduate students in those two days. Whether we were bonding over the complexity of the lecture we had just heard, the lab tutorial we were trying to solve, or the problem sets we had to finish before we flew back to our respective schools, it was truly an atmosphere of intellectual curiosity and camaraderie. I have remained in touch with several of the participants; I certainly hope I might get the chance to enter mathematics competitions or hackathons with them in the future!

The next day, David Banks presented a fascinating lecture on dynamic network models; starting with concepts directly from graph theory, Banks ended the talk with his own research in the social network of political blogging in the aftermath of the Trayvon Martin incident, which he conducted using statistical techniques in machine learning and language recognition. It was followed by a practical introduction to the software R and a package that enables the visualization of social networks.

Even though the workshop was just two days, it was surprisingly difficult to fly back to Boston after such an inspiring, intellectual hiatus from college life. What was so satisfying about my experience was that I got the chance to expand both my academic and social networks; I had engaging conversations with fellow participants as well as the brilliant SAMSI post-graduate fellows, conversations which never failed to spark new ideas and interests. I got the chance to meet and listen to professors from a variety of fields and high levels of achievement, who were also incredibly approachable and genuine. The workshop completely surpassed every expectation and cemented my belief that graduate school in Statistics is my dream. I certainly hope I will get the chance to become more involved with SAMSI in the future, and I am so grateful to them for making these opportunities possible for the undergraduate community!